脑科学 · 全部实体（第 1 / 100 页）

本页收录第 1–100 条，共 10000 条 · 返回 脑科学 首页

• Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning
  Many natural language processing (NLP) tasks involve subjectivity, ambiguity, or legitimate disagreement between annotators. In this paper, we outline our system for modeling human variation. Our system leverages language models' (LLMs) in-context learning abi…
  arxiv Taylor Sorensen, Yejin Choi 2025-10-08T14:59:24Z 置信度 0.78 cs.CLcs.AI
• Quintessence and phantoms in light of DESI 2025
  We analyse DESI BAO, CMB, and supernova data to explore the physical origin of the DESI indication for dynamical dark energy. Beyond the standard CPL parametrization, we explore truncated alternatives and quintessence models. We conclude that there is compelli…
  arxiv Ioannis D. Gialamas, Gert Hütsi, Martti Raidal, Juan Urrutia 等 2025-06-26T17:58:18Z 置信度 0.78 astro-ph.COhep-ph
• SmartWilds: Multimodal Wildlife Monitoring Dataset
  We present the first release of SmartWilds, a multimodal wildlife monitoring dataset. SmartWilds is a synchronized collection of drone imagery, camera trap photographs and videos, and bioacoustic recordings collected during summer 2025 at The Wilds safari park…
  arxiv Jenna Kline, Anirudh Potlapally, Bharath Pillai, Tanishka Wani 等 2025-09-23T11:07:18Z 置信度 0.78 cs.CV
• Type-Driven Prompt Programming: From Typed Interfaces to a Calculus of Constraints
  Prompt programming treats large language model prompts as software components with typed interfaces. Based on a literature survey of 15 recent works from 2023 to 2025, we observe a consistent trend: type systems are central to emerging prompt programming frame…
  arxiv Abhijit Paul 2025-08-17T19:34:24Z 置信度 0.78 cs.PLcs.FL
• Large Language Models Imitate Logical Reasoning, but at what Cost?
  We present a longitudinal study which evaluates the reasoning capability of frontier Large Language Models over an eighteen month period. We measured the accuracy of three leading models from December 2023, September 2024 and June 2025 on true or false questio…
  arxiv Lachlan McGinness, Peter Baumgartner 2025-09-16T04:03:42Z 置信度 0.78 cs.AIcs.LO
• Intercepting 3I/ATLAS at Closest Approach to Jupiter with the Juno spacecraft
  The interstellar object 3I/ATLAS is expected to arrive at a distance of $53.56(\pm 0.45)$ million ${\rm km}$ ($0.358\pm 0.003$~au) from Jupiter on March 16, 2026. We show that applying a total thrust $Δ$V of $2.6755 {\rm km~s^{-1}}$ to lower perijove on Septem…
  arxiv Abraham Loeb, Adam Hibberd, Adam Crowl 2025-07-29T00:21:25Z 置信度 0.78 astro-ph.EPastro-ph.GAastro-ph.IM
• Predicting Brain Tumor Response to Therapy using a Hybrid Deep Learning and Radiomics Approach
  Accurate evaluation of the response of glioblastoma to therapy is crucial for clinical decision-making and patient management. The Response Assessment in Neuro-Oncology (RANO) criteria provide a standardized framework to assess patients' clinical response, but…
  arxiv Daniil Tikhonov, Matheus Scatolin, Mohor Banerjee, Qiankun Ji 等 2025-09-08T10:15:23Z 置信度 0.78 cs.CV
• QUST_NLP at SemEval-2025 Task 7: A Three-Stage Retrieval Framework for Monolingual and Crosslingual Fact-Checked Claim Retrieval
  This paper describes the participation of QUST_NLP in the SemEval-2025 Task 7. We propose a three-stage retrieval framework specifically designed for fact-checked claim retrieval. Initially, we evaluate the performance of several retrieval models and select th…
  arxiv Youzheng Liu, Jiyan Liu, Xiaoman Xu, Taihang Wang 等 2025-06-12T07:06:40Z 置信度 0.78 cs.IRcs.AI
• Self-supervised Representation Learning with Local Aggregation for Image-based Profiling
  Image-based cell profiling aims to create informative representations of cell images. This technique is critical in drug discovery and has greatly advanced with recent improvements in computer vision. Inspired by recent developments in non-contrastive Self-Sup…
  arxiv Siran Dai, Qianqian Xu, Peisong Wen, Yang Liu 等 2025-06-17T07:25:57Z 置信度 0.78 cs.CV
• Multi-Stage Verification-Centric Framework for Mitigating Hallucination in Multi-Modal RAG
  This paper presents the technical solution developed by team CRUISE for the KDD Cup 2025 Meta Comprehensive RAG Benchmark for Multi-modal, Multi-turn (CRAG-MM) challenge. The challenge aims to address a critical limitation of modern Vision Language Models (VLM…
  arxiv Baiyu Chen, Wilson Wongso, Xiaoqian Hu, Yue Tan 等 2025-07-27T05:45:45Z 置信度 0.78 cs.CLcs.AIcs.IR
• Attention-based Mixture of Experts for Robust Speech Deepfake Detection
  AI-generated speech is becoming increasingly used in everyday life, powering virtual assistants, accessibility tools, and other applications. However, it is also being exploited for malicious purposes such as impersonation, misinformation, and biometric spoofi…
  arxiv Viola Negroni, Davide Salvi, Alessandro Ilic Mezza, Paolo Bestagini 等 2025-09-22T11:09:20Z 置信度 0.78 cs.SD
• Randomstrasse101: Open Problems of 2025
  Randomstrasse101 is a blog dedicated to Open Problems in Mathematics, with a focus on Probability Theory, Computation, Combinatorics, Statistics, and related topics. This manuscript serves as a stable record of the Open Problems posted in 2025, with the goal o…
  arxiv Afonso S. Bandeira, Daniil Dmitriev, Kevin Lucca, Petar Nizić-Nikolac 等 2026-03-31T10:52:10Z 置信度 0.78 math.PRcs.ITmath.COmath.OCmath.ST
• Clip-and-Verify: Linear Constraint-Driven Domain Clipping for Accelerating Neural Network Verification
  State-of-the-art neural network (NN) verifiers demonstrate that applying the branch-and-bound (BaB) procedure with fast bounding techniques plays a key role in tackling many challenging verification properties. In this work, we introduce the linear constraint-…
  arxiv Duo Zhou, Jorge Chavez, Hesun Chen, Grani A. Hanasusanto 等 2025-12-11T19:59:37Z 置信度 0.78 cs.LGcs.AIcs.CRmath.OC
• Cyber security of Mega Events: A Case Study of Securing the Digital Infrastructure for MahaKumbh 2025 -- A 45 days Mega Event of 600 Million Footfalls
  Mega events such as the Olympics, World Cup tournaments, G-20 Summit, religious events such as MahaKumbh are increasingly digitalized. From event ticketing, vendor booth or lodging reservations, sanitation, event scheduling, customer service, crime reporting, …
  arxiv Rohit Negi, Amit Negi, Manish Sharma, S. Venkatesan 等 2025-07-21T14:21:59Z 置信度 0.78 cs.CRcs.CY
• Domain-Specialized Interactive Segmentation Framework for Meningioma Radiotherapy Planning
  Precise delineation of meningiomas is crucial for effective radiotherapy (RT) planning, directly influencing treatment efficacy and preservation of adjacent healthy tissues. While automated deep learning approaches have demonstrated considerable potential, ach…
  arxiv Junhyeok Lee, Han Jang, Kyu Sung Choi 2025-10-01T01:57:10Z 置信度 0.78 cs.CVcs.AI
• keepitsimple at SemEval-2025 Task 3: LLM-Uncertainty based Approach for Multilingual Hallucination Span Detection
  Identification of hallucination spans in black-box language model generated text is essential for applications in the real world. A recent attempt at this direction is SemEval-2025 Task 3, Mu-SHROOM-a Multilingual Shared Task on Hallucinations and Related Obse…
  arxiv Saketh Reddy Vemula, Parameswari Krishnamurthy 2025-05-23T05:25:14Z 置信度 0.78 cs.CLcs.AI
• From Pixels to Graphs: using Scene and Knowledge Graphs for HD-EPIC VQA Challenge
  This report presents SceneNet and KnowledgeNet, our approaches developed for the HD-EPIC VQA Challenge 2025. SceneNet leverages scene graphs generated with a multi-modal large language model (MLLM) to capture fine-grained object interactions, spatial relations…
  arxiv Agnese Taluzzi, Davide Gesualdi, Riccardo Santambrogio, Chiara Plizzari 等 2025-06-10T08:21:38Z 置信度 0.78 cs.CV
• GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human
  We present the GenAI Content Detection Task~1 -- a shared task on binary machine generated text detection, conducted as a part of the GenAI workshop at COLING 2025. The task consists of two subtasks: Monolingual (English) and Multilingual. The shared task attr…
  arxiv Yuxia Wang, Artem Shelmanov, Jonibek Mansurov, Akim Tsvigun 等 2025-01-19T11:11:55Z 置信度 0.78 cs.CL
• How We Won BraTS-SSA 2025: Brain Tumor Segmentation in the Sub-Saharan African Population Using Segmentation-Aware Data Augmentation and Model Ensembling
  Brain tumors, particularly gliomas, pose significant chall-enges due to their complex growth patterns, infiltrative nature, and the variability in brain structure across individuals, which makes accurate diagnosis and monitoring difficult. Deep learning models…
  arxiv Claudia Takyi Ankomah, Livingstone Eli Ayivor, Ireneaus Nyame, Leslie Wambo 等 2025-10-03T23:32:35Z 置信度 0.78 eess.IVcs.CV
• KMT-2025-BLG-0975Lb and KMT-2025-BLG-1160Lb: Two Uranus-Mass Planets Beyond the Snow Line Discovered by Microlensing
  We present the analysis of two planetary microlensing events, KMT-2025-BLG-0975 and KMT-2025-BLG-1160, discovered during the 2025 Galactic bulge microlensing season through high-cadence survey observations. In both events, short-duration anomalies near the pea…
  arxiv Cheongho Han, Chung-Uk Lee, Andrzej Udalski, Andrew Gould 等 2026-07-28T04:01:13Z 置信度 0.78 astro-ph.EPastro-ph.GA
• Recommendation systems in e-commerce applications with machine learning methods
  E-commerce platforms are increasingly reliant on recommendation systems to enhance user experience, retain customers, and, in most cases, drive sales. The integration of machine learning methods into these systems has significantly improved their efficiency, p…
  arxiv Aneta Poniszewska-Maranda, Magdalena Pakula, Bozena Borowska 2025-06-15T10:51:01Z 置信度 0.78 cs.IRcs.LG
• Moving Matter: Using a Single, Simple Robot to Reconfigure a Connected Set of Building Blocks
  We implement and evaluate different methods for the reconfiguration of a connected arrangement of tiles into a desired target shape, using a single active robot that can move along the tile structure. This robot can pick up, carry, or drop off one tile at a ti…
  arxiv Javier Garcia, Jonas Friemel, Ramin Kosfeld, Michael Yannuzzi 等 2025-06-29T17:03:44Z 置信度 0.78 cs.ROcs.CGcs.DS
• Structured dataset of reported cloud seeding activities in the United States (2000-2025) using an LLM
  Cloud seeding, a weather modification technique used to increase precipitation, has been practiced in the western United States since the 1940s. However, comprehensive datasets are not currently available to analyze these efforts. To address this gap, we prese…
  arxiv Jared Joseph Donohue, Kara D. Lamb 2025-05-02T19:47:30Z 置信度 0.78 physics.ao-ph
• Addressing Data Imbalance in Transformer-Based Multi-Label Emotion Detection with Weighted Loss
  This paper explores the application of a simple weighted loss function to Transformer-based models for multi-label emotion detection in SemEval-2025 Shared Task 11. Our approach addresses data imbalance by dynamically adjusting class weights, thereby enhancing…
  arxiv Xia Cui 2025-07-15T14:53:33Z 置信度 0.78 cs.CL
• Personality-Enhanced Multimodal Depression Detection in the Elderly
  This paper presents our solution to the Multimodal Personality-aware Depression Detection (MPDD) challenge at ACM MM 2025. We propose a multimodal depression detection model in the Elderly that incorporates personality characteristics. We introduce a multi-fea…
  arxiv Honghong Wang, Jing Deng, Rong Zheng 2025-10-09T09:41:51Z 置信度 0.78 cs.SDcs.MMeess.AS
• Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling
  Training vision-language models on cognitively-plausible amounts of data requires rethinking how models integrate multimodal information. Within the constraints of the Vision track for the BabyLM Challenge 2025, we propose a lightweight decoder-based architect…
  arxiv Bianca-Mihaela Ganescu, Suchir Salhan, Andrew Caines, Paula Buttery 2025-10-09T17:10:36Z 置信度 0.78 cs.AIcs.CLcs.LG
• ECFA Higgs, electroweak, and top Factory Study
  The ECFA Higgs, electroweak, and top Factory Study ran between 2021 and 2025 as a broad effort across the experimental and theoretical particle physics communities, bringing together participants from many different proposed future collider projects. Activitie…
  arxiv H. Abidi, J. A. Aguilar-Saavedra, S. Airen, S. Ajmal 等 2025-06-18T12:05:45Z 置信度 0.78 hep-exhep-ph
• Optimistic MEV in Ethereum Layer 2s: Why Blockspace Is Always in Demand
  Layer 2 rollups are rapidly absorbing DeFi activity, securing over $40 billion and accounting for nearly half of Ethereum's DEX volume by Q1 2025, yet their MEV dynamics remain understudied. We address this gap by defining and quantifying optimistic MEV, a for…
  arxiv Ozan Solmaz, Lioba Heimbach, Yann Vonlanthen, Roger Wattenhofer 2025-06-17T17:58:28Z 置信度 0.78 cs.CE
• Reviewing Scientific Papers for Critical Problems With Reasoning LLMs: Baseline Approaches and Automatic Evaluation
  Recent advancements in large language models have sparked interest in utilizing them to aid the peer review process of scientific publication amid the peer review crisis. However, having AI models generate full reviews in the same way as human reviewers risks …
  arxiv Tianmai M. Zhang, Neil F. Abernethy 2025-05-28T06:14:30Z 置信度 0.78 cs.CL
• Enhanced Multimodal Video Retrieval System: Integrating Query Expansion and Cross-modal Temporal Event Retrieval
  Multimedia information retrieval from videos remains a challenging problem. While recent systems have advanced multimodal search through semantic, object, and OCR queries - and can retrieve temporally consecutive scenes - they often rely on a single query moda…
  arxiv Van-Thinh Vo, Minh-Khoi Nguyen, Minh-Huy Tran, Anh-Quan Nguyen-Tran 等 2025-12-06T07:46:51Z 置信度 0.78 cs.IR
• Adaptive Financial Sentiment Analysis for NIFTY 50 via Instruction-Tuned LLMs , RAG and Reinforcement Learning Approaches
  Financial sentiment analysis plays a crucial role in informing investment decisions, assessing market risk, and predicting stock price trends. Existing works in financial sentiment analysis have not considered the impact of stock prices or market feedback on s…
  arxiv Chaithra, Kamesh Kadimisetty, Biju R Mohan 2025-12-23T06:27:12Z 置信度 0.78 cs.AI
• Baryon Number Violation: From Nuclear Matrix Elements to BSM Physics
  Processes that violate baryon number, most notably proton decay and $n\bar n$ transitions, are promising probes of physics beyond the Standard Model (BSM) needed to understand the lack of antimatter in the Universe. To interpret current and forthcoming experim…
  arxiv Leah J. Broussard, Andreas Crivellin, Martin Hoferichter, Sergey Syritsyn 等 2025-04-23T18:00:00Z 置信度 0.78 hep-phhep-exhep-latnucl-exnucl-th
• The Programmable Liquid-crystal Active Coronagraphic Imager for the 4-m DAG telescope (PLACID) instrument: installation and commissioning update
  The Programmable Liquid-crystal Active Coronagraphic Imager for the DAG telescope (PLACID) instrument is a novel high-contrast direct imaging facility that was recently installed on the new Turkish 4-m DAG telescope. In brief, PLACID consists in a fore-optics …
  arxiv Jonas G. Kühn, Ruben Tandon, Lucas Marquis, Liurong Lin 等 2025-10-27T13:52:57Z 置信度 0.78 astro-ph.IM
• The Pierre Auger Observatory: Contributions to the 39th International Cosmic Ray Conference (ICRC 2025)
  The Pierre Auger Observatory, located in La Pampa Amarilla, Argentina, has been continuously acquiring data since 2004. It comprises a surface detector array covering 3,000 km$^2$ and 27 fluorescence telescopes, designed to detect extensive air showers initiat…
  arxiv The Pierre Auger Collaboration, A. Abdul Halim, P. Abreu, M. Aglietta 等 2025-07-18T09:28:16Z 置信度 0.78 astro-ph.HEastro-ph.IM
• Team QUST at SemEval-2025 Task 10: Evaluating Large Language Models in Multiclass Multi-label Classification of News Entity Framing
  This paper describes the participation of QUST_NLP in the SemEval-2025 Task 7. We propose a three-stage retrieval framework specifically designed for fact-checked claim retrieval. Initially, we evaluate the performance of several retrieval models and select th…
  arxiv Jiyan Liu, Youzheng Liu, Taihang Wang, Xiaoman Xu 等 2025-06-12T07:09:35Z 置信度 0.78 cs.CLcs.AI
• IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting
  Accurate electricity load forecasting is essential for grid stability, resource optimization, and renewable energy integration. While transformer-based deep learning models like TimeGPT have gained traction in time-series forecasting, their effectiveness in lo…
  arxiv Millend Roy, Vladimir Pyltsov, Yinbo Hu 2025-05-16T15:55:34Z 置信度 0.78 cs.LGecon.EMeess.SY
• Implementation and Brief Experimental Analysis of the Duan et al. (2025) Algorithm for Single-Source Shortest Paths
  We present an implementation and experimental analysis of the deterministic algorithm proposed by Duan et al. (2025) for the Single-Source Shortest Path (SSSP) problem, which achieves the best-known asymptotic upper bound of $O(m \log^{2/3} n)$. We provide a w…
  arxiv Lucas Castro, Thailsson Clementino, Rosiane de Freitas 2025-11-04T21:18:44Z 置信度 0.78 cs.DS
• AKCIT-FN at CheckThat! 2025: Switching Fine-Tuned SLMs and LLM Prompting for Multilingual Claim Normalization
  Claim normalization, the transformation of informal social media posts into concise, self-contained statements, is a crucial step in automated fact-checking pipelines. This paper details our submission to the CLEF-2025 CheckThat! Task~2, which challenges syste…
  arxiv Fabrycio Leite Nakano Almada, Kauan Divino Pouso Mariano, Maykon Adriell Dutra, Victor Emanuel da Silva Monteiro 等 2025-09-15T01:19:49Z 置信度 0.78 cs.CL
• Examining and Adapting Time for Multilingual Classification via Mixture of Temporal Experts
  Time is implicitly embedded in classification process: classifiers are usually built on existing data while to be applied on future data whose distributions (e.g., label and token) may change. However, existing state-of-the-art classification models merely con…
  arxiv Weisi Liu, Guangzeng Han, Xiaolei Huang 2025-02-12T22:30:18Z 置信度 0.78 cs.CL
• Logits-Constrained Framework with RoBERTa for Ancient Chinese NER
  This paper presents a Logits-Constrained (LC) framework for Ancient Chinese Named Entity Recognition (NER), evaluated on the EvaHan 2025 benchmark. Our two-stage model integrates GujiRoBERTa for contextual encoding and a differentiable decoding mechanism to en…
  arxiv Wenjie Hua, Shenghan Xu 2025-05-05T19:23:16Z 置信度 0.78 cs.CL
• Open-Set Source Tracing of Audio Deepfake Systems
  Existing research on source tracing of audio deepfake systems has focused primarily on the closed-set scenario, while studies that evaluate open-set performance are limited to a small number of unseen systems. Due to the large number of emerging audio deepfake…
  arxiv Nicholas Klein, Hemlata Tak, Elie Khoury 2025-07-09T01:03:36Z 置信度 0.78 eess.AScs.SD
• ReCap: Event-Aware Image Captioning with Article Retrieval and Semantic Gaussian Normalization
  Image captioning systems often produce generic descriptions that fail to capture event-level semantics which are crucial for applications like news reporting and digital archiving. We present ReCap, a novel pipeline for event-enriched image retrieval and capti…
  arxiv Thinh-Phuc Nguyen, Thanh-Hai Nguyen, Gia-Huy Dinh, Lam-Huy Nguyen 等 2025-09-01T08:48:33Z 置信度 0.78 cs.CV
• Pose-Based Sign Language Spotting via an End-to-End Encoder Architecture
  Automatic Sign Language Recognition (ASLR) has emerged as a vital field for bridging the gap between deaf and hearing communities. However, the problem of sign-to-sign retrieval or detecting a specific sign within a sequence of continuous signs remains largely…
  arxiv Samuel Ebimobowei Johnny, Blessed Guda, Emmanuel Enejo Aaron, Assane Gueye 2025-12-09T15:49:23Z 置信度 0.78 cs.CVcs.CL
• Hybrid Gaussian Splatting for Novel Urban View Synthesis
  This paper describes the Qualcomm AI Research solution to the RealADSim-NVS challenge, hosted at the RealADSim Workshop at ICCV 2025. The challenge concerns novel view synthesis in street scenes, and participants are required to generate, starting from car-cen…
  arxiv Mohamed Omran, Farhad Zanjani, Davide Abati, Jens Petersen 等 2025-10-14T09:09:13Z 置信度 0.78 cs.CV
• Machine Learning-Based Analysis of ECG and PCG Signals for Rheumatic Heart Disease Detection: A Scoping Review (2015-2025)
  AI-powered stethoscopes offer a promising alternative for screening rheumatic heart disease (RHD), particularly in regions with limited diagnostic infrastructure. Early detection is vital, yet echocardiography, the gold standard tool, remains largely inaccessi…
  arxiv Damilare Emmanuel Olatunji, Julius Dona Zannu, Carine Pierrette Mukamakuza, Godbright Nixon Uiso 等 2025-05-17T11:34:02Z 置信度 0.78 eess.SPcs.LG
• Instruction-augmented Multimodal Alignment for Image-Text and Element Matching
  With the rapid advancement of text-to-image (T2I) generation models, assessing the semantic alignment between generated images and text descriptions has become a significant research challenge. Current methods, including those based on Visual Question Answerin…
  arxiv Xinli Yue, JianHui Sun, Junda Lu, Liangchao Yao 等 2025-04-16T12:21:49Z 置信度 0.78 cs.CV
• Tabular foundation model for GEOAI benchmark problems BM/AirportSoilProperties/2/2025
  This paper presents a novel application of the Tabular Prior-Data Fitted Network (TabPFN) - a transformer-based foundation model for tabular data - to geotechnical site characterization problems defined in the GEOAI benchmark BM/AirportSoilProperties/2/2025. T…
  arxiv Taiga Saito, Yu Otake, Stephen Wu 2025-09-03T10:21:18Z 置信度 0.78 cs.LG
• PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
  Multi-objective test-time alignment aims to adapt large language models (LLMs) to diverse multi-dimensional user preferences during inference while keeping LLMs frozen. Recently, GenARM (Xu et al., 2025) first independently trains Autoregressive Reward Models …
  arxiv Baijiong Lin, Weisen Jiang, Yuancheng Xu, Hao Chen 等 2025-05-06T15:42:31Z 置信度 0.78 cs.LGcs.AI
• Memory Mosaics at scale
  Memory Mosaics [Zhang et al., 2025], networks of associative memories, have demonstrated appealing compositional and in-context learning capabilities on medium-scale networks (GPT-2 scale) and synthetic small datasets. This work shows that these favorable prop…
  arxiv Jianyu Zhang, Léon Bottou 2025-07-04T04:23:03Z 置信度 0.78 cs.AI
• Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning
  Spatial reasoning in large-scale 3D environments such as warehouses remains a significant challenge for vision-language systems due to scene clutter, occlusions, and the need for precise spatial understanding. Existing models often struggle with generalization…
  arxiv Tanner Muturi, Blessing Agyei Kyem, Joshua Kofi Asamoah, Neema Jakisa Owor 等 2025-10-13T22:51:20Z 置信度 0.78 cs.CV
• MM-Gesture: Towards Precise Micro-Gesture Recognition through Multimodal Fusion
  In this paper, we present MM-Gesture, the solution developed by our team HFUT-VUT, which ranked 1st in the micro-gesture classification track of the 3rd MiGA Challenge at IJCAI 2025, achieving superior performance compared to previous state-of-the-art methods.…
  arxiv Jihao Gu, Fei Wang, Kun Li, Yanyan Wei 等 2025-07-11T06:45:42Z 置信度 0.78 cs.CV
• A Joint Multitask Model for Morpho-Syntactic Parsing
  We present a joint multitask model for the UniDive 2025 Morpho-Syntactic Parsing shared task, where systems predict both morphological and syntactic analyses following novel UD annotation scheme. Our system uses a shared XLM-RoBERTa encoder with three speciali…
  arxiv Demian Inostroza, Mel Mistica, Ekaterina Vylomova, Chris Guest 等 2025-08-19T23:09:36Z 置信度 0.78 cs.CL
• Can Performant LLMs Be Ethical? Quantifying the Impact of Web Crawling Opt-Outs
  The increasing adoption of web crawling opt-outs by copyright holders of online content raises critical questions about the impact of data compliance on large language model (LLM) performance. However, little is known about how these restrictions (and the resu…
  arxiv Dongyang Fan, Vinko Sabolčec, Matin Ansaripour, Ayush Kumar Tarun 等 2025-04-08T17:08:06Z 置信度 0.78 cs.CLcs.LG
• Global propagation of analyticity and unique continuation for semilinear conservative PDEs
  We review some recent results in which we develop a new method for proving global unique continuation for some conservative PDEs. The main tool is to prove some global propagation of analyticity. We first present some known results on the subject. Then, we ske…
  arxiv Camille Laurent, Cristóbal Loyola 2026-02-11T17:26:11Z 置信度 0.78 math.AP
• Enhancing Vision-Language Models for Autonomous Driving through Task-Specific Prompting and Spatial Reasoning
  This technical report presents our solution for the RoboSense Challenge at IROS 2025, which evaluates Vision-Language Models (VLMs) on autonomous driving scene understanding across perception, prediction, planning, and corruption detection tasks. We propose a …
  arxiv Aodi Wu, Xubo Luo 2025-10-28T07:43:30Z 置信度 0.78 cs.CVcs.AI
• MSA at SemEval-2025 Task 3: High Quality Weak Labeling and LLM Ensemble Verification for Multilingual Hallucination Detection
  This paper describes our submission for SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes. The task involves detecting hallucinated spans in text generated by instruction-tuned Large L…
  arxiv Baraa Hikal, Ahmed Nasreldin, Ali Hamdi 2025-05-27T08:26:17Z 置信度 0.78 cs.CL
• BoN Appetit Team at LeWiDi-2025: Best-of-N Test-time Scaling Can Not Stomach Annotation Disagreements (Yet)
  Test-time scaling is a family of techniques to improve LLM outputs at inference time by performing extra computation. To the best of our knowledge, test-time scaling has been limited to domains with verifiably correct answers, like mathematics and coding. We t…
  arxiv Tomas Ruiz, Siyao Peng, Barbara Plank, Carsten Schwemmer 2025-10-14T13:43:08Z 置信度 0.78 cs.CLcs.AI
• FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages
  This paper presents the winning submission of the RaaVa team to the AmericasNLP 2025 Shared Task 3 on Automatic Evaluation Metrics for Machine Translation (MT) into Indigenous Languages of America, where our system ranked first overall based on average Pearson…
  arxiv Rahul Raja, Arpita Vats 2025-03-28T06:58:55Z 置信度 0.78 cs.CL
• Fast PINN Eigensolvers via Biconvex Reformulation
  Eigenvalue problems have a distinctive forward-inverse structure and are fundamental to characterizing a system's thermal response, stability, and natural modes. Physics-Informed Neural Networks (PINNs) offer a mesh-free alternative for solving such problems b…
  arxiv Akshay Sai Banderwaar, Abhishek Gupta 2025-11-02T04:04:54Z 置信度 0.78 cs.LGcs.AIcs.NE
• Speak & Improve Challenge 2025: Tasks and Baseline Systems
  This paper presents the "Speak & Improve Challenge 2025: Spoken Language Assessment and Feedback" -- a challenge associated with the ISCA SLaTE 2025 Workshop. The goal of the challenge is to advance research on spoken language assessment and feedback, with…
  arxiv Mengjie Qian, Kate Knill, Stefano Banno, Siyuan Tang 等 2024-12-16T17:05:18Z 置信度 0.78 cs.CL
• What Makes a Good Natural Language Prompt?
  As large language models (LLMs) have progressed towards more human-like and human--AI communications have become prevalent, prompting has emerged as a decisive component. However, there is limited conceptual consensus on what exactly quantifies natural languag…
  arxiv Do Xuan Long, Duy Dinh, Ngoc-Hai Nguyen, Kenji Kawaguchi 等 2025-06-07T23:19:27Z 置信度 0.78 cs.CL
• Improving Small Drone Detection Through Multi-Scale Processing and Data Augmentation
  Detecting small drones, often indistinguishable from birds, is crucial for modern surveillance. This work introduces a drone detection methodology built upon the medium-sized YOLOv11 object detection model. To enhance its performance on small targets, we imple…
  arxiv Rayson Laroca, Marcelo dos Santos, David Menotti 2025-04-27T20:06:55Z 置信度 0.78 cs.CV
• A Critical Analysis of Affirmative Action and Academic Performance: A Response to the Preprint Authored by Matheus et al. (2025)
  This article offers a critical response to the preprint by Matheus et al. (2025), which evaluates the academic performance of students admitted through different entry routes at Sao Paulo State University. Although the dataset compiled by the authors is valuab…
  arxiv Claudio Andre Barbosa de Lira, Ricardo Borges Viana 2025-12-02T14:55:02Z 置信度 0.78 physics.ed-ph
• Non-native Children's Automatic Speech Assessment Challenge (NOCASA)
  This paper presents the "Non-native Children's Automatic Speech Assessment" (NOCASA) - a data competition part of the IEEE MLSP 2025 conference. NOCASA challenges participants to develop new systems that can assess single-word pronunciations of young second la…
  arxiv Yaroslav Getman, Tamás Grósz, Mikko Kurimo, Giampiero Salvi 2025-04-29T11:59:08Z 置信度 0.78 cs.CLeess.AS
• CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models
  Vision-Language Models (VLMs) excel across diverse tasks but suffer from high inference costs in time and memory. Token sparsity mitigates inefficiencies in token usage, while neuron sparsity reduces high-dimensional computations, both offering promising solut…
  arxiv Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu 等 2025-05-25T17:16:34Z 置信度 0.78 cs.LGcs.CV
• DICE: Data Influence Cascade in Decentralized Learning
  Decentralized learning offers a promising approach to crowdsource data consumptions and computational workloads across geographically distributed compute interconnected through peer-to-peer networks, accommodating the exponentially increasing demands. However,…
  arxiv Tongtian Zhu, Wenhao Li, Can Wang, Fengxiang He 2025-07-09T15:13:44Z 置信度 0.78 cs.LGcs.DCcs.MAcs.SIstat.ML
• Evaluating Large Language Models on the Spanish Medical Intern Resident (MIR) Examination 2024/2025:A Comparative Analysis of Clinical Reasoning and Knowledge Application
  This study presents a comparative evaluation of 22 large language models LLMs on the Spanish Medical Intern Resident MIR examinations for 2024 and 2025 with a focus on clinical reasoning domain specific expertise and multimodal processing capabilities The MIR …
  arxiv Carlos Luengo Vera, Ignacio Ferro Picon, M. Teresa del Val Nunez, Jose Andres Gomez Gandia 等 2025-02-24T12:08:26Z 置信度 0.78 cs.CLcs.AI
• QU-NLP at CheckThat! 2025: Multilingual Subjectivity in News Articles Detection using Feature-Augmented Transformer Models with Sequential Cross-Lingual Fine-Tuning
  This paper presents our approach to the CheckThat! 2025 Task 1 on subjectivity detection, where systems are challenged to distinguish whether a sentence from a news article expresses the subjective view of the author or presents an objective view on the covere…
  arxiv Mohammad AL-Smadi 2025-07-01T13:39:59Z 置信度 0.78 cs.CL
• Team Xiaomi EV-AD VLA: Caption-Guided Retrieval System for Cross-Modal Drone Navigation -- Technical Report for IROS 2025 RoboSense Challenge Track 4
  Cross-modal drone navigation remains a challenging task in robotics, requiring efficient retrieval of relevant images from large-scale databases based on natural language descriptions. The RoboSense 2025 Track 4 challenge addresses this challenge, focusing on …
  arxiv Lingfeng Zhang, Erjia Xiao, Yuchen Zhang, Haoxiang Fu 等 2025-10-03T05:13:19Z 置信度 0.78 cs.RO
• Solutions with expanding compact support of saturated Schr{ö}dinger equations: self-similar solutions
  We prove the existence of solutions \(u(t,x)\) of the Schr{ö}dinger equation with a saturation nonlinear term \((u/|u|)\) having compact support, for each \(t>0,\) that expands with a growth law of the type \(C\sqrt{t}\). The primary tool is considering the…
  arxiv Pascal Bégout, Jesus Ildefonso Diaz 2025-06-05T07:14:50Z 置信度 0.78 math.AP
• An Empirical Inquiry into Surveillance Capitalism: Web Tracking
  The modern web is increasingly characterized by the pervasiveness of Surveillance Capitalism. This investigation employs an empirical approach to examine this phenomenon through the web tracking practices of major tech companies -- specifically Google, Apple, …
  arxiv Nils Bonfils 2025-08-10T18:46:43Z 置信度 0.78 cs.CY
• The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning
  Reinforcement learning with verifiable rewards (RLVR) is a promising approach for training language models (LMs) on reasoning tasks that elicit emergent long chains of thought (CoTs). Unlike supervised learning, it updates the model using both correct and inco…
  arxiv Xinyu Zhu, Mengzhou Xia, Zhepei Wei, Wei-Lin Chen 等 2025-06-02T06:10:54Z 置信度 0.78 cs.CLcs.LG
• Evaluating Morphological Alignment of Tokenizers in 70 Languages
  While tokenization is a key step in language modeling, with effects on model training and performance, it remains unclear how to effectively evaluate tokenizer quality. One proposed dimension of tokenizer quality is the extent to which tokenizers preserve ling…
  arxiv Catherine Arnett, Marisa Hudspeth, Brendan O'Connor 2025-07-08T20:32:26Z 置信度 0.78 cs.CL
• Rethinking scale in network neuroscience: Contributions and opportunities at the nanoscale
  Network science has been applied widely to study brain network organization, especially at the meso-scale, where nodes represent brain areas and edges reflect interareal connectivity inferred from imaging or tract-tracing data. While this approach has yielded …
  arxiv Richard Betzel, Caio Seguin, Maria Grazia Puxeddu 2025-08-22T19:37:47Z 置信度 0.78 q-bio.NC
• Talk Less, Call Right: Enhancing Role-Play LLM Agents with Automatic Prompt Optimization and Role Prompting
  This report investigates approaches for prompting a tool-augmented large language model (LLM) to act as a role-playing dialogue agent in the API track of the Commonsense Persona-grounded Dialogue Challenge (CPDC) 2025. In this setting, dialogue agents often pr…
  arxiv Saksorn Ruangtanusak, Pittawat Taveekitworachai, Kunat Pipatanakul 2025-08-30T12:45:36Z 置信度 0.78 cs.CLcs.AIcs.HC
• Dark-state photonic entanglement filters
  Preserving entanglement in the presence of decoherence remains a major challenge for quantum technologies. Recent proposals [M.A. Selim et al., Science 387, 1424 (2025)] have employed photonic filters based on anti-parity-time symmetry to recover certain entan…
  arxiv Stefano Longhi 2025-07-17T11:45:09Z 置信度 0.78 quant-phphysics.optics
• Wildfire Detection Using Vision Transformer with the Wildfire Dataset
  The critical need for sophisticated detection techniques has been highlighted by the rising frequency and intensity of wildfires in the US, especially in California. In 2023, wildfires caused 130 deaths nationwide, the highest since 1990. In January 2025, Los …
  arxiv Gowtham Raj Vuppari, Navarun Gupta, Ahmed El-Sayed, Xingguo Xiong 2025-05-23T02:08:28Z 置信度 0.78 cs.CVcs.AI
• Technical Report for ICRA 2025 GOOSE 2D Semantic Segmentation Challenge: Boosting Off-Road Segmentation via Photometric Distortion and Exponential Moving Average
  We report on the application of a high-capacity semantic segmentation pipeline to the GOOSE 2D Semantic Segmentation Challenge for unstructured off-road environments. Using a FlashInternImage-B backbone together with a UPerNet decoder, we adapt established tec…
  arxiv Wonjune Kim, Lae-kyoung Lee, Su-Yong An 2025-05-17T00:29:17Z 置信度 0.78 cs.CV
• AD-GS: Alternating Densification for Sparse-Input 3D Gaussian Splatting
  3D Gaussian Splatting (3DGS) has shown impressive results in real-time novel view synthesis. However, it often struggles under sparse-view settings, producing undesirable artifacts such as floaters, inaccurate geometry, and overfitting due to limited observati…
  arxiv Gurutva Patle, Nilay Girgaonkar, Nagabhushan Somraj, Rajiv Soundararajan 2025-09-13T23:05:49Z 置信度 0.78 cs.GRcs.CV
• Acoustically Precise Hesitation Tagging Is Essential for End-to-End Verbatim Transcription Systems
  Verbatim transcription for automatic speaking assessment demands accurate capture of disfluencies, crucial for downstream tasks like error analysis and feedback. However, many ASR systems discard or generalize hesitations, losing important acoustic details. We…
  arxiv Jhen-Ke Lin, Hao-Chien Lu, Chung-Chun Wang, Hong-Yun Lin 等 2025-06-04T15:41:53Z 置信度 0.78 cs.CLcs.SDeess.AS
• Exploiting Ensemble Learning for Cross-View Isolated Sign Language Recognition
  In this paper, we present our solution to the Cross-View Isolated Sign Language Recognition (CV-ISLR) challenge held at WWW 2025. CV-ISLR addresses a critical issue in traditional Isolated Sign Language Recognition (ISLR), where existing datasets predominantly…
  arxiv Fei Wang, Kun Li, Yiqi Nie, Zhangling Duan 等 2025-02-04T10:21:28Z 置信度 0.78 cs.CVcs.AI
• Improving Perceptual Audio Aesthetic Assessment via Triplet Loss and Self-Supervised Embeddings
  We present a system for automatic multi-axis perceptual quality prediction of generative audio, developed for Track 2 of the AudioMOS Challenge 2025. The task is to predict four Audio Aesthetic Scores--Production Quality, Production Complexity, Content Enjoyme…
  arxiv Dyah A. M. G. Wisnu, Ryandhimas E. Zezario, Stefano Rini, Hsin-Min Wang 等 2025-09-03T13:19:56Z 置信度 0.78 eess.AScs.LGcs.SD
• Mind Meets Space: Rethinking Agentic Spatial Intelligence from a Neuroscience-inspired Perspective
  Recent advances in agentic AI have led to systems capable of autonomous task execution and language-based reasoning, yet their spatial reasoning abilities remain limited and underexplored, largely constrained to symbolic and sequential processing. In contrast,…
  arxiv Bui Duc Manh, Soumyaratna Debnath, Zetong Zhang, Shriram Damodaran 等 2025-09-11T05:23:22Z 置信度 0.78 cs.AIcs.CV
• Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience
  Autonomous AI is no longer a hard-to-reach concept, it enables the agents to move beyond executing tasks to independently addressing complex problems, adapting to change while handling the uncertainty of the environment. However, what makes the agents truly au…
  arxiv Zinan Liu, Haoran Li, Jingyi Lu, Gaoyuan Ma 等 2025-05-07T14:25:46Z 置信度 0.78 q-bio.NCcs.LG
• IPS Lower Bounds for Formulas and Sum of ROABPs
  We give new lower bounds for the fragments of the Ideal Proof System (IPS) introduced by Grochow and Pitassi (JACM 2018). The Ideal Proof System is a central topic in algebraic proof complexity developed in the context of Nullstellensatz refutation (Beame, Imp…
  arxiv Prerona Chatterjee, Utsab Ghosal, Partha Mukhopadhyay, Amit Sinhababu 2025-07-13T06:59:55Z 置信度 0.78 cs.CC
• Reinforcement learning in artificial intelligence and neurobiology
  Reinforcement learning (RL), a computational framework rooted in behavioral psychology, enables agents to learn optimal actions through trial and error. It now powers intelligent systems across domains such as autonomous driving, robotics, and logistics, solvi…
  crossref Tursun Alkam, Andrew H Van Benschoten, Ebrahim Tarshizi 2025-07-22T06:52:06Z 置信度 0.70
• Endogenously generated patterns of neural activity sculpt axon connectivity
  Neural activity is crucial in establishing functional circuit connectivity in the central nervous system. Prior to the onset of sensory experience, sensory organs spontaneously generate patterned neural activity, which is essential for sculpting and refining i…
  crossref Naoyuki Matsumoto 2025-05-17T14:52:29Z 置信度 0.70
• Effects of chronic high-intensity white noise on male vs female rats' spatial memory
  crossref N. Pochkhidze 2025-03-17T14:18:19Z 置信度 0.70
• Essential Neuroscience for Psychiatrists
  Neuroscience is increasingly understood to ground the practice of psychiatry, but clinicians can be overwhelmed by the competing facts and unfamiliar approaches utilised. This book provides key, up-to-date findings in neuroscience, and their relevance to clini…
  crossref 2025-03-12T00:05:26Z 置信度 0.70
• The Neuroscience of Language
  The Neuroscience of Language offers a remarkably accessible introduction to language in the mind and brain. Following the chain of communication from speaker to listener, it covers all fundamental concepts from speech production to auditory processing, speech …
  crossref Jonathan E. Peelle 2025-04-17T00:06:56Z 置信度 0.70
• Human-written vs. ChatGPT-generated manuscripts: Suggestions for further consideration
  crossref Shigeki Matsubara 2025-03-11T08:31:27Z 置信度 0.70
• Erratum
  crossref 2025-07-28T20:07:51Z 置信度 0.70
• “Current and emerging drug therapies in Alzheimer’s disease: A pathophysiological Perspective”
  The analytical and experimental investigation of several targets and biomarkers that help in explaining significant cognitive deficits, covering drug development and precision medicine aimed at different chronic neurodegenerative conditions such as Alzheimer's…
  crossref Aparajita Aparajita, Unnati Jain, Priyanka Srivastava 2024-12-09T17:05:53Z 置信度 0.70
• Correction to ‘Rethinking Dopamine‐Guided Action Sequence Learning’
  Song, M. R., and S. W. Lee. 2024. “ Rethinking Dopamine-Guided Action Sequence Learning.” European Journal of Neuroscience 60, no. 1: 3447–3465. https://doi.org/10.1111/ejn.16426. In the paper by Song and Lee (2024), the grant number regarding the funding from…
  crossref 2025-02-03T18:38:06Z 置信度 0.70
• Giant sphenoidal meningoencephalocele herniating into the nasal cavity
  crossref Hayri Ogul, Okan Cakir 2025-08-15T06:51:42Z 置信度 0.70
• Neuroscience-informed nomogram model for early prediction of cognitive impairment in Parkinson's disease
  Cognitive impairment is a common non-motor symptom of Parkinson's disease (PD), significantly affecting patients' quality of life and posing challenges for clinical management. Early prediction of cognitive decline in PD is critical for timely diagnosis and in…
  crossref Sudharshan Putha, Swaroop Reddy Gayam, Bhavani Prasad Kasaraneni, Krishna Kanth Kondapaka 等 2025-02-18T18:23:12Z 置信度 0.70
• Computers, meaning, and consciousness
  Abstract This paper uses simple arguments to derive a negative conclusion: that a computer cannot be conscious. If the brain is only a neural computer, brains cannot be conscious. Consciousness implies that there is something else happening in the brain, besid…
  crossref Robert Worden 2025-11-25T13:00:58Z 置信度 0.70
• Rescuing cognitive dysfunction in a mouse model of hippocampal demyelination
  crossref Olamide Adebiyi, Fatiha Chigr, Rachid Lotfi, Samir Ahboucha 2025-08-06T20:13:47Z 置信度 0.70
• Giant brain Stone: Calcifying pseudoneoplasm of the neuraxis (CAPNON)
  crossref Ajay Jhajharia, Sumit Thakar 2024-12-26T17:07:03Z 置信度 0.70
• Aversive memory engrams in the hippocampus
  Negative episodic memories exert important control of behavioral responses during a real or anticipated threatening situation. Under pathological states, however, this control can extend to non-threatening scenarios. For example, pathological states of aversiv…
  crossref Julia Leschik 2025-04-18T11:22:00Z 置信度 0.70