Artificial Intelligence
Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.
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10,921 to 10,980 of 15,416
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
Max Schäfer, Sarah Nadi, Aryaz Eghbali +1
cs.SEcs.AIarXiv:2302.06527v42023Exploit More, Explore Smarter for Budget-Constrained Agentic Search
Haoyang Fang, Bernie Wang
cs.AIcs.LGarXiv:2608.23848v12026Benchmarking Retrieval-Augmented Generation for Medicine
Guangzhi Xiong, Qiao Jin, Zhiyong Lu +1
cs.CLcs.AIarXiv:2402.13178v22024Serving Masked Diffusion LLMs: Characterization and Design Principles from Real Hardware
Farhana Amin, Sabiha Afroz, Mona Moghadampanah +1
cs.AIarXiv:2608.23807v12026T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
Tomas Hodan, Pavel Haluza, Stepan Obdrzalek +3
cs.CVcs.AIcs.ROarXiv:1701.05498v12017A Behavior-Guided Online Probabilistic Forecasting Method for Electric vehicle Charging Loads
Chenghan Li, Qingxiang Liu, Yinliang Xu +1
cs.AIarXiv:2608.24441v12026Do Spoken Language Models Hear Speech as They Read Text? Bridging Structural Gaps Between Speech and Text
Hyeonyu Kim, Hwayeon Kim, Youngwon Choi +2
cs.CLcs.AIarXiv:2608.22908v12026Function-Level Execution Feedback for Code Preference Optimization
Idris Nechnech, Sehwan Kim, Jimin Seo +4
cs.AIcs.SEarXiv:2608.23632v12026Machine Comprehension Using Match-LSTM and Answer Pointer
Shuohang Wang, Jing Jiang
cs.CLcs.AIarXiv:1608.07905v22016Agentic-MME: What Agentic Capability Really Brings to Multimodal Intelligence?
Qianshan Wei, Yishan Yang, Siyi Wang +12
cs.AIarXiv:2604.03016v12026Mathematical Capabilities of ChatGPT
Simon Frieder, Luca Pinchetti, Alexis Chevalier +5
cs.LGcs.AIcs.CLarXiv:2301.13867v22023LLMs are Few-Shot Decision-Makers: Generalized Context-Aware Microgrid Frequency Control through Prompt Decision Transformer
Xu Yang, Chenhui Lin, Haotian Liu +3
eess.SYcs.AIarXiv:2608.21858v12026Score-based diffusion models for accelerated MRI
Hyungjin Chung, Jong Chul Ye
eess.IVcs.AIcs.CVarXiv:2110.05243v32021LLM Agents Perform Controlled Experiments Using Simulation Models
Yuchen Xia, Michael Weyrich, Nasser Jazdi +6
cs.AIcs.CLcs.MAarXiv:2608.23622v12026Where World Models Break: Natural-Input Failure Discovery
Zhanpeng Shi, Zi Liang, Rong Feng +3
cs.AIarXiv:2608.22421v12026TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
Fengbin Zhu, Wenqiang Lei, Youcheng Huang +5
cs.CLcs.AIarXiv:2105.07624v22021How Much Regularization Survives Averaging? Update Masking in Federated Learning
Wenhao Yan, Fu Kuroda, Yucheng Jin +1
cs.LGcs.AIarXiv:2608.23286v22026Data Mixing as Mixture Experiment: Response Surface Methodology and Optimal Design for Large Language Model Pretraining
Yicheng Mao, Hongru Du
cs.AIstat.MLarXiv:2608.23922v12026Restoring Without Forgetting: Continual Learning Across Image Degradations
Alif Ashrafee, Bartosz Krawczyk
cs.CVcs.AIcs.LGarXiv:2608.23799v12026AI Agents Push Humans Out of the Loop
Margaret Mitchell, Avijit Ghosh, Samir Passi
cs.AIcs.HCarXiv:2608.23642v12026Beyond Static Interpretability: Anticipating Post-SFT Mechanisms from Pre-SFT Parameters for Better Tuning
Hang Chen, Jiaying Zhu, Wenya Wang
cs.LGcs.AIcs.CLarXiv:2608.24482v12026Simthesizer: An Agent-Driven Simulation Framework for LLM Serving Systems
Wonung Kim, Hyunmin Choi, Minsu Kim +3
cs.ARcs.AIarXiv:2608.24650v12026Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar, Prasanna Sattigeri, Avinash Balakrishnan
cs.LGcs.AIcs.CVarXiv:1711.00848v32017Predicting Radiologist Expertise from 3D Gaze Patterns During CT Interpretation
Leila Khaertdinova, Anna Anikina, Claudia Mello-Thoms +1
cs.CVcs.AIcs.LGarXiv:2608.23836v12026FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare
Jacob Idoko, Siddhartha Paudel, Mariana Bento +2
cs.AIarXiv:2608.23643v12026Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang, Rowan McAllister, Roberto Calandra +2
cs.LGcs.AIstat.MLarXiv:2006.10742v22020ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification
Xinjie Lin, Gang Xiong, Gaopeng Gou +3
cs.CRcs.AIcs.NIarXiv:2202.06335v22022PsychJail: Exploring Psychological Jailbreaks via Multi-Turn Persuasion of LLM Policies
Zeyu Feng, Qingyu Wu, Yuzhe Luo +1
cs.AIarXiv:2608.23028v12026API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs
Minghao Li, Yingxiu Zhao, Bowen Yu +6
cs.CLcs.AIarXiv:2304.08244v22023Counterfactual Visual Explanations
Yash Goyal, Ziyan Wu, Jan Ernst +3
cs.LGcs.AIcs.CVarXiv:1904.07451v22019SA-RSQ: A Versatile Sparse Representation Framework for Multi-modal Recommender Systems
Xiang Wang, Shigang Quan, Tingzhen Chang +5
cs.AIarXiv:2608.22979v22026Improving the matrix multiplication exponent with modern optimization and AlphaEvolve
Emilien Dupont, Marvin Eisenberger, Borislav Kozlovskii +7
cs.DScs.AIcs.CCarXiv:2608.16884v12026LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards
Nianyi Lin, Jiajie Zhang, Lei Hou +1
cs.CLcs.AIcs.LGarXiv:2605.31584v12026Segment Anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi +9
cs.CVcs.AIcs.LGarXiv:2304.02643v12023Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov, Dmitrii Podoprikhin, Timur Garipov +2
cs.LGcs.AIcs.CVarXiv:1803.05407v32018Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak, Pulkit Agrawal, Alexei A. Efros +1
cs.LGcs.AIcs.CVarXiv:1705.05363v12017Context Encoders: Feature Learning by Inpainting
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue +2
cs.CVcs.AIcs.GRarXiv:1604.07379v22016A Dual-Dimensional LLM Framework for Automated Item Incidental Content Similarity Analysis in Large-Scale Assessments
Jing Huang, Jihong Zhang, Hua-Hua Chang
cs.AIarXiv:2608.24825v12026Principles and Practice of Explainable Machine Learning
Vaishak Belle, Ioannis Papantonis
cs.LGcs.AIstat.MLarXiv:2009.11698v12020Expanding Explainability: Towards Social Transparency in AI systems
Upol Ehsan, Q. Vera Liao, Michael Muller +2
cs.HCcs.AIarXiv:2101.04719v12021WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Jongheon Jeong, Yang Zou, Taewan Kim +3
cs.CVcs.AIcs.CLarXiv:2303.14814v12023PlaceSeek: Human-Centered Geospatial Retrieval of Urban Outdoor Places via Semantic Grounding and Affective Alignment
Ziqi Cui, Shangyu Lou
cs.CVcs.AIcs.IRarXiv:2608.24133v12026Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers
Fred Hohman, Minsuk Kahng, Robert Pienta +1
cs.HCcs.AIcs.LGarXiv:1801.06889v32018Evolutionary Recurrent Decision Model in Developing Adaptive and Maladaptive Behaviors
Andrew Hu
cs.AIarXiv:2608.23932v12026Hybrid Semantic Tool Discovery for Enterprise MCP Gateway: Architecture and Implementation
Olympia Saha, Amy Wang, Srinivasan Manoharan
cs.IRcs.AIarXiv:2608.23992v12026Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
Patrick Schramowski, Manuel Brack, Björn Deiseroth +1
cs.CVcs.AIcs.LGarXiv:2211.05105v42022Neurosymbolic AI: The 3rd Wave
Artur d'Avila Garcez, Luis C. Lamb
cs.AIcs.LGarXiv:2012.05876v22020MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Linxi Fan, Guanzhi Wang, Yunfan Jiang +7
cs.LGcs.AIcs.CLarXiv:2206.08853v22022Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman +2
cs.AIcs.CLcs.CVarXiv:2310.04406v32023BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
Jwala Dhamala, Tony Sun, Varun Kumar +4
cs.CLcs.AIcs.LGarXiv:2101.11718v12021Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Natalia Díaz-Rodríguez, Javier Del Ser, Mark Coeckelbergh +3
cs.CYcs.AIcs.LGarXiv:2305.02231v22023A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
Jian Liang, Ran He, Tieniu Tan
cs.LGcs.AIcs.CVarXiv:2303.15361v22023Mechanistic Circuit Identification for Controllable Data Generation
Nakyung Lee, Sangwoo Hong, Jungwoo Lee
cs.LGcs.AIcs.CLarXiv:2608.24065v12026Do Transformers Really Perform Bad for Graph Representation?
Chengxuan Ying, Tianle Cai, Shengjie Luo +5
cs.LGcs.AIarXiv:2106.05234v52021Matched Excess-Outranker Regularization for Candidate-Set Interference in Continual Knowledge Graph Embedding
Hao Ren, Junbin Gao, Jiaojiao Jiang
cs.AIcs.DBcs.IRarXiv:2608.24273v12026Online Planning Algorithms for POMDPs
Stéphane Ross, Joelle Pineau, Sébastien Paquet +1
cs.AIarXiv:1401.3436v12014The DL-Lite Family and Relations
Alessandro Artale, Diego Calvanese, Roman Kontchakov +1
cs.LOcs.AIarXiv:1401.3487v12014A Practical Guide to Multi-Objective Reinforcement Learning and Planning
Conor F. Hayes, Roxana Rădulescu, Eugenio Bargiacchi +15
cs.AIcs.LGarXiv:2103.09568v12021GPT-4V(ision) is a Generalist Web Agent, if Grounded
Boyuan Zheng, Boyu Gou, Jihyung Kil +2
cs.IRcs.AIcs.CLarXiv:2401.01614v22024When Youth Enter The Chat: An Epistemic Shift in the Validation of LLM-Based Measures of Student Talk
Liliana Santos-Deonizio, James Malamut, Ramón Martínez +1
cs.CLcs.AIcs.HCarXiv:2608.23780v12026