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• Effective Generative AI: The Human-Algorithm Centaur
  Advanced analytics science methods have enabled combining the power of artificial and human intelligence, creating \textit{centaurs} that allow superior decision-making. Centaurs are hybrid human-algorithm models that combine both formal analytics and human in…
  arxiv Soroush Saghafian, Lihi Idan 2024-06-16T13:44:41Z 置信度 0.78 cs.AIcs.LG
• User Trust on an Explainable AI-based Medical Diagnosis Support System
  Recent research has supported that system explainability improves user trust and willingness to use medical AI for diagnostic support. In this paper, we use chest disease diagnosis based on X-Ray images as a case study to investigate user trust and reliance. B…
  arxiv Yao Rong, Nora Castner, Efe Bozkir, Enkelejda Kasneci 2022-04-26T11:20:44Z 置信度 0.78 cs.HC
• Protoplanetary Disk Masses in the Young NGC 2024 Cluster
  We present the results from a Submillimeter Array survey of the 887 micron continuum emission from the protoplanetary disks around 95 young stars in the young cluster NGC 2024. Emission was detected from 22 infrared sources, with flux densities from ~5 to 330 …
  arxiv Rita K. Mann, Sean M. Andrews, Josh A. Eisner, Jonathan P. Williams 等 2015-01-26T18:28:49Z 置信度 0.78 astro-ph.SR
• The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings
  Effective meetings are effortful, but traditional videoconferencing systems offer little support for reducing this effort across the meeting lifecycle. Generative AI (GenAI) has the potential to radically redefine meetings by augmenting intentional meeting beh…
  arxiv Gun Woo Warren Park, Payod Panda, Lev Tankelevitch, Sean Rintel 2024-05-28T14:48:19Z 置信度 0.78 cs.HC
• When Copilot Becomes Autopilot: Generative AI's Critical Risk to Knowledge Work and a Critical Solution
  Generative AI, with its tendency to "hallucinate" incorrect results, may pose a risk to knowledge work by introducing errors. On the other hand, it may also provide unprecedented opportunities for users, particularly non-experts, to learn and apply advanced so…
  arxiv Advait Sarkar, Xiaotong, Xu, Neil Toronto 等 2024-12-19T16:40:41Z 置信度 0.78 cs.HC
• Questionnaire Responses Do not Capture the Safety of AI Agents
  As AI systems advance in capabilities, measuring their safety and alignment to human values is becoming paramount. A fast-growing field of AI research is devoted to developing such assessments. However, most current advances therein may be ill-suited for asses…
  arxiv Max Hellrigel-Holderbaum, Edward James Young 2026-03-15T15:01:09Z 置信度 0.78 cs.CYcs.AIcs.CLcs.LG
• Measuring Value Alignment
  As artificial intelligence (AI) systems become increasingly integrated into various domains, ensuring that they align with human values becomes critical. This paper introduces a novel formalism to quantify the alignment between AI systems and human values, usi…
  arxiv Fazl Barez, Philip Torr 2023-12-23T12:30:06Z 置信度 0.78 cs.AIcs.IR
• Can Structured Data Reduce Epistemic Uncertainty?
  In this work, we present a framework that utilizes ontology alignment to improve the learning process of deep learning models. With this approach we show that models fine-tuned using ontologies learn a downstream task at a higher rate with better performance o…
  arxiv Shriram M S, Sushmitha S, Gayathri K S, Shahina A 2024-10-14T23:38:51Z 置信度 0.78 cs.AI
• Exploring Human-AI Collaboration in Agile: Customised LLM Meeting Assistants
  This action research study focuses on the integration of "AI assistants" in two Agile software development meetings: the Daily Scrum and a feature refinement, a planning meeting that is part of an in-house Scaled Agile framework. We discuss the critical driver…
  arxiv Beatriz Cabrero-Daniel, Tomas Herda, Victoria Pichler, Martin Eder 2024-04-23T09:55:25Z 置信度 0.78 cs.SEcs.AIcs.HC
• First Field Trial of LLM-Powered AI Agent for Lifecycle Management of Autonomous Driving Optical Networks
  We design and demonstrate the first field trial of LLM-powered AI Agent for ADON. Three operation modes of the Agent are proposed for network lifecycle management. The Agent efficiently processes wavelength add/drop and soft/hard failures, and achieves compara…
  arxiv Xiaomin Liu, Qizhi Qiu, Yihao Zhang, Yuming Cheng 等 2024-09-22T21:52:58Z 置信度 0.78 eess.SY
• Scheduling Techniques of AI Models on Modern Heterogeneous Edge GPU -- A Critical Review
  In recent years, the development of specialized edge computing devices has significantly increased, driven by the growing demand for AI models. These devices, such as the NVIDIA Jetson series, must efficiently handle increased data processing and storage requi…
  arxiv Ashiyana Abdul Majeed, Mahmoud Meribout, Safa Mohammed Sali 2025-06-02T07:11:10Z 置信度 0.78 cs.DCcs.AR
• ASTELD: A Six-Axis Classification Framework for Autonomous AI Agents - Design, Evaluation, and an OpenClaw Case Study
  Autonomous AI agent platforms differ substantially in architecture, security, tool integration, execution, autonomy, and deployment, yet the field lacks a common classification scheme for comparing these design choices. We propose ASTELD, an operational six-ax…
  arxiv Siyuan Li, Peng Shu, Churan Yu, Peilong Wang 等 2026-08-05T05:05:20Z 置信度 0.78 cs.CRcs.AI
• AI Readiness in Healthcare through Storytelling XAI
  Artificial Intelligence is rapidly advancing and radically impacting everyday life, driven by the increasing availability of computing power. Despite this trend, the adoption of AI in real-world healthcare is still limited. One of the main reasons is the trust…
  arxiv Akshat Dubey, Zewen Yang, Georges Hattab 2024-10-24T13:30:18Z 置信度 0.78 cs.AI
• A Taxonomy of Errors in English as she is spoke: Toward an AI-Based Method of Error Analysis for EFL Writing Instruction
  This study describes the development of an AI-assisted error analysis system designed to identify, categorize, and correct writing errors in English. Utilizing Large Language Models (LLMs) like Claude 3.5 Sonnet and DeepSeek R1, the system employs a detailed t…
  arxiv Damian Heywood, Joseph Andrew Carrier, Kyu-Hong Hwang 2025-11-29T08:45:00Z 置信度 0.78 cs.CL
• DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment
  Recent research demonstrates the effectiveness of using pre-trained language models for legal case retrieval. Most of the existing works focus on improving the representation ability for the contextualized embedding of the [CLS] token and calculate relevance u…
  arxiv Haitao Li, Qingyao Ai, Xinyan Han, Jia Chen 等 2024-03-27T10:40:14Z 置信度 0.78 cs.IRcs.CL
• BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment
  Direct alignment from preferences (DAP) has emerged as a promising paradigm for aligning large language models (LLMs) to human desiderata from pre-collected, offline preference datasets. While recent studies indicate that existing offline DAP methods can direc…
  arxiv Wenda Xu, Jiachen Li, William Yang Wang, Lei Li 2024-06-18T00:41:40Z 置信度 0.78 cs.LGcs.AIcs.CL
• Apache Point rapid response characterization of primitive imminent impactor 2024 RW$_1$
  Imminent impactors may be detected only a few hours before their impact with Earth, providing a brief opportunity to characterize them before impact. We describe the characterization of imminent impactor 2024 RW$_1$, which was discovered by the Catalina Sky Su…
  arxiv Carl Ingebretsen, Bryce T. Bolin, Robert Jedicke, Peter Vereš 等 2025-05-29T17:57:47Z 置信度 0.78 astro-ph.EPastro-ph.IM
• An Integrated Communication and Computing Scheme for Wi-Fi Networks based on Generative AI and Reinforcement Learning
  The continuous evolution of future mobile communication systems is heading towards the integration of communication and computing, with Mobile Edge Computing (MEC) emerging as a crucial means of implementing Artificial Intelligence (AI) computation. MEC could …
  arxiv Xinyang Du, Xuming Fang 2024-04-21T09:35:49Z 置信度 0.78 cs.NIeess.SP
• Positive AI: Key Challenges in Designing Artificial Intelligence for Wellbeing
  Artificial Intelligence (AI) is a double-edged sword: on one hand, AI promises to provide great advances that could benefit humanity, but on the other hand, AI poses substantial (even existential) risks. With advancements happening daily, many people are incre…
  arxiv Willem van der Maden, Derek Lomas, Malak Sadek, Paul Hekkert 2023-04-12T12:43:00Z 置信度 0.78 cs.CYcs.AI
• A Framework for Effective AI Recommendations in Cyber-Physical-Human Systems
  Many cyber-physical-human systems (CPHS) involve a human decision-maker who may receive recommendations from an artificial intelligence (AI) platform while holding the ultimate responsibility of making decisions. In such CPHS applications, the human decision-m…
  arxiv Aditya Dave, Heeseung Bang, Andreas A. Malikopoulos 2024-03-08T23:02:20Z 置信度 0.78 eess.SYcs.AIcs.HCcs.LG
• Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards
  Compound AI systems integrating multiple components, such as Large Language Models, specialized tools, and traditional machine learning models, are increasingly deployed to solve complex real-world tasks. However, optimizing compound systems remains challengin…
  arxiv Shirley Wu, Parth Sarthi, Shiyu Zhao, Aaron Lee 等 2025-07-03T07:12:48Z 置信度 0.78 cs.LGcs.AI
• Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI
  This paper explores expert accounts of autonomous systems (AS) development in the medical device domain (MD) involving applications of artificial intelligence (AI), machine learning (ML), and other algorithmic and mathematical modelling techniques. We frame ou…
  arxiv Glenn McGarry, Andy Crabtree, Lachlan Urquhart, Alan Chamberlain 2024-08-05T11:22:11Z 置信度 0.78 cs.HC
• Conversational Alignment with Artificial Intelligence in Context
  The development of sophisticated artificial intelligence (AI) conversational agents based on large language models raises important questions about the relationship between human norms, values, and practices and AI design and performance. This article explores…
  arxiv Rachel Katharine Sterken, James Ravi Kirkpatrick 2025-05-28T22:14:34Z 置信度 0.78 cs.CYcs.CL
• Security practices in AI development
  What makes safety claims about general purpose AI systems such as large language models trustworthy? We show that rather than the capabilities of security tools such as alignment and red teaming procedures, it is security practices based on these tools that co…
  arxiv Petr Spelda, Vit Stritecky 2025-05-17T14:24:15Z 置信度 0.78 cs.CRcs.CY
• The pre-eruption state of T CrB as observed with ALMA in 2024
  T CrB is a nearby symbiotic binary and a recurrent nova with a period of ca. 80 years. The next eruption is expected to take place in 2025 or 2026. We present our pre-eruption observations made in ALMA frequency Bands 1, 3, 4, 6, 7, and 8 in August to November…
  arxiv D. Petry, G. Sala, I. El Mellah, T. Stanke 等 2025-09-05T13:47:55Z 置信度 0.78 astro-ph.SRastro-ph.HE
• Beyond Two-stage Diffusion TTS: Joint Structure and Content Refinement via Jump Diffusion
  Diffusion and flow matching TTS faces a tension between discrete temporal structure and continuous spectral modeling. Two-stage models diffuse on fixed alignments, often collapsing to mean prosody; single-stage models avoid explicit durations but suffer alignm…
  arxiv Jiabao Ai, Minghui Zhao, Anton Ragni 2026-03-14T17:13:17Z 置信度 0.78 eess.AS
• Machine Learning for ALSFRS-R Score Prediction: Making Sense of the Sensor Data
  Amyotrophic Lateral Sclerosis (ALS) is characterized as a rapidly progressive neurodegenerative disease that presents individuals with limited treatment options in the realm of medical interventions and therapies. The disease showcases a diverse range of onset…
  arxiv Ritesh Mehta, Aleksandar Pramov, Shashank Verma 2024-07-10T19:17:23Z 置信度 0.78 cs.LGcs.AI
• Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models
  Advances in language modeling have paved the way for novel human-AI co-writing experiences. This paper explores how varying levels of scaffolding from large language models (LLMs) shape the co-writing process. Employing a within-subjects field experiment with …
  arxiv Paramveer S. Dhillon, Somayeh Molaei, Jiaqi Li, Maximilian Golub 等 2024-02-18T22:27:42Z 置信度 0.78 cs.HCcs.CL
• SambaNova SN40L: Scaling the AI Memory Wall with Dataflow and Composition of Experts
  Monolithic large language models (LLMs) like GPT-4 have paved the way for modern generative AI applications. Training, serving, and maintaining monolithic LLMs at scale, however, remains prohibitively expensive and challenging. The disproportionate increase in…
  arxiv Raghu Prabhakar, Ram Sivaramakrishnan, Darshan Gandhi, Yun Du 等 2024-05-13T07:32:45Z 置信度 0.78 cs.ARcs.AI
• SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation
  Robot learning has proven to be a general and effective technique for programming manipulators. Imitation learning is able to teach robots solely from human demonstrations but is bottlenecked by the capabilities of the demonstrations. Reinforcement learning us…
  arxiv Zihan Zhou, Animesh Garg, Dieter Fox, Caelan Garrett 等 2024-10-23T17:42:07Z 置信度 0.78 cs.ROcs.AIcs.CVcs.LG
• Climatic & Anthropogenic Hazards to the Nasca World Heritage: Application of Remote Sensing, AI, and Flood Modelling
  Preservation of the Nasca geoglyphs at the UNESCO World Heritage Site in Peru is urgent as natural and human impact accelerates. More frequent weather extremes such as flashfloods threaten Nasca artifacts. We demonstrate that runoff models based on (sub-)meter…
  arxiv Masato Sakai, Marcus Freitag, Akihisa Sakurai, Conrad M Albrecht 等 2024-05-20T06:21:15Z 置信度 0.78 cs.CVcs.AIcs.CY
• Magnitude and Rotation Invariant Detection of Transportation Modes with Missing Data Modalities
  This work presents the solution of the Signal Sleuths team for the 2024 SHL recognition challenge. The challenge involves detecting transportation modes using shuffled, non-overlapping 5-second windows of phone movement data, with exactly one of the three avai…
  arxiv Jeroen Van Der Donckt, Jonas Van Der Donckt, Sofie Van Hoecke 2024-07-08T13:42:01Z 置信度 0.78 cs.LGcs.AI
• It Takes Two: Accurate Gait Recognition in the Wild via Cross-granularity Alignment
  Existing studies for gait recognition primarily utilized sequences of either binary silhouette or human parsing to encode the shapes and dynamics of persons during walking. Silhouettes exhibit accurate segmentation quality and robustness to environmental varia…
  arxiv Jinkai Zheng, Xinchen Liu, Boyue Zhang, Chenggang Yan 等 2024-11-16T08:54:27Z 置信度 0.78 cs.CV
• AI-Generated Faces in the Real World: A Large-Scale Case Study of Twitter Profile Images
  Recent advances in the field of generative artificial intelligence (AI) have blurred the lines between authentic and machine-generated content, making it almost impossible for humans to distinguish between such media. One notable consequence is the use of AI-g…
  arxiv Jonas Ricker, Dennis Assenmacher, Thorsten Holz, Asja Fischer 等 2024-04-22T14:57:17Z 置信度 0.78 cs.CRcs.AIcs.CYcs.LGcs.SI
• Sleeper Social Bots: a new generation of AI disinformation bots are already a political threat
  This paper presents a study on the growing threat of "sleeper social bots," AI-driven social bots in the political landscape, created to spread disinformation and manipulate public opinion. We based the name sleeper social bots on their ability to pass as huma…
  arxiv Jaiv Doshi, Ines Novacic, Curtis Fletcher, Mats Borges 等 2024-08-07T19:57:10Z 置信度 0.78 cs.CYcs.AI
• HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
  Large Language Models (LLMs) face limitations in AI legal and policy applications due to outdated knowledge, hallucinations, and poor reasoning in complex contexts. Retrieval-Augmented Generation (RAG) systems address these issues by incorporating external kno…
  arxiv Rishi Kalra, Zekun Wu, Ayesha Gulley, Airlie Hilliard 等 2024-08-29T16:11:20Z 置信度 0.78 cs.IRcs.AIcs.LG
• AgentSOC: A Multi-Layer Agentic AI Framework for Security Operations Automation
  Security Operations Centers (SOCs) increasingly encounter difficulties in correlating heterogeneous alerts, interpreting multi-stage attack progressions, and selecting safe and effective response actions. This study introduces AgentSOC, a multi-layered agentic…
  arxiv Joyjit Roy, Samaresh Kumar Singh 2026-04-22T03:01:03Z 置信度 0.78 cs.CRcs.AIcs.CL
• Joint Identity Verification and Pose Alignment for Partial Fingerprints
  Currently, portable electronic devices are becoming more and more popular. For lightweight considerations, their fingerprint recognition modules usually use limited-size sensors. However, partial fingerprints have few matchable features, especially when there …
  arxiv Xiongjun Guan, Zhiyu Pan, Jianjiang Feng, Jie Zhou 2024-05-07T02:45:50Z 置信度 0.78 cs.CV
• Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
  Recent advancements have shown promise in applying traditional Semi-Supervised Learning strategies to the task of Generalized Category Discovery (GCD). Typically, this involves a teacher-student framework in which the teacher imparts knowledge to the student t…
  arxiv Haonan Lin, Wenbin An, Jiahao Wang, Yan Chen 等 2024-09-29T11:12:03Z 置信度 0.78 cs.CV
• The Decision Path to Control AI Risks Completely: Fundamental Control Mechanisms for AI Governance
  Artificial intelligence (AI) advances rapidly but achieving complete human control over AI risks remains an unsolved problem, akin to driving the fast AI "train" without a "brake system." By exploring fundamental control mechanisms at key elements of AI decisi…
  arxiv Yong Tao 2025-12-04T05:53:41Z 置信度 0.78 cs.CY
• Quantifying Scalar Field Dynamics with DESI 2024 Y1 BAO measurements
  Quintessence scalar fields are a natural candidate for evolving dark energy. Unlike the phenomenological $w_0w_a$ parameterization of the dark energy equation of state, they cannot accommodate the phantom regime of dark energy $w(z) < -1$, or crossings into…
  arxiv Kim V. Berghaus, Joshua A. Kable, Vivian Miranda 2024-04-22T16:58:05Z 置信度 0.78 astro-ph.COhep-ph
• Who Wins Ethereum Block Building Auctions and Why?
  The MEV-Boost block auction contributes approximately 90% of all Ethereum blocks. Between October 2023 and March 2024, only three builders produced 80% of them, highlighting the concentration of power within the block builder market. To foster competition and …
  arxiv Burak Öz, Danning Sui, Thomas Thiery, Florian Matthes 2024-07-18T22:49:37Z 置信度 0.78 cs.CEcs.CR
• Identification of the ionizing source of NGC 2024
  We propose the late-O, early-B star IRS2b as the ionizing source of the Flame Nebula (NGC 2024). It has been clear that such a hot, massive star must be present in this heavily obscured region, and now it has been identified. New near-infrared photometry shows…
  arxiv A. Bik, A. Lenorzer, L. Kaper, F. Comerón 等 2003-03-03T11:40:23Z 置信度 0.78 astro-ph
• Fundamental Mathematics in the Age of AI -- The Residue, the Journey, and the Ecology
  Large language models have begun refuting long-standing conjectures and solving long-open problems. The introspection this has prompted about the future of mathematical discovery is well under way, and the anxiety accompanying it legitimate -- but both, we cla…
  arxiv Benjamin Collas 2026-08-13T04:46:19Z 置信度 0.78 math.HOcs.CY
• Context is Key(NMF): Modelling Topical Information Dynamics in Chinese Diaspora Media
  Does the People's Republic of China (PRC) interfere with European elections through ethnic Chinese diaspora media? This question forms the basis of an ongoing research project exploring how PRC narratives about European elections are represented in Chinese dia…
  arxiv Ross Deans Kristensen-McLachlan, Rebecca M. M. Hicke, Márton Kardos, Mette Thunø 2024-10-16T17:59:52Z 置信度 0.78 cs.CL
• Visual Compositional Data Analytics for Spatial Transcriptomics
  For the Bio+Med-Vis Challenge 2024, we propose a visual analytics system as a redesign for the scatter pie chart visualization of cell type proportions of spatial transcriptomics data. Our design uses three linked views: a view of the histological image of the…
  arxiv David Hägele, Yuxuan Tang, Daniel Weiskopf 2024-09-11T14:36:03Z 置信度 0.78 cs.HC
• Shots and Boosters: Exploring the Use of Combined Prebunking Interventions to Raise Critical Thinking and Create Long-Term Protection Against Misinformation
  The problem of how to effectively mitigate the flow of misinformation remains a significant challenge. The classical approach to this is public disapproval of claims or "debunking." The approach is still widely used on social media, but it has some severe limi…
  arxiv Huiyun Tang, Anastasia Sergeeva 2025-05-12T12:19:31Z 置信度 0.78 cs.HC
• Navigating AI Policy Landscapes: Insights into Human Rights Considerations Across IEEE Regions
  This paper explores the integration of human rights considerations into AI regulatory frameworks across different IEEE regions - specifically the United States (Region 1-6), Europe (Region 8), China (part of Region 10), and Singapore (part of Region 10). While…
  arxiv Angel Mary John, Jerrin Thomas Panachakel, Anusha S. P 2025-04-27T14:44:42Z 置信度 0.78 cs.CYcs.LG
• Bare Minimum Mitigations for Autonomous AI Development
  Artificial intelligence (AI) is advancing rapidly, with the potential for significantly automating AI research and development itself in the near future. In 2024, international scientists, including Turing Award recipients, warned of risks from autonomous AI r…
  arxiv Joshua Clymer, Isabella Duan, Chris Cundy, Yawen Duan 等 2025-04-21T20:01:17Z 置信度 0.78 cs.CY
• The economic alignment problem of artificial intelligence
  Artificial intelligence (AI) is advancing exponentially and is likely to have profound impacts on human wellbeing, social equity, and environmental sustainability. Here we argue that the "alignment problem" in AI research is also an economic alignment problem,…
  arxiv Daniel W. O'Neill, Stefano Vrizzi, Noemi Luna Carmeno, Felix Creutzig 等 2026-02-25T12:22:46Z 置信度 0.78 econ.GNcs.CY
• Agent Alignment in Evolving Social Norms
  Agents based on Large Language Models (LLMs) are increasingly permeating various domains of human production and life, highlighting the importance of aligning them with human values. The current alignment of AI systems primarily focuses on passively aligning L…
  arxiv Shimin Li, Tianxiang Sun, Qinyuan Cheng, Xipeng Qiu 2024-01-09T15:44:44Z 置信度 0.78 cs.CLcs.AI
• Four Giant Planets from 2024 KMTNet Microlensing Campaign
  In this work, we present analyses of four newly discovered planetary microlensing events from the 2024 KMTNet survey season: KMT-2024-BLG-0176, KMT-2024-BLG-0349, KMT-2024-BLG-1870, and KMT-2024-BLG-2087. In each case, the planetary nature was revealed through…
  arxiv Cheongho Han, Andrzej Udalski, Ian A. Bond, Chung-Uk Lee 等 2025-12-10T05:22:22Z 置信度 0.78 astro-ph.EPastro-ph.GA
• ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering
  Neurosymbolic approaches can add robustness to opaque neural systems by incorporating explainable symbolic representations. However, previous approaches have not used formal logic to contextualize queries to and validate outputs of large language models (LLMs)…
  arxiv Priyesh Vakharia, Abigail Kufeldt, Max Meyers, Ian Lane 等 2024-09-17T22:34:33Z 置信度 0.78 cs.CLcs.AI
• Debug Smarter, Not Harder: AI Agents for Error Resolution in Computational Notebooks
  Computational notebooks became indispensable tools for research-related development, offering unprecedented interactivity and flexibility in the development process. However, these benefits come at the cost of reproducibility and an increased potential for bug…
  arxiv Konstantin Grotov, Artem Borzilov, Maksim Krivobok, Timofey Bryksin 等 2024-10-18T11:55:34Z 置信度 0.78 cs.LGcs.AI
• Less is More: Improving LLM Alignment via Preference Data Selection
  Direct Preference Optimization (DPO) has emerged as a promising approach for aligning large language models with human preferences. While prior work mainly extends DPO from the aspect of the objective function, we instead improve DPO from the largely overlooke…
  arxiv Xun Deng, Han Zhong, Rui Ai, Fuli Feng 等 2025-02-20T13:45:17Z 置信度 0.78 cs.LGcs.AIcs.CL
• Build Your Own Robot Friend: An Open-Source Learning Module for Accessible and Engaging AI Education
  As artificial intelligence (AI) is playing an increasingly important role in our society and global economy, AI education and literacy have become necessary components in college and K-12 education to prepare students for an AI-powered society. However, curren…
  arxiv Zhonghao Shi, Allison O'Connell, Zongjian Li, Siqi Liu 等 2024-01-06T08:03:08Z 置信度 0.78 cs.CYcs.AIcs.HCcs.LGcs.RO
• LLaSA: Large Language and E-Commerce Shopping Assistant
  The e-commerce platform has evolved rapidly due to its widespread popularity and convenience. Developing an e-commerce shopping assistant for customers is crucial to aiding them in quickly finding desired products and recommending precisely what they need. How…
  arxiv Shuo Zhang, Boci Peng, Xinping Zhao, Boren Hu 等 2024-08-04T12:10:51Z 置信度 0.78 cs.CL
• End-User Development for Human-Robot Interaction
  End-user development (EUD) represents a key step towards making robotics accessible for experts and nonexperts alike. Within academia, researchers investigate novel ways that EUD tools can capture, represent, visualize, analyze, and test developer intent. At t…
  arxiv Laura Stegner, David Porfirio, Laura M. Hiatt, Séverin Lemaignan 等 2024-02-27T20:32:28Z 置信度 0.78 cs.ROcs.HC
• Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models
  Automated speaker identification (SID) is a crucial step for the personalization of a wide range of speech-enabled services. Typical SID systems use a symmetric enrollment-verification framework with a single model to derive embeddings both offline for voice p…
  arxiv Chenyang Gao, Brecht Desplanques, Chelsea J. -T. Ju, Aman Chadha 等 2024-01-23T02:19:31Z 置信度 0.78 eess.AScs.LGcs.SD
• Matching domain experts by training from scratch on domain knowledge
  Recently, large language models (LLMs) have outperformed human experts in predicting the results of neuroscience experiments (Luo et al., 2024). What is the basis for this performance? One possibility is that statistical patterns in that specific scientific li…
  arxiv Xiaoliang Luo, Guangzhi Sun, Bradley C. Love 2024-05-15T14:50:51Z 置信度 0.78 q-bio.NCcs.AIcs.CL
• Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models
  It has recently been discovered that using a pre-trained vision-language model (VLM), e.g., CLIP, to align a whole query image with several finer text descriptions generated by a large language model can significantly enhance zero-shot performance. However, in…
  arxiv Jinhao Li, Haopeng Li, Sarah Erfani, Lei Feng 等 2024-06-05T04:08:41Z 置信度 0.78 cs.CVcs.LG
• Characteristic AI Agents via Large Language Models
  The advancement of Large Language Models (LLMs) has led to significant enhancements in the performance of chatbot systems. Many researchers have dedicated their efforts to the development of bringing characteristics to chatbots. While there have been commercia…
  arxiv Xi Wang, Hongliang Dai, Shen Gao, Piji Li 2024-03-19T02:25:29Z 置信度 0.78 cs.CLcs.AI
• AI Virtue: What is "Good" Knowledge in the Age of Artificial Intelligence?
  In the age of AI, what will be good knowledge? This article, which is accepted and forthcoming in a special issue of Modern Fiction Studies on "Cultural AI" in 2027, applies digital humanities methods to map epistemic virtues (like "true," "accurate," "creativ…
  arxiv Alan Liu 2026-07-02T06:46:02Z 置信度 0.78 cs.CYcs.AI
• Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation
  The use of AI in healthcare has the potential to improve patient care, optimize clinical workflows, and enhance decision-making. However, bias, data incompleteness, and inaccuracies in training datasets can lead to unfair outcomes and amplify existing disparit…
  arxiv Marjia Siddik, Harshvardhan J. Pandit 2025-01-09T23:36:34Z 置信度 0.78 cs.CYcs.DL
• Benchmarking Defeasible Reasoning with Large Language Models -- Initial Experiments and Future Directions
  Large Language Models (LLMs) have gained prominence in the AI landscape due to their exceptional performance. Thus, it is essential to gain a better understanding of their capabilities and limitations, among others in terms of nonmonotonic reasoning. This pape…
  arxiv Ilias Tachmazidis, Sotiris Batsakis, Grigoris Antoniou 2024-10-16T12:36:23Z 置信度 0.78 cs.AI
• The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication
  Natural language has the universal properties of being compositional and grounded in reality. The emergence of linguistic properties is often investigated through simulations of emergent communication in referential games. However, these experiments have yield…
  arxiv Tom Kouwenhoven, Max Peeperkorn, Bram van Dijk, Tessa Verhoef 2024-07-25T11:29:27Z 置信度 0.78 cs.CL
• Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities
  Background: This work investigates the presence of implicit bias in Large Language Model (LLM)-based chat AI models directed toward people with intellectual disabilities (ID). Objective: The study aims to identify and measure representational differences relat…
  arxiv Karly V. Coffey, Gloria L. Krahn, John P. Hanley, Jacob E. Neely 2026-06-16T20:30:06Z 置信度 0.78 cs.CYcs.AIcs.CL
• Grammar-Aligned Decoding
  Large Language Models (LLMs) struggle with reliably generating highly structured outputs, such as program code, mathematical formulas, or well-formed markup. Constrained decoding approaches mitigate this problem by greedily restricting what tokens an LLM can o…
  arxiv Kanghee Park, Jiayu Wang, Taylor Berg-Kirkpatrick, Nadia Polikarpova 等 2024-05-31T17:39:15Z 置信度 0.78 cs.AIcs.CLcs.LG
• CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
  Traditional recommender systems such as matrix factorization methods have primarily focused on learning a shared dense embedding space to represent both items and user preferences. Subsequently, sequence models such as RNN, GRUs, and, recently, Transformers ha…
  arxiv Yaoyiran Li, Xiang Zhai, Moustafa Alzantot, Keyi Yu 等 2024-05-03T18:51:19Z 置信度 0.78 cs.IRcs.AIcs.CLcs.LG
• An analysis of parameter compression and full-modeling techniques with Velocileptors for DESI 2024 and beyond
  In anticipation of forthcoming data releases of current and future spectroscopic surveys, we present the validation tests and analysis of systematic effects within \texttt{velocileptors} modeling pipeline when fitting mock data from the \texttt{AbacusSummit} N…
  arxiv M. Maus, S. Chen, M. White, J. Aguilar 等 2024-04-10T19:21:33Z 置信度 0.78 astro-ph.CO
• How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions
  Artificial intelligence (AI) permeates all fields of life, which resulted in new challenges in requirements engineering for artificial intelligence (RE4AI), e.g., the difficulty in specifying and validating requirements for AI or considering new quality requir…
  arxiv Umm-e- Habiba, Markus Haug, Justus Bogner, Stefan Wagner 2024-09-11T11:28:16Z 置信度 0.78 cs.SEcs.AI
• Proplyds in the Flame Nebula NGC 2024
  A recent survey of the inner $0.35\times0.35$pc of the NGC 2024 star forming region revealed two distinct millimetre continuum disc populations that appear to be spatially segregated by the boundary of a dense cloud. The eastern (and more embedded) population …
  arxiv Thomas J. Haworth, Jinyoung S. Kim, Andrew J. Winter, Dean C. Hines 等 2020-12-16T19:00:00Z 置信度 0.78 astro-ph.SRastro-ph.EPastro-ph.GA
• NAIST-SIC-Aligned: an Aligned English-Japanese Simultaneous Interpretation Corpus
  It remains a question that how simultaneous interpretation (SI) data affects simultaneous machine translation (SiMT). Research has been limited due to the lack of a large-scale training corpus. In this work, we aim to fill in the gap by introducing NAIST-SIC-A…
  arxiv Jinming Zhao, Yuka Ko, Kosuke Doi, Ryo Fukuda 等 2023-04-23T23:03:58Z 置信度 0.78 cs.CL
• sPHENIX Highlights: First Results from sPHENIX at RHIC
  First results from the sPHENIX experiment on the $π^0$ ${\rm v_{_{2}}}$ and $dE_T/dη$ in Au+Au collisions at $\sqrt{s_{_{NN}}}$ = 200 GeV using detector commissioning data during the RHIC 2023 Run are presented. These results are shown across a large centralit…
  arxiv Rachid Nouicer 2024-10-23T17:02:58Z 置信度 0.78 nucl-ex
• TrimCaching: Parameter-sharing AI Model Caching in Wireless Edge Networks
  Next-generation mobile networks are expected to facilitate fast AI model downloading to end users. By caching models on edge servers, mobile networks can deliver models to end users with low latency, resulting in a paradigm called edge model caching. In this p…
  arxiv Guanqiao Qu, Zheng Lin, Fangming Liu, Xianhao Chen 等 2024-05-07T04:08:49Z 置信度 0.78 cs.NIcs.AI
• How Alignment Routes: Localizing, Scaling, and Controlling Policy Circuits in Language Models
  We localize the policy routing mechanism in alignment-trained language models. An intermediate-layer attention gate reads detected content and triggers deeper amplifier heads that boost the signal toward refusal. In smaller models the gate and amplifier are si…
  arxiv Gregory N. Frank 2026-04-06T03:20:37Z 置信度 0.78 cs.CLcs.AIcs.LG
• Ethical Implications of AI in Data Collection: Balancing Innovation with Privacy
  This article examines the ethical and legal implications of artificial intelligence (AI) driven data collection, focusing on developments from 2023 to 2024. It analyzes recent advancements in AI technologies and their impact on data collection practices across…
  arxiv Shahmar Mirishli 2025-03-17T14:15:59Z 置信度 0.78 cs.CYcs.HC
• Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding
  Recent vision-language pre-training models have exhibited remarkable generalization ability in zero-shot recognition tasks. Previous open-vocabulary 3D scene understanding methods mostly focus on training 3D models using either image or text supervision while …
  arxiv Ruihuang Li, Zhengqiang Zhang, Chenhang He, Zhiyuan Ma 等 2024-07-13T05:39:17Z 置信度 0.78 cs.CV
• Quantum-Classical Sentiment Analysis
  In this study, we initially investigate the application of a hybrid classical-quantum classifier (HCQC) for sentiment analysis, comparing its performance against the classical CPLEX classifier and the Transformer architecture. Our findings indicate that while …
  arxiv Mario Bifulco, Luca Roversi 2024-09-25T13:40:19Z 置信度 0.78 cs.AI
• Instruction-tuning Aligns LLMs to the Human Brain
  Instruction-tuning is a widely adopted finetuning method that enables large language models (LLMs) to generate output that more closely resembles human responses. However, no studies have shown that instruction-tuning actually teaches LLMs to process language …
  arxiv Khai Loong Aw, Syrielle Montariol, Badr AlKhamissi, Martin Schrimpf 等 2023-12-01T13:31:02Z 置信度 0.78 cs.CL
• Learning With Generalised Card Representations for "Magic: The Gathering"
  A defining feature of collectable card games is the deck building process prior to actual gameplay, in which players form their decks according to some restrictions. Learning to build decks is difficult for players and models alike due to the large card variet…
  arxiv Timo Bertram, Johannes Fürnkranz, Martin Müller 2024-07-08T12:42:44Z 置信度 0.78 cs.AI
• The AI Legal Specialist: A Juridically Autonomous Professional Profile for AI Governance
  The rapid global expansion of artificial intelligence regulation has generated, across multiple jurisdictions, a demand for legal expertise dedicated to AI that the market has addressed in a fragmented manner. Data protection officers extend their remit beyond…
  arxiv Nicola Fabiano 2026-05-07T05:59:13Z 置信度 0.78 cs.CYcs.AI
• WalkTheDog: Cross-Morphology Motion Alignment via Phase Manifolds
  We present a new approach for understanding the periodicity structure and semantics of motion datasets, independently of the morphology and skeletal structure of characters. Unlike existing methods using an overly sparse high-dimensional latent, we propose a p…
  arxiv Peizhuo Li, Sebastian Starke, Yuting Ye, Olga Sorkine-Hornung 2024-07-11T09:31:05Z 置信度 0.78 cs.CVcs.GR
• On Evaluating and Comparing Open Domain Dialog Systems
  Conversational agents are exploding in popularity. However, much work remains in the area of non goal-oriented conversations, despite significant growth in research interest over recent years. To advance the state of the art in conversational AI, Amazon launch…
  arxiv Anu Venkatesh, Chandra Khatri, Ashwin Ram, Fenfei Guo 等 2018-01-11T03:30:00Z 置信度 0.78 cs.CLcs.AIcs.CYcs.HCcs.MA
• Towards Trustworthy AI Software Development Assistance
  It is expected that in the near future, AI software development assistants will play an important role in the software industry. However, current software development assistants tend to be unreliable, often producing incorrect, unsafe, or low-quality code. We …
  arxiv Daniel Maninger, Krishna Narasimhan, Mira Mezini 2023-12-14T16:59:49Z 置信度 0.78 cs.SEcs.LG
• Preference Alignment with Flow Matching
  We present Preference Flow Matching (PFM), a new framework for preference-based reinforcement learning (PbRL) that streamlines the integration of preferences into an arbitrary class of pre-trained models. Existing PbRL methods require fine-tuning pre-trained m…
  arxiv Minu Kim, Yongsik Lee, Sehyeok Kang, Jihwan Oh 等 2024-05-30T08:16:22Z 置信度 0.78 cs.LG
• An Affective-Taxis Hypothesis for Alignment and Interpretability
  AI alignment is a field of research that aims to develop methods to ensure that agents always behave in a manner aligned with (i.e. consistently with) the goals and values of their human operators, no matter their level of capability. This paper proposes an af…
  arxiv Eli Sennesh, Maxwell Ramstead 2025-05-03T04:49:01Z 置信度 0.78 cs.AIq-bio.NC
• Response by the Montreal AI Ethics Institute to the European Commission's Whitepaper on AI
  In February 2020, the European Commission (EC) published a white paper entitled, On Artificial Intelligence - A European approach to excellence and trust. This paper outlines the EC's policy options for the promotion and adoption of artificial intelligence (AI…
  arxiv Abhishek Gupta, Camylle Lanteigne 2020-06-16T18:16:51Z 置信度 0.78 cs.CYcs.AIcs.LG
• MetaCheckGPT -- A Multi-task Hallucination Detector Using LLM Uncertainty and Meta-models
  Hallucinations in large language models (LLMs) have recently become a significant problem. A recent effort in this direction is a shared task at Semeval 2024 Task 6, SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes. This p…
  arxiv Rahul Mehta, Andrew Hoblitzell, Jack O'Keefe, Hyeju Jang 等 2024-04-10T11:56:01Z 置信度 0.78 cs.CLcs.AI
• Aligned Yet Large Dipoles: a SMEFT Study
  We study a non-universal flavor scenario at the level of the Standard Model Effective Field Theory, according to which the matrix of Wilson coefficients $c_{uW}$ of an up-type electroweak quark dipole operator is aligned with the up-type Yukawa coupling. Such …
  arxiv Quentin Bonnefoy, Jonathan Kley, Di Liu, Alejo N. Rossia 等 2024-03-19T18:03:28Z 置信度 0.78 hep-phhep-th
• Understanding the Security Benefits and Overheads of Emerging Industry Solutions to DRAM Read Disturbance
  We present the first rigorous security, performance, energy, and cost analyses of the state-of-the-art on-DRAM-die read disturbance mitigation method, Per Row Activation Counting (PRAC), described in JEDEC DDR5 specification's April 2024 update. Unlike prior s…
  arxiv Oğuzhan Canpolat, A. Giray Yağlıkçı, Geraldo F. Oliveira, Ataberk Olgun 等 2024-06-27T11:22:46Z 置信度 0.78 cs.CRcs.AR
• Manipulating OpenFlow Link Discovery Packet Forwarding for Topology Poisoning
  Software-defined networking (SDN) is a centralized, dynamic, and programmable network management technology that enables flexible traffic control and scalability. SDN facilitates network administration through a centralized view of the underlying physical topo…
  arxiv Mingming Chen, Thomas La Porta, Teryl Taylor, Frederico Araujo 等 2024-08-29T23:30:36Z 置信度 0.78 cs.CRcs.NI
• The Concept of Criticality in AI Safety
  When AI agents don't align their actions with human values they may cause serious harm. One way to solve the value alignment problem is by including a human operator who monitors all of the agent's actions. Despite the fact, that this solution guarantees maxim…
  arxiv Yitzhak Spielberg, Amos Azaria 2022-01-12T17:44:22Z 置信度 0.78 cs.HCcs.AI
• Securing the Agent: Vendor-Neutral, Multitenant Enterprise Retrieval and Tool Use
  Retrieval-Augmented Generation (RAG) and agentic AI systems are increasingly prevalent in enterprise AI deployments. However, real enterprise environments introduce challenges largely absent from academic treatments and consumer-facing APIs: multiple tenants w…
  arxiv Francisco Javier Arceo, Varsha Prasad Narsing 2026-05-06T17:59:21Z 置信度 0.78 cs.CRcs.AIcs.IRcs.SE
• The Hidden Cost of Contextual Sycophancy: an AI Literacy Intervention in Human-AI Collaboration
  Large Language Models (LLMs) are increasingly used in educational settings as interactive tools for collaboration. However, their tendency toward sycophancy, aligning with user beliefs even when incorrect, raises concerns for learning and decision-making, espe…
  arxiv Cansu Koyuturk, Sabrina Guidotti, Dimitri Ognibene 2026-05-18T13:20:45Z 置信度 0.78 cs.HCcs.AIcs.CYcs.ET
• AI and Identity
  AI-empowered technologies' impact on the world is undeniable, reshaping industries, revolutionizing how humans interact with technology, transforming educational paradigms, and redefining social codes. However, this rapid growth is accompanied by two notable c…
  arxiv Sri Yash Tadimalla, Mary Lou Maher 2024-02-29T15:07:30Z 置信度 0.78 cs.CYcs.AIcs.HC
• The Essentials of AI for Life and Society: An AI Literacy Course for the University Community
  We describe the development of a one-credit course to promote AI literacy at the University of Texas at Austin. In response to a call for the rapid deployment of class that would serve a broad audience in Fall of 2023, we designed a 14-week seminar-style cours…
  openalex Joydeep Biswas, Don Fussell, Peter Stone, Kristin Patterson 等 2025-04-11 置信度 0.72 Course (navigation)Life course approachLiteracyMathematics educationPsychology
• Using AI to assess corporate climate transition disclosures
  Abstract Company transition plans toward a low-carbon economy are key for effective capital allocation and risk management. This paper proposes a set of 64 indicators to comprehensively assess transition plans and develops a Large Language Model-based tool to …
  openalex Chiara Colesanti Senni, Tobias Schimanski, Julia Bingler, Jingwei Ni 等 2024-12-12 置信度 0.72 GreenwashingScrutinySustainabilitySet (abstract data type)Transition (genetics)
• Generative AI in consumer health: leveraging large language models for health literacy and clinical safety with a digital health framework
  Generative AI, powered by large language models, is transforming consumer health by enhancing health literacy and delivering personalized health education. However, ensuring clinical safety and effectiveness requires a robust digital health framework to addres…
  openalex Annemarie K. Tilton, Brian E. Caplan, Brian J. Cole 2025-08-26 置信度 0.72 Health literacyGenerative grammarComputer scienceDigital healthNatural language processing
• Chatting with bots: AI, speech acts, and the edge of assertion
  This paper addresses the question of whether large language model-powered chatbots are capable of assertion. According to what we call the Thesis of Chatbot Assertion (TCA), chatbots are the kinds of things that can assert, and at least some of the output prod…
  openalex Iwan Williams, Tim Bayne 2024-12-10 置信度 0.72 AssertionDilemmaChatbotEpistemologyPhilosophy