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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18,421 to 18,480 of 27,751
CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments
Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan +6
cs.CLcs.AIarXiv:2411.02305v22024Engaging Image Captioning Via Personality
Kurt Shuster, Samuel Humeau, Hexiang Hu +2
cs.CVcs.AIcs.CLarXiv:1810.10665v22018Decouple Searching from Training: Scaling Data Mixing via Model Merging for Large Language Model Pre-training
Shengrui Li, Fei Zhao, Kaiyan Zhao +6
cs.CLcs.AIarXiv:2602.00747v32026Deep Learning for Iris Recognition: A Survey
Kien Nguyen, Hugo Proença, Fernando Alonso-Fernandez
cs.CVcs.AIarXiv:2210.05866v12022Zombie Agents: Persistent Control of Self-Evolving LLM Agents via Self-Reinforcing Injections
Xianglin Yang, Yufei He, Shuo Ji +2
cs.CRcs.AIarXiv:2602.15654v22026The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms
Adam Davies, Ashkan Khakzar
cs.AIarXiv:2408.05859v12024BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Wei Huang, Yangdong Liu, Haotong Qin +5
cs.LGcs.AIcs.CLarXiv:2402.04291v22024Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs
Sven Seuken, Shlomo Zilberstein
cs.AIarXiv:1206.5295v12012Guiding Pretraining in Reinforcement Learning with Large Language Models
Yuqing Du, Olivia Watkins, Zihan Wang +5
cs.LGcs.AIcs.CLarXiv:2302.06692v22023FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
Yichen Gong, Delong Ran, Jinyuan Liu +5
cs.CRcs.AIcs.CLarXiv:2311.05608v32023Beyond Imitation: Reinforcement Learning for Active Latent Planning
Zhi Zheng, Wee Sun Lee
cs.AIarXiv:2601.21598v12026Solving Imperfect-Information Games via Discounted Regret Minimization
Noam Brown, Tuomas Sandholm
cs.GTcs.AIarXiv:1809.04040v32018PICPIs: Prediction-Interval-Conditional Prediction Intervals
Xuelin Yang, Baihe Huang, Yilong Hou +2
stat.MLcs.AIcs.LGarXiv:2609.25388v12026Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces
Jing Wang, Shuaiqiang Liu, Cornelis Vuik
q-fin.CPcs.AIcs.LGarXiv:2609.00332v12026The Risks of Invariant Risk Minimization
Elan Rosenfeld, Pradeep Ravikumar, Andrej Risteski
cs.LGcs.AIstat.MLarXiv:2010.05761v22020Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
Zhuochun Li, Yong Zhang, Ming Li +8
cs.CLcs.AIcs.LGarXiv:2601.22588v22026LEAP: Likelihood Elicitation and Aggregation for LLM-based Probabilistic Forecasting
Yufei Chen, Yiran Zhao, Xiaogang Xu +3
cs.AIarXiv:2609.01337v12026Personalization as Inverse Planning: Learning Latent Design Intents for Agentic Slide Generation via Structural Denoising
Tianci Liu, Zihan Dong, Linjun Zhang +5
cs.AIarXiv:2607.00407v12026From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
Chen Shani, Liron Soffer, Dan Jurafsky +2
cs.CLcs.AIcs.ITarXiv:2505.17117v72025CDEG: Learning Decision-Critical Evidence for Long-Horizon Diagnostic Agents
Xiwei Dai, Zijie Meng, Zhiting Fan +3
cs.AIarXiv:2608.22899v12026Composite Monte Carlo Decision Making under High Uncertainty of Novel Coronavirus Epidemic Using Hybridized Deep Learning and Fuzzy Rule Induction
Simon James Fong, Gloria Li, Nilanjan Dey +2
cs.AIq-bio.PEarXiv:2003.09868v12020Art or Artifice? Large Language Models and the False Promise of Creativity
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal +2
cs.CLcs.AIcs.HCarXiv:2309.14556v32023GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM
Hao Kang, Qingru Zhang, Souvik Kundu +4
cs.LGcs.AIcs.CLarXiv:2403.05527v42024The MineRL BASALT Competition on Learning from Human Feedback
Rohin Shah, Cody Wild, Steven H. Wang +10
cs.LGcs.AIarXiv:2107.01969v12021CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
Mohammadreza Pourreza, Hailong Li, Ruoxi Sun +7
cs.LGcs.AIcs.CLarXiv:2410.01943v12024Summaries:简体中文Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration
Tyler Ga Wei Lum, Olivia Y. Lee, C. Karen Liu +1
cs.ROcs.AIarXiv:2504.12609v32025APEx: Distillation of Agent Procedural Experience for Adaptive Deep Research Question Answering
Jie Ding, Rui Sun, Xinyuan Zhang +2
cs.AIcs.CLarXiv:2609.02253v12026Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification
Zhenhailong Wang, Heng Ji
cs.AIarXiv:2112.02690v32021When Users Don't Ask: Benchmarking Context-Driven Memory Retrieval in Conversational Agents
Wen-Yu Chang, Yun-Nung Chen
cs.CLcs.AIarXiv:2609.03467v12026DeepMEL: A Multi-Agent Collaboration Framework for Multimodal Entity Linking
Fang Wang, Tianwei Yan, Zonghao Yang +4
cs.CLcs.AIcs.MAarXiv:2508.15876v12025General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping
Gabriel Ilharco, Vihan Jain, Alexander Ku +2
cs.ROcs.AIcs.CLarXiv:1907.05446v22019Human-like moral judgments conceal divergent motive attributions in large language models
Xiaoyan Wu, Jean-Claude Dreher
cs.AIcs.CYarXiv:2609.07353v12026InsertAnywhere: Geometrically Grounded and Optics-Aware Video Object Insertion
Hoiyeong Jin, Hyojin Jang, Junha Hyung +6
cs.CVcs.AIarXiv:2512.17504v22025Stop Drawing Scientific Claims from LLM Social Simulations Without Robustness Audits
Jinyi Ye, Lei Cao, Ding Chen +1
physics.soc-phcs.AIcs.CYarXiv:2605.18890v12026VirtualHome: Simulating Household Activities via Programs
Xavier Puig, Kevin Ra, Marko Boben +4
cs.CVcs.AIcs.LGarXiv:1806.07011v12018From FLOPs to Footprints: The Resource Cost of Artificial Intelligence
Sophia Falk, Nicholas Kluge Corrêa, Sasha Luccioni +2
cs.CYcs.AIecon.GNarXiv:2512.04142v12025Latent Adversarial Regularization for Offline Preference Optimization
Enyi Jiang, Yibo Jacky Zhang, Yinglun Xu +3
cs.LGcs.AIarXiv:2601.22083v22026Combinatorial Optimization with Physics-Inspired Graph Neural Networks
Martin J. A. Schuetz, J. Kyle Brubaker, Helmut G. Katzgraber
cs.LGcond-mat.dis-nncs.AIarXiv:2107.01188v22021CUA-Skill: Develop Skills for Computer Using Agent
Tianyi Chen, Yinheng Li, Michael Solodko +12
cs.AIarXiv:2601.21123v22026ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design
Zhongkai Yu, Chenyang Zhou, Yichen Lin +6
cs.AIcs.ARarXiv:2601.21448v22026CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation
Zhenyu Sun, Xiaohan Zhang, Qi Liu +1
cs.GRcs.AIarXiv:2607.03819v32026Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning
Michael Everett, Yu Fan Chen, Jonathan P. How
cs.ROcs.AIcs.LGarXiv:1805.01956v12018Co-Writing with Opinionated Language Models Affects Users' Views
Maurice Jakesch, Advait Bhat, Daniel Buschek +2
cs.HCcs.AIcs.CLarXiv:2302.00560v12023Adversarial Feature Learning
Jeff Donahue, Philipp Krähenbühl, Trevor Darrell
cs.LGcs.AIcs.CVarXiv:1605.09782v72016Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
Yulu Gan, Phillip Isola
cs.LGcs.AIarXiv:2603.12228v12026Maximum a Posteriori Policy Optimisation
Abbas Abdolmaleki, Jost Tobias Springenberg, Yuval Tassa +3
cs.LGcs.AIcs.ITarXiv:1806.06920v12018TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization
Lucheng Fu, Ye Yu, Yiyang Wang +4
cs.CLcs.AIcs.LGarXiv:2605.21318v22026Deep Reinforcement Learning with Model Learning and Monte Carlo Tree Search in Minecraft
Stephan Alaniz
cs.AIcs.LGstat.MLarXiv:1803.08456v12018Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen +7
cs.CYcs.AIcs.LGarXiv:2008.07343v42020When Agent Governance Helps
Michael Ray Johnson, Linda Naimi
cs.CLcs.AIcs.CYarXiv:2609.05531v12026Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Prasetya Ajie Utama, Nafise Sadat Moosavi, Victor Sanh +1
cs.CLcs.AIarXiv:2109.04144v12021Difficulty-Aware Sample Allocation for Adaptive Data Augmentation in Semantic Segmentation
Olasimbo Ayodeji Arigbabu, Abimbola Ismail Arigbabu
cs.CVcs.AIarXiv:2608.25710v12026Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
Matthias Hein, Maksym Andriushchenko
cs.LGcs.AIcs.CVarXiv:1705.08475v22017Distributed Autonomous Online Learning: Regrets and Intrinsic Privacy-Preserving Properties
Feng Yan, Shreyas Sundaram, S. V. N. Vishwanathan +1
cs.LGcs.AIarXiv:1006.4039v32010LongCoder: A Long-Range Pre-trained Language Model for Code Completion
Daya Guo, Canwen Xu, Nan Duan +2
cs.SEcs.AIcs.CLarXiv:2306.14893v12023Segment Any 3D Object with Language
Seungjun Lee, Yuyang Zhao, Gim Hee Lee
cs.CVcs.AIarXiv:2404.02157v12024Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez, Been Kim
stat.MLcs.AIcs.LGarXiv:1702.08608v22017Predicting Alignment Generalization with Value Representations
Andy Liu, Mehar Bhatia, Karolina Stanczak +3
cs.CLcs.AIcs.LGarXiv:2610.12410v12026daVinci-Dev: Agent-native Mid-training for Software Engineering
Ji Zeng, Dayuan Fu, Tiantian Mi +14
cs.SEcs.AIarXiv:2601.18418v22026NormFormer: Improved Transformer Pretraining with Extra Normalization
Sam Shleifer, Jason Weston, Myle Ott
cs.CLcs.AIarXiv:2110.09456v22021