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All Explained Papers · cs.AI

2114 papers in cs.AI. Page 7 of 106. ← Back to home

• arXiv:2608.18938 · cs.AI+1 · submitted 2026-08-19 · explained 2026-08-20
  Breaking the weakest link to evade vision language models
  Ilan Zini, Boussad Addad, Katarzyna Kapusta
• arXiv:2608.19002 · cs.AI · submitted 2026-08-19 · explained 2026-08-20
  A Theory of Post-hoc Debate Judgement
  Xiang Yin, Adam Dejl, Antonio Rago, et al.
• arXiv:2608.19025 · cs.AI+1 · submitted 2026-08-19 · explained 2026-08-20
  Self-prompting and cross-model consensus enable reproducible data extraction from scientific literature with large language models
  Valentin Romanov, Monique Bax, Steven Niederer
• arXiv:2608.19029 · cs.AI+2 · submitted 2026-08-19 · explained 2026-08-20
  Adaptive Memory and Reflection Multi-Agent System for Medical Question Answering
  Pradeep Murugesan, Luoxiao Yang, Xueli Chen, et al.
• arXiv:2608.19047 · cs.AI+1 · submitted 2026-08-19 · explained 2026-08-20
  Eureka: Task-Conditioned Meta-Agent Orchestration for Scientific Discovery
  Alizer Wong, Heng Cui, Yi Tan, et al.
• arXiv:2608.19072 · cs.AI+2 · submitted 2026-08-19 · explained 2026-08-20
  What is Missing from AI Post-Training AI: Empirical Analysis
  Joy Jia Yin Lim, Xin Huang, Hao Peng, et al.
• arXiv:2608.19073 · cs.AI+2 · submitted 2026-08-19 · explained 2026-08-20
  Robust Risk Under Evolving Uncertainty: A Wasserstein Counterpart of the Entropic Value-at-Risk
  Deep Kumar Ganguly, Jan Křetínský
• arXiv:2608.19125 · cs.AI+1 · submitted 2026-08-19 · explained 2026-08-20
  6mm Tuning the Stochastic Machine[1.5mm] A Systems Engineer's Operating Model for Human-AI Engineering-2mm
  George Andrikopoulos
• arXiv:2608.19140 · cs.AI+3 · submitted 2026-08-19 · explained 2026-08-20
  6mm Grouping the Stochastic Machine[1.5mm] Precision, Not Capability, as the Frontier Metric for AI Systems-2mm
  George Andrikopoulos
• arXiv:2608.19161 · cs.AI+1 · submitted 2026-08-19 · explained 2026-08-20
  Beyond the Transcript: Detecting Covert Coordination in Latent Multi-Agent Communication
  Ramneet Kaur, Pradyumna Chari, Ramesh Raskar, et al.
• arXiv:2607.14169 · cs.AI+1 · submitted 2026-07-15 · explained 2026-08-19
  When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models
  Javier Aguilar Martín
• arXiv:2607.05471 · cs.SE+1 · submitted 2026-07-06 · explained 2026-08-19
  KAT-Coder-V2.5 Technical Report
  Bo Huang, Fengxiang Li, Hao Xu, et al.
• arXiv:2605.27483 · cs.CL+2 · submitted 2026-05-26 · explained 2026-08-19
  Debate Helps Weak Judges Reward Stronger Models
  Ethan Elasky, Frank Nakasako, Naman Goyal
• arXiv:2605.03301 · cs.CL+1 · submitted 2026-05-05 · explained 2026-08-19
  SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification
  Jose D. Posada, David Love, Somalee Datta, et al.
• arXiv:2604.17121 · cs.LG+1 · submitted 2026-04-18 · explained 2026-08-19
  The Topological Trouble With Transformers
  Michael C. Mozer, Shoaib Ahmed Siddiqui, Rosanne Liu
• arXiv:2604.15149 · cs.LG+1 · submitted 2026-04-16 · explained 2026-08-19
  LLMs Gaming Verifiers: RLVR can Lead to Reward Hacking
  Lukas Helff, Quentin Delfosse, David Steinmann, et al.
• arXiv:2604.00842 · cs.AI+2 · submitted 2026-04-01 · explained 2026-08-19
  0.5~ Active Users to Evaluate Proactive Assistants
  Deepak Nathani, Cheng Zhang, Chang Huan, et al.
• arXiv:2603.22293 · cs.CL+2 · submitted 2026-03-11 · explained 2026-08-19
  TIPS: Turn-level Information-Potential Reward Shaping for Search-Augmented LLMs
  Yutao Xie, Nathaniel Thomas, Nicklas Hansen, et al.
• arXiv:2603.13023 · cs.SE+2 · submitted 2026-03-13 · explained 2026-08-19
  daVinci-Env: Open SWE Environment Synthesis at Scale
  Dayuan Fu, Shenyu Wu, Yunze Wu, et al.
• arXiv:2603.04370 · cs.AI+2 · submitted 2026-03-04 · explained 2026-08-19
  $$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge
  Quan Shi, Alexandra Zytek, Pedram Razavi, et al.