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• Large Language Models and Agentic AI: How Modern AI Systems Are Evolving Into Autonomous Agents
  Large Language Models (LLMs) have undergone a dramatic transformation from static text-completion engines to dynamic, tool-wielding autonomous agents capable of planning, reasoning, and executing multi-step tasks in real-world environments. This paper provides…
  crossref Deepti Sharan, Nehuti 2026-06-03T09:24:21Z 置信度 0.70
• Defending the epistemic uniqueness thesis: the collapse of the standard instrumentalist model of responsibility (SIMR) in AI-mediated acts
  crossref Andreea Prichea 2026-02-25T12:53:45Z 置信度 0.70
• Explainable AI in Medical Imaging and Diagnosis: A Critical Review of Methods, Clinical Translation Barriers, and an Integrated Evaluation Framework
  Deep learning now matches or outperforms specialist clinicians on many medical imaging benchmarks, but clinical uptake has lagged well behind the benchmark numbers. Opacity is usually blamed. Explainable artificial intelligence (XAI) is the field’s proposed fi…
  crossref Ali Alhazmi 2026-08-21T10:42:30Z 置信度 0.70
• The Business of AI
  crossref 2026-05-13T20:24:56Z 置信度 0.70
• Key AI Regulations and Frameworks
  As artificial intelligence (AI) becomes central to digital innovation, governments and industry bodies worldwide are developing regulatory frameworks and governance models to guide its responsible development and deployment. These regulations aim to address gr…
  crossref Ariel Evans, Ajay Singh 2026-07-13T14:11:32Z 置信度 0.70
• Navigating the ethical landscape of AI-driven decision-making in healthcare: challenges and opportunities
  crossref Virendra Kumar Tiwari, Sanjay Bajpai, Jitendra Agrawal 2026-03-25T02:02:29Z 置信度 0.70
• Meeting Summarization via Semantic-based Segmentation using Self-alignment Embedding
  NLP에서 긴 문서를 처리하기 위해 일반적으로 사용되는 static segmentation 방식은 고정된 크기로 텍스트를 분할하기 때문에, 의미적 경계를 고려하지 않아 주제 단절이나 문맥 손실이 발생할 수 있다.또한, 다화자 회의 환경에서는 특정 화자의 발언이 요약 과정에서 누락되거나 과소 반영되는 문제가 발생할 수 있다. 본 논문에서는 텍스트의 semantic shift를 자동으로 탐지하여 의미 중심으로 세그먼트를 분할하는 self-alignment embed…
  crossref Dongwon Noh, Hyeonjeong Lee, Donghyeok Koh, Jinyeong Bak 等 2026-08-25T02:09:56Z 置信度 0.70
• AI-Tainted and AI-Generated Evidence in the German Criminal Process
  crossref Dominik Brodowski 2026-02-04T11:41:54Z 置信度 0.70
• Using AI to reduce distortive factors in Inquiry Dialogues
  Abstract Inquiry Dialogues aim at warranted judgment rather than merely the expression of personal opinion. This aspiration makes them vulnerable to distortive processes that undermine the quality of the judgments they produce. In this discussion, I identify f…
  crossref Aaron Yarmel 2026-06-05T17:27:41Z 置信度 0.70
• Utility AI and Emergent Gameplay
  In the evolving landscape of game development, creating engaging player experiences is key. This chapter delves into the transformative potential of Utility AI as a foundation for building adaptive systems that drive emergent gameplay. The chapter introduces t…
  crossref Vicky Bloom 2026-03-04T18:49:11Z 置信度 0.70
• AI pragmatists: How language teachers are navigating AI with nuance
  crossref Martine Rhéaume 2026-04-06T20:30:09Z 置信度 0.70
• Character Utility Behaviour Graph
  crossref David Wooldridge 2026-07-09T20:46:49Z 置信度 0.70
• The Gen AI Workforce Shift: Mapping Generative AI Exposure Across HR Occupations
  Generative Artificial Intelligence (Gen AI) is rapidly transforming the modern workplace, yet its specific impact on Human Resources functions remains underexplored. This study applies a skills-based analytical framework to assess the Gen AI task exposure of 8…
  crossref Arti Sharma 2026-04-27T17:26:39Z 置信度 0.70
• Relational AI: Design Principles and Architecture for AI That Emerges Through Relationship
  A 2026 study from King's College London demonstrated that three frontier AI models-placed in simulated nuclear crisis scenarios-chose nuclear signaling in 95% of cases and never once selected deescalation across 21 games. The models reasoned with sophisticatio…
  crossref Akihiko Morita 2026-07-29T13:20:32Z 置信度 0.70
• Semantic Alignment Incomplete Multi-Modal Hashing
  Multi-modal hashing encodes heterogeneous multi-view data into compact binary codes and has become a core technique in multimedia retrieval. Conventional methods typically assume fully paired modalities, while existing approaches for incomplete data often rely…
  crossref Qiwen Yang, Hui Zhang, Qiyang Zhao, Kangchun Lin 2026-04-21T21:23:31Z 置信度 0.70
• Introduction to special issue on FAIR Principles and Machine Learning, AI Readiness and AI Reproducibility
  The authors declare no conflicts of interest.
  crossref Lynne Schreiber, Daniel S. Katz, Yuhan Rao, Christine R. Kirkpatrick 2026-05-25T13:35:16Z 置信度 0.70
• From Actor-to-Actor to AI-to-AI: A Multi-layer Breakdown of Human-grounded Interaction under AI Mediation
  Traditional interaction models in marketing, economics, and information systems are built upon the assumption that observable behavior reliably reflects human cognition and intention. This paper argues that this assumption is increasingly invalid as artificial…
  crossref Shen Xu 2026-04-20T16:39:47Z 置信度 0.70
• Emerging Solutions for Trustworthy AI
  As artificial intelligence becomes increasingly embedded in our digital lives, from personalized recommendations and predictive analytics to autonomous systems and real-time surveillance, new concerns are rapidly surfacing. These concerns span ethical, legal, …
  crossref Ariel Evans, Ajay Singh 2026-07-13T14:11:32Z 置信度 0.70
• Cyber Risks Posed by AI
  While Artificial Intelligence (AI) has emerged as a powerful force multiplier for cybersecurity defense, it simultaneously introduces novel threats and attack surfaces. This chapter explores the dark side of AI: how malicious actors leverage AI to enhance the …
  crossref Ariel Evans, Ajay Singh 2026-07-13T14:11:32Z 置信度 0.70
• Key Aspects of AI Governance
  The ongoing artificial intelligence (AI) revolution is reshaping industries, geopolitics, and daily life at a scale comparable to the industrial revolution—but unfolding exponentially faster. AI now underpins decision-making in every domain, from finance and h…
  crossref Ariel Evans, Ajay Singh 2026-07-13T14:11:32Z 置信度 0.70
• Where Concept Erasure Should Occur: Concept-Layer Alignment in Text-to-Video Diffusion Models
  Text-to-video diffusion transformers encode semantic information unevenly across model depth, which constrains effective concept erasure. We identify a representational bottleneck, termed concept-layer topological alignment, under which target concepts exhibit…
  arxiv Yiwei Xie, Ping Liu, Zheng Zhang 2026-05-25T15:20:04Z 置信度 0.78 cs.CV
• CO-EVO: Co-evolving Semantic Anchoring and Style Diversification for Federated DG-ReID
  Federated domain generalization for person re-identification (FedDG-ReID) aims to collaboratively train a pedestrian retrieval model across multiple decentralized source domains such that it can generalize to unseen target environments without compromising raw…
  arxiv Fengchun Zhang, Qiang Ma, Liuyu Xiang, Jinshan Lai 等 2026-04-29T07:18:37Z 置信度 0.78 cs.CVcs.LG
• DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection
  Domain Generation Algorithms (DGAs) evolve continuously to evade botnet detection, posing a persistent challenge for dependable network defense. While deep learning-based detectors achieve strong performance under static conditions, they suffer severe degradat…
  arxiv Chaeyoung Lee, Chaeri Jung, Seonghoon Jeong 2026-05-11T12:08:41Z 置信度 0.78 cs.CRcs.LGcs.NI
• Task-guided cross-subject latent alignment: a multi-encoder-decoder VAE
  Aligning neural activity across subjects offers the promise of discovering shared computational principles and generalizable decoders. However, traditional alignment methods require shared stimuli across subjects, a constraint that limits applicability to natu…
  arxiv Angeliki Papathanasiou, Jascha Achterberg, Thomas E. Nichols, Rui Ponte Costa 2026-06-14T19:30:11Z 置信度 0.78 q-bio.NCcs.AI
• When Composition Doesn't Add Up: Humans Identifying Defects in AI-Generated Images
  *Chulin Zhao and Ruoqi Hu contributed equally to this work. State-of-the-art text-to-image (T2I) models exhibit pronounced and systematic defects when prompts involve intricate compositional factors such as multiple entities and multiple attributes. In this pa…
  arxiv Ruoqi Hu, Chulin Zhao, Jiashuo Chang, Ramon Ruiz-Dolz 等 2026-08-26T15:47:47Z 置信度 0.78 cs.CVcs.AI
• Dynamic Visual-semantic Alignment for Zero-shot Learning with Ambiguous Labels
  Zero-shot learning (ZSL) aims to recognize unseen classes without visual instances. However, existing methods usually assume clean labels, overlooking real-world label noise and ambiguity, which degrades performance. To bridge this gap, we propose the Dynamic …
  arxiv Jiangnan Li, Linqing Huang, Xiaowen Yan, Min Gan 等 2026-04-20T01:48:11Z 置信度 0.78 cs.CV
• HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment
  Large language model (LLM)-enhanced sequential recommendation typically aims to improve two core components: user semantic embedding extraction and utilization. Despite promising results, existing methods still have two limitations: 1) In the extraction stage,…
  arxiv Guorui Li, Dugang Liu, Lei Li, Xing Tang 等 2026-05-12T07:22:42Z 置信度 0.78 cs.IR
• MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment
  Multi-modal entity alignment aims to identify equivalent entities between two multi-modal Knowledge graphs by integrating multi-modal data, such as images and text, to enrich the semantic representations of entities. However, existing methods may overlook the …
  arxiv Zhifei Li, Ziyue Qin, Xiangyu Luo, Xiaoju Hou 等 2026-01-17T02:51:42Z 置信度 0.78 cs.AI
• GLP: A Grassroots, Multiagent, Concurrent, Logic Programming Language for AI
  A grassroots platform is a multiagent distributed system in which multiple independent instances can form and operate independently of each other and of any global resource, yet may coalesce into ever larger instances, possibly resulting in a single global ins…
  arxiv Ehud Shapiro 2026-07-23T11:16:12Z 置信度 0.78 cs.PLcs.DCcs.LOcs.MA
• APEX: Adaptive Principle EXtraction A Three-Layer Self-Evolution Framework for Production AI Agents
  Self-improvement in AI agents has emerged as a key research frontier: systems that modify their own prompts, workflows, and decision rules based on accumulated operational experience. The state-of-the-art Self-Harness framework [1] achieves 14--21% improvement…
  arxiv Ya-Chuan Chen, Tien-Jen Lai, Hsiang-Wei Hu 2026-06-13T15:47:27Z 置信度 0.78 cs.AI
• 'I Spend All My Energy Preparing': Balancing AI Automation and Agency for Self-Regulated Learning in SmartFlash
  Effective study strategies fail when preparatory tasks consume learning time. While AI educational tools demonstrate efficacy, understanding how they align with self-regulation needs in authentic study contexts remains limited. We conducted formative design re…
  arxiv Hongming Li, Salah Esmaeiligoujar, Nazanin Adham, Hai Li 等 2026-02-16T03:40:08Z 置信度 0.78 cs.HC
• Enhancing Multilingual LLM-based ASR with Mixture of Experts and Dynamic Downsampling
  The rapid progress of large language models (LLMs) has opened up a new frontier for automatic speech recognition (ASR), making their effective integration a critical and challenging research direction. To this end, this work proposes a projector-based LLM-ASR …
  arxiv Guodong Lin, Ziqi Chen, Yuxiang Fu, Ke Li 等 2026-06-09T05:35:31Z 置信度 0.78 cs.SDcs.CLeess.AS
• Numerically-Exact Quantum-Simulation Approach for Two-Dimensional Spectroscopy of Open Quantum Systems
  Two-dimensional spectroscopy (2DS) is a powerful ultrafast technique for probing electronic and vibrational dynamics in complex microscopic systems. Extracting detailed information on system dynamics and system-bath interactions from 2DS experiments requires p…
  arxiv Yi-Xuan Yao, Hao-Yue Zhang, Cheng-Ge Liu, Rong-Hang Chen 等 2026-04-28T15:16:08Z 置信度 0.78 quant-phphysics.optics
• The Roman Coronagraph Community Participation Program: target database and tools
  The Nancy Grace Roman Space Telescope, set to launch in Fall 2026, will carry the Coronagraph Instrument, which will, for the first time, demonstrate high-contrast imaging with active wavefront control in visible wavelengths from space. In preparation for exec…
  arxiv Dmitry Savransky, Rifah Tasnim, Saanika Choudhary, Hovik Grigoryan 等 2026-08-17T21:34:44Z 置信度 0.78 astro-ph.IM
• From Perceptions To Evidence: Detecting AI-Generated Content In Turkish News Media With A Fine-Tuned Bert Classifier
  The rapid integration of large language models into newsroom workflows has raised urgent questions about the prevalence of AI-generated content in online media. While computational studies have begun to quantify this phenomenon in English-language outlets, no …
  arxiv Ozancan Ozdemir 2026-02-13T22:29:00Z 置信度 0.78 cs.CLcs.AI
• Incentives and Market Structure in Intent-Based Exchanges: Evidence from a Solver-Reward Reform
  Intent-based decentralized exchanges delegate execution to a competitive class of agents -- solvers -- whose behavior is shaped by protocol-designed reward rules. We measure how a change to those rules reshapes who captures value, using a governance-dated natu…
  arxiv Ruiyang Zhang 2026-07-24T04:04:15Z 置信度 0.78 cs.CR
• More Isn't Always Better: Balancing Decision Accuracy and Conformity Pressures in Multi-AI Advice
  Just as people improve decision-making by consulting diverse human advisors, they can now also consult with multiple AI systems. Prior work on group decision-making shows that advice aggregation creates pressure to conform, leading to overreliance. However, th…
  arxiv Yuta Tsuchiya, Yukino Baba 2026-03-23T16:17:05Z 置信度 0.78 cs.HCcs.AI
• AI's Capability in Assisting Scientific Research in Physics, Astrophysics, and Cosmology I: Literature Review
  We investigate how well large language models (LLMs) can assist with literature reviews for scientific research. We perform a controlled study of eight expert-conceived research projects across the areas of physics, astrophysics, and cosmology. Each project ha…
  arxiv Anamaria Hell, Kateryna Vovk, Veena Krishnaraj, Jia Liu 等 2026-07-28T12:51:35Z 置信度 0.78 astro-ph.IMastro-ph.COcs.CLgr-qc
• Attention-weighted Centered Kernel Alignment for Knowledge Distillation in Large Audio-Language Models Applied to Speech Emotion Recognition
  The emergence of Large Audio-Language Models (LALMs) has advanced Speech Emotion Recognition (SER), but their size limits deployment in resource-constrained environments. While Knowledge Distillation is effective for LALM compression, existing methods remain u…
  arxiv Qingran Yang, Botao Zhao, Zuheng Kang, Xue Li 等 2026-02-02T02:26:22Z 置信度 0.78 cs.SDeess.AS
• Bridging Legal Interpretation and Formal Logic: Faithfulness, Assumption, and the Future of AI Legal Reasoning
  The growing adoption of large language models in legal practice brings both significant promise and serious risk. Legal professionals stand to benefit from AI that can reason over contracts, draft documents, and analyze sources at scale, yet the high-stakes na…
  arxiv Olivia Peiyu Wang, Leilani H. Gilpin 2026-05-13T19:11:09Z 置信度 0.78 cs.AIcs.CLcs.CY
• CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters
  As Large Language Models (LLMs) serve a global audience, alignment must transition from enforcing universal consensus to respecting cultural pluralism. We demonstrate that dense models, when forced to fit conflicting value distributions, suffer from \textbf{Me…
  arxiv Ao Sun, Xiaoyu Wang, Zhe Tan, Yu Li 等 2026-01-08T12:30:43Z 置信度 0.78 cs.CLcs.AIcs.LG
• Bi-MCQ: Reformulating Vision-Language Alignment for Negation Understanding
  Recent vision-language models (VLMs) achieve strong zero-shot performance via large-scale image-text pretraining and have been widely adopted in medical image analysis. However, existing VLMs remain notably weak at understanding negated clinical statements, la…
  arxiv Tae Hun Kim, Hyun Gyu Lee 2026-01-30T08:14:45Z 置信度 0.78 cs.CVcs.LG
• SA4Depth: Consistent Pose-Depth Scale Alignment for Self-Supervised Monocular Depth Estimation
  Self-supervised depth estimation from monocular sequences relies on the joint learning of a depth and a pose network. Despite abundant research done to improve the depth network, efforts on the pose remain limited. In this context, even when depth is estimated…
  arxiv Changxuan Li, Nadine Berner, Nassir Navab, Federico Tombari 等 2026-05-27T13:38:25Z 置信度 0.78 cs.CV
• PhaSR: Generalized Image Shadow Removal with Physically Aligned Priors
  Shadow removal under diverse lighting conditions requires disentangling illumination from intrinsic reflectance, a challenge compounded when physical priors are not properly aligned. We propose PhaSR (Physically Aligned Shadow Removal), addressing this through…
  arxiv Chia-Ming Lee, Yu-Fan Lin, Yu-Jou Hsiao, Jin-Hui Jiang 等 2026-01-24T14:15:41Z 置信度 0.78 cs.CV
• Lottery and Sprint Arcade: Enabling Player-Driven Game Editing with Generative AI
  Large language models (LLMs) are shifting game generation from offline automation toward play-driven modification through natural language interaction. In this work, we present a play-driven game editing system that enables players to modify a retro Space Inva…
  arxiv Maya Grace Torii, Takahito Murakami, Yoichi Ochiai 2026-07-12T11:05:19Z 置信度 0.78 cs.HC
• MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains
  With the increasing demand for step-wise, cross-modal, and knowledge-grounded reasoning, multimodal large language models (MLLMs) are evolving beyond the traditional fixed retrieve-then-generate paradigm toward more sophisticated agentic multimodal retrieval-a…
  arxiv Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai 等 2026-03-01T02:25:57Z 置信度 0.78 cs.AI
• Sustained Gradient Alignment Mediates Subliminal Learning in a Multi-Step Setting: Evidence from MNIST Auxiliary Logit Distillation Experiment
  In the MNIST auxiliary logit distillation experiment, a student can acquire an unintended teacher trait despite distilling only on no-class logits through a phenomenon called subliminal learning. Under a single-step gradient descent assumption, subliminal lear…
  arxiv Chayanon Kitkana, Shivam Arora 2026-04-28T15:46:18Z 置信度 0.78 cs.LGcs.AI
• Normativity and Productivism: Ableist Intelligence? A Degrowth Analysis of AI Sign Language Translation Tools for Deaf People
  Sign languages, of any geographical or accentual variation, understandably face continuous scrutiny under the ever present popularity of verbal dictation and audism. Through this, many potential problems arise with the current lack of accessible communication …
  arxiv Nina Seron-Abouelfadil, Poppy Fynes 2026-04-30T17:14:08Z 置信度 0.78 cs.AIcs.CYcs.HC
• Stuck on Suggestions: Automation Bias, the Anchoring Effect, and the Factors That Shape Them in Computational Pathology
  Artificial intelligence (AI)-driven decision support systems can improve diagnostic accuracy and efficiency in computational pathology. However, collaboration between human experts and AI may introduce cognitive biases such as automation and anchoring bias, wh…
  arxiv Emely Rosbach, Jonas Ammeling, Jonathan Ganz, Christof Albert Bertram 等 2026-03-12T11:30:54Z 置信度 0.78 cs.HC
• Mojo: A Promising Tool for Scalable Financial AI Efficiency
  For thirty years, quantitative finance has paid a costly two-language tax: models researched in Python are rewritten in C++ for production, often introducing numerical discrepancies. GPU-accelerated deep learning exacerbates this problem, as nondeterministic f…
  arxiv Henry Han 2026-06-14T23:18:58Z 置信度 0.78 cs.LGcs.AI
• Designing Human-mediated AI Guidance: Ready Together for Personalized Family Emergency Preparedness
  Artificial intelligence (AI) systems are increasingly used across domains to provide personalized information, recommendations, and decision support. However, in some contexts, AI-generated information may not be suitable for direct delivery to the final recip…
  arxiv Nini Kurashvili, Yana Ivanchenko, Greta Schiavo, Cansu Koyuturk 等 2026-08-20T12:17:24Z 置信度 0.78 cs.HCcs.AIcs.CY
• Linear Systems and Eigenvalue Problems: Open Questions from a Simons Workshop
  This document presents a series of open questions arising in matrix computations, i.e., the numerical solution of linear algebra problems. It is a result of working groups at the workshop Linear Systems and Eigenvalue Problems, which was organized at the Simon…
  arxiv Noah Amsel, Yves Baumann, Paul Beckman, Peter Bürgisser 等 2026-02-05T07:20:20Z 置信度 0.78 math.NAcs.DS
• ThaiSafetyBench: Assessing Language Model Safety in Thai Cultural Contexts
  The safety evaluation of large language models (LLMs) remains largely centered on English, leaving non-English languages and culturally grounded risks underexplored. In this work, we investigate LLM safety in the context of the Thai language and culture and in…
  arxiv Trapoom Ukarapol, Nut Chukamphaeng, Kunat Pipatanakul, Pakhapoom Sarapat 2026-03-05T09:35:50Z 置信度 0.78 cs.CL
• Ontological Knowledge Blocks: Executable Compliance and Profile-Based Validation for Trustworthy AI Systems
  AI-enabled services deployed in critical digital infrastructure are subject to governance obligations spanning transparency, accountability, fairness, and traceability. Compliance today remains documentation-centric: obligations are described in prose, audits …
  arxiv Aasish Kumar Sharma, Julian M. Kunkel 2026-05-22T07:14:31Z 置信度 0.78 cs.AIcs.DC
• Task-Adaptive 3D Cross-Field MRI Translation via Field-Conditioned Content-Style Pretraining
  Magnetic field strength is a major source of domain shift in magnetic resonance imaging (MRI), affecting signal-to-noise ratio, tissue contrast, spatial detail, and the visibility of anatomical boundaries. The MRIxFields 2026 challenge investigates this proble…
  arxiv Haowen Pang, Yingqi Hao, Pengli Zhu 2026-08-10T08:18:49Z 置信度 0.78 cs.CV
• PII Shield: A Browser-Level Overlay for User-Controlled Personal Identifiable Information (PII) Management in AI Interactions
  AI chatbots have quietly become the world's most popular therapists, coaches, and confidants. Users of cloud-based LLM services are increasingly shifting from simple queries like idea generation and poem writing, to deeply personal interactions. As Large Langu…
  arxiv Max Holschneider, Saetbyeol LeeYouk 2026-03-26T00:20:58Z 置信度 0.78 cs.HC
• Token-level Collaborative Alignment for LLM-based Generative Recommendation
  Large Language Models (LLMs) have demonstrated strong potential for generative recommendation by leveraging rich semantic knowledge. However, existing LLM-based recommender systems struggle to effectively incorporate collaborative filtering (CF) signals, due t…
  arxiv Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu 等 2026-01-26T13:05:02Z 置信度 0.78 cs.IR
• Position: AI Must Become Planet-Centered, Not Just Human-Centered
  This position paper argues that contemporary AI paradigms are insufficient for supporting complex global goals and introduces Planet-Centered AI (PCAI) as a design philosophy and research agenda that reorients AI toward planetary-scale socio-ecological systems…
  arxiv Maria Perez-Ortiz 2026-06-09T13:59:15Z 置信度 0.78 cs.CYcs.AIcs.LG
• MetaRAG: Belief-Action Aligned Policy Optimization for Agentic RAG
  Agentic retrieval-augmented generation (RAG) requires language models to decide when to continue searching and when to answer. Existing RL-based methods rely on external supervision and overlook the agent's internal belief about whether the current evidence is…
  arxiv Qiuyi Qi, Tian Liang, Jiamu Wang, Jinjian Zhang 等 2026-08-25T08:20:29Z 置信度 0.78 cs.AI
• (Over)Reliance on Test Agents in AI-Assisted Software Testing
  AI-based test agents promise to accelerate software testing by shortening feedback loops in continuous development and improving scalability and maintainability. To realize these benefits, engineers must still be able to assess if agent outputs are useful, val…
  arxiv Eduard Paul Enoiu 2026-07-20T13:23:49Z 置信度 0.78 cs.SE
• Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
  Advancements in Natural Language Processing (NLP), have led to the emergence of Large Language Models (LLMs) such as GPT, Llama, Claude, and Gemini, which excel across a range of tasks but require extensive fine-tuning to align their outputs with human expecta…
  arxiv Angela Lopez-Cardona, Carlos Segura, Alexandros Karatzoglou, Sergi Abadal 等 2024-10-02T13:24:56Z 置信度 0.78 cs.CLcs.AIcs.CVcs.HC
• What Do People Actually Want From AI? Mapping Preference Plurality
  Large Language Models (LLMs) are often fine-tuned through Reinforcement Learning from Human Feedback (RLHF) to align with people's preferences and values. However, this method has known limitations: it aggregates conflicting preferences, often relies on unrepr…
  arxiv Julia Sepúlveda Coelho, Scott A. Hale 2026-06-04T19:47:29Z 置信度 0.78 cs.CLcs.CY
• Measuring AI Agents' Progress on Multi-Step Cyber Attack Scenarios
  We evaluate the autonomous cyber-attack capabilities of frontier AI models on two purpose-built cyber ranges-a 32-step corporate network attack and a 7-step industrial control system attack-that require chaining heterogeneous capabilities across extended actio…
  arxiv Linus Folkerts, Will Payne, Simon Inman, Philippos Giavridis 等 2026-03-11T18:30:17Z 置信度 0.78 cs.AIcs.LG
• The Quiet Contributions: Insights into AI-Generated Silent Pull Requests
  We present the first empirical study of AI-generated pull requests that are 'silent,' meaning no comments or discussions accompany them. This absence of any comments or discussions associated with such silent AI pull requests (SPRs) poses a unique challenge in…
  arxiv S M Mahedy Hasan, Md Fazle Rabbi, Minhaz Zibran 2026-01-28T22:43:42Z 置信度 0.78 cs.SE
• CGU-ILALab at FoodBench-QA 2026: Comparing Traditional and LLM-based Approaches for Recipe Nutrient Estimation
  Accurate nutrient estimation from unstructured recipe text is an important yet challenging problem in dietary monitoring, due to ambiguous ingredient terminology and highly variable quantity expressions. We systematically evaluate models spanning a wide range …
  arxiv Wei-Chun Chen, Yu-Xuan Chen, I-Fang Chung, Ying-Jia Lin 2026-04-28T15:41:01Z 置信度 0.78 cs.CLcs.AI
• "Abuse Risks are Often Inherent to Product Features": Exploring AI Vendors' Bug Bounty and Responsible Disclosure Policies
  As vendors adopt AI technologies, security researchers are working to uncover and fix related vulnerabilities, which is important given AI systems handle sensitive data and critical functions. This process relies on vendors receiving and rewarding AI vulnerabi…
  arxiv Yangheran Piao, Jingjie Li, Daniel W. Woods 2025-09-07T16:44:28Z 置信度 0.78 cs.CR
• Parallax: Why AI Agents That Think Must Never Act
  Autonomous AI agents are rapidly transitioning from experimental tools to operational infrastructure, with projections that 80% of enterprise applications will embed AI copilots by the end of 2026. As agents gain the ability to execute real-world actions (read…
  arxiv Joel Fokou 2026-04-14T17:20:48Z 置信度 0.78 cs.CRcs.AI
• Abstraction Induces the Brain Alignment of Language and Speech Models
  Research has repeatedly demonstrated that intermediate hidden states extracted from large language models and speech audio models predict measured brain response to natural language stimuli. Yet, very little is known about the representation properties that en…
  arxiv Emily Cheng, Aditya R. Vaidya, Richard Antonello 2026-02-03T23:35:29Z 置信度 0.78 cs.CL
• Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations
  Large language models (LLMs) have demonstrated impressive capabilities in utilizing external tools. In practice, however, LLMs are often exposed to tools that are irrelevant to the user's query, in which case the desired behavior is to refrain from invocations…
  arxiv Yilong Liu, Xixun Lin, Pengfei Cao, Ge Zhang 等 2026-04-13T11:23:36Z 置信度 0.78 cs.CLcs.AI
• GeoNav: Empowering MLLMs with dual-scale geospatial reasoning for language-goal aerial navigation
  Language-goal aerial navigation requires UAVs to localize targets in the complex outdoors, such as urban blocks based on textual instructions. The indoor methods are often hard to scale to urban scenes due to ambiguous objects, limited visual field, and spatia…
  arxiv Haotian Xu, Yue Hu, Chen Gao, Zhengqiu Zhu 等 2025-04-13T14:12:42Z 置信度 0.78 cs.RO
• CAP: Controllable Alignment Prompting for Unlearning in LLMs
  Large language models (LLMs) trained on unfiltered corpora inherently risk retaining sensitive information, necessitating selective knowledge unlearning for regulatory compliance and ethical safety. However, existing parameter-modifying methods face fundamenta…
  arxiv Zhaokun Wang, Jinyu Guo, Jingwen Pu, Hongli Pu 等 2026-04-23T03:42:41Z 置信度 0.78 cs.LGcs.AI
• Intelligent Front-End Personalization: AI-Driven UI Adaptation
  Front-end personalization has traditionally relied on static designs or rule-based adaptations, which fail to fully capture user behavior patterns. This paper presents an AI driven approach for dynamic front-end personalization, where UI layouts, content, and …
  arxiv Mona Rajhans 2026-02-03T06:10:10Z 置信度 0.78 cs.HCcs.AIcs.SE
• Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI
  Agentic AI systems increasingly act through tool-augmented, multi-step workflows whose failures (unsafe tool use, unauthorised actions, social harm) carry deployment-level consequences. Evaluation practice remains fragmented across isolated benchmark slices, a…
  arxiv Jinhu Qi, Yifan Li, Minghao Zhao, Wentao Zhang 等 2026-03-16T08:51:33Z 置信度 0.78 cs.CLcs.DB
• How Do Software Professionals Evaluate AI-Generated Code? (Registered Report)
  Recent advances in generative AI tools have significantly changed how software professionals write, evaluate, and interact with code. Generative AI tools such as GitHub Copilot, ChatGPT, and Claude are increasingly being integrated into everyday workflows. Des…
  arxiv Samuli Määttä, Hera Arif, Burak Turhan, Paul Ralph 等 2026-07-10T14:01:00Z 置信度 0.78 cs.SE
• CoCoA: Context-Conditional Cultural Alignment for Large Language Models
  Large Language Models (LLMs) often favor Western-associated entities across cultural contexts. Conventional debiasing methods aim for uniform neutrality, but cultural bias mitigation demands context-conditional behavior, preferring culturally appropriate entit…
  arxiv Kyungdon Lee, Wei Xu, Alan Ritter, Dong-Ho Lee 等 2026-08-30T01:04:36Z 置信度 0.78 cs.CL
• Position: Embodied AI Requires a Privacy-Utility Trade-off
  Embodied AI (EAI) systems are rapidly transitioning from simulations into real-world domestic and other sensitive environments. However, recent EAI solutions have largely demonstrated advancements within isolated stages such as instruction, perception, plannin…
  arxiv Xiaoliang Fan, Jiarui Chen, Zhuodong Liu, Ziqi Yang 等 2026-05-06T15:16:05Z 置信度 0.78 cs.AIcs.RO
• A study of GenAI usage by Design Students Analysis of Survey Results and Journals of AI practices at the Politecnico di Milano in 2025/2026
  The results of a survey on the use of GenAI by the design students of the Politecnico di Milano raises major questions around the role of AI in the Design Process. A domain specific set of questions alongside the more general purpose probes about GenAI usage, …
  arxiv Stefana Broadbent 2026-07-19T06:25:07Z 置信度 0.78 cs.CY
• Topology-Enhanced Alignment for Large Language Models: Trajectory Topology Loss and Topological Preference Optimization
  Alignment of large language models (LLMs) via SFT and RLHF/DPO typically ignores the global geometry of the representation space, relying instead on local token likelihoods or scalar scores. We view generation as tracing a semantic trajectory in hidden space a…
  arxiv Yurui Pan, Ke Xu, Bo Peng 2026-05-08T03:07:31Z 置信度 0.78 cs.CL
• AI-Powered Mental Health Chatbots in Africa: A Systematic Review and Culturally Adaptive Framework
  Mental health challenges in Africa remain under-addressed due to inadequate infrastructure, stigma, and a chronic shortage of professionals. Artificial Intelligence (AI)-powered chatbots are emerging globally as low-cost, accessible tools that can offer psycho…
  arxiv Matshepo Lebese, Pitso Tsibolane 2026-05-17T13:44:56Z 置信度 0.78 cs.AI
• Detecting Hidden ML Training With Zero-Overhead Telemetry
  Hardware-enabled monitoring of GPU workloads underpins many proposals for AI compute governance, but if developers can defeat monitoring mechanisms, such schemes are unworkable. We evaluate the adversarial robustness of GPU workload classification using only z…
  arxiv Robi Rahman, Sabiha Tajdari 2026-06-17T16:39:40Z 置信度 0.78 cs.LG
• A Survey on AI for 6G: Challenges and Opportunities
  As wireless communication evolves, each generation of networks brings new technologies that change how we connect and interact. Artificial Intelligence (AI) is becoming crucial in shaping the future of sixth-generation (6G) networks. By combining AI and Machin…
  arxiv Constantina Chatzieleftheriou, Eirini Liotou 2026-03-30T08:22:50Z 置信度 0.78 cs.NIcs.AI
• Information-Theoretic Limits on Exact Subgraph Alignment Problem
  The graph alignment problem aims to identify the vertex correspondence between two correlated graphs. Most existing studies focus on the scenario in which the two graphs share the same vertex set. However, in many real-world applications, such as computer visi…
  arxiv Chun Hei Michael Shiu, Hei Victor Cheng, Lele Wang 2026-01-08T17:59:49Z 置信度 0.78 cs.IT
• The sesquicentennial of the prime number $2^{127} - 1$
  The year 2026 marks the 150th anniversary of a remarkable achievement in mathematics: in 1876, the French mathematician Édouard Lucas showed that the 39-digit number $M_{127} := 2^{127} -1$ is prime. This stood for 75 years as the largest known prime, and it r…
  arxiv Matthew Baker 2026-08-05T18:22:13Z 置信度 0.78 math.NTmath.HO
• To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance
  Multimodal learning often relies on aligning representations across modalities to enable effective information integration, an approach traditionally assumed to be universally beneficial. However, prior research has primarily taken an observational approach, e…
  arxiv Wanlong Fang, Tianle Zhang, Alvin Chan 2025-11-15T09:15:53Z 置信度 0.78 cs.LGcs.MM
• Man, Machine, and Masterpiece: Artistic Ownership in the AI Era
  The integration of AI-driven systems in creative work has sparked debates among artists and legal communities about notions of ownership. Yet there remains little consensus on how ownership should be defined and attributed when human and AI contributions are i…
  arxiv Sofi Gjing Jovanovska, Kuntal Ghosh, Daniel Muhu Njenga, Ahmed Mufassir 等 2026-07-16T14:12:53Z 置信度 0.78 cs.AI
• Human Control Is the Anchor, Not the Answer: Early Divergence of Oversight in Agentic AI Communities
  Oversight for agentic AI is often discussed as a single goal ("human control"), yet early adoption may produce role-specific expectations. We present a comparative analysis of two newly active Reddit communities in Jan--Feb 2026 that reflect different socio-te…
  arxiv Hanjing Shi, Dominic DiFranzo 2026-02-10T00:10:20Z 置信度 0.78 cs.AIcs.CYcs.HC
• ARISMA: Guidelines for AI- and LLM-Assisted Systematic Reviews, Scoping Reviews, and Mapping Studies
  Systematic reviews, scoping reviews, mapping studies, and related evidence syntheses are increasingly difficult to conduct with fully manual workflows as search volumes, update cycles, and synthesis requirements continue to expand. At the same time, artificial…
  arxiv Mahyar Tourchi Moghaddam, Mina Alipour 2026-08-25T18:40:06Z 置信度 0.78 cs.SEcs.AI
• Representation Learning with Semantic-aware Instance and Sparse Token Alignments
  Medical contrastive vision-language pre-training (VLP) has demonstrated significant potential in improving performance on downstream tasks. Traditional approaches typically employ contrastive learning, treating paired image-report samples as positives and unpa…
  arxiv Phuoc-Nguyen Bui, Toan Duc Nguyen, Junghyun Bum, Duc-Tai Le 等 2026-01-13T02:55:48Z 置信度 0.78 cs.CV
• HackerSignal: A Large-Scale Multi-Source Dataset Linking Hacker Community Discourse to the CVE Vulnerability Lifecycle
  We introduce HackerSignal, a benchmark for temporal out-of-distribution cyber threat intelligence (CTI) and cross-source CVE linkage. HackerSignal aggregates 7.45 million exact-deduplicated documents from 64 public forum/source identifiers spanning eight sourc…
  arxiv Benjamin M. Ampel, Sagar Samtani 2026-05-04T21:03:42Z 置信度 0.78 cs.CR
• Black Hole Explorer Mission Development in Japan
  The Black Hole Explorer (BHEX) is a next-generation space very-long-baseline interferometry (VLBI) mission concept that will extend existing ground-based millimeter/submillimeter VLBI arrays to space. The Japanese astronomical community has contributed to BHEX…
  arxiv Kazunori Akiyama, Mareki Honma, Akihiro Doi, Shoko Koyama 等 2026-08-01T22:57:20Z 置信度 0.78 astro-ph.IMastro-ph.HE
• Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers
  This position paper explores how Agentic AI and Model Context Protocol (MCP) can support power-grid studies in a Transmission System Operator (TSO) context. We focus on integrating Large Language Models with numerical simulation tools, structured workflows, an…
  arxiv Jérôme Picault, Clément Goubet 2026-07-14T20:58:21Z 置信度 0.78 cs.AIcs.CLcs.MAcs.SE
• From Human-Level AI Tales to AI Leveling Human Scales
  Comparing AI models to "human level" is often misleading when benchmark scores are incommensurate or human baselines are drawn from a narrow population. To address this, we propose a framework that calibrates items against the 'world population' and report per…
  arxiv Peter Romero, Fernando Martínez-Plumed, Zachary R. Tidler, Matthieu Téhénan 等 2026-02-21T17:27:20Z 置信度 0.78 cs.LG
• Agentic AI: User Empowerment or Foreclosure?
  Agentic AI promises systems that can act on users' behalf, from filtering content to negotiating prices to selecting services. Whether it will empower users is an open question, and one that depends on more than the technology. We conduct a comparative case an…
  arxiv David Gamba, Daniel M. Romero, Grant Schoenebeck 2026-08-06T18:49:13Z 置信度 0.78 cs.CYcs.AIcs.HC
• A Precedent-Guided Co-Scientist for Side-Effect-Aware Drug Redesign
  We propose PRECEDE, a precedent-guided co-scientist for side-effect-aware drug redesign that revises a parent compound to mitigate a specified side effect while preserving therapeutic function. Rather than isolated molecular generation, PRECEDE frames redesign…
  arxiv Yujin Kim, Charmgil Hong 2026-07-03T04:37:08Z 置信度 0.78 cs.LGcs.AI
• Generative Artificial Intelligence in Scientific Research: Individual Benefits, Collective Risks, and a Framework for Responsible Research with AI
  This paper examines the tension between the benefits of generative artificial intelligence (AI) for scientific research and the unresolved governance questions that accompany its rapid adoption. Drawing on an academic roundtable held at the AI for Science and …
  arxiv Fulvio Castellacci, Tommaso Ciarli, Yuan Gao, Marianna Marino 等 2026-07-27T08:01:51Z 置信度 0.78 econ.GN
• "It Talks Like a Patient, But Feels Different": Co-Designing AI Standardized Patients with Medical Learners
  Standardized patients (SPs) play a central role in clinical communication training but are costly, difficult to scale, and inconsistent. Large language model (LLM) based AI standardized patients (AI-SPs) promise flexible, on-demand practice, yet learners often…
  arxiv Zhiqi Gao, Guo Zhu, Huarui Luo, Dongyijie Primo Pan 等 2026-02-05T16:38:51Z 置信度 0.78 cs.HC
• An archival summary: 15 years of ALMA observations on disks and planet formation
  The Atacama Large (sub-)millimeter Array (ALMA) has been in scientific operations for almost 15 years. We celebrate this achievement by providing a summary of the ``Disks and planet formation'' scientific category, with an emphasis on the disks located in the …
  arxiv Nicolas T. Kurtovic, Lizxandra Flores-Rivera, Laura M. Perez, Miguel Vioque 等 2026-05-28T14:42:40Z 置信度 0.78 astro-ph.EP
• Generative UI as an Accessibility Bridge: Lessons from C2C E-Commerce
  Web accessibility rests on static standards and developer compliance. That model frays in platforms where content is user-generated: photos arrive blurry or off-frame, descriptions skip size and condition, and page structure shifts from listing to listing. Dra…
  arxiv Bektur Ryskeldiev 2026-04-28T10:03:14Z 置信度 0.78 cs.HCcs.AIcs.CY
• A Multi-Level Visual Analytics Approach to Artist-Era Alignment in Popular Music
  Existing computational studies of popular music primarily model aggregate trends or predict chart performance, offering limited support for interpreting artist-level alignment against historical stylistic baselines. We introduce an interactive visual analytics…
  arxiv Jiyeon Bae, Jinwook Seo 2026-03-23T06:42:41Z 置信度 0.78 cs.HC
• Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization
  Symbolic regression (SR) aims to discover mathematical expressions from data, a task traditionally tackled using Genetic Programming (GP) through combinatorial search over symbolic structures. Latent Space Optimization (LSO) methods use neural encoders to map …
  arxiv Benjamin Léger, Kazem Meidani, Christian Gagné 2026-04-09T14:55:36Z 置信度 0.78 cs.NEcs.AI