📄 Paper Explainer

Recent cs.AI Papers from arXiv

• arXiv:2604.14116
  TREX: Automating LLM Fine-tuning via Agent-Driven Tree-based Exploration
  Zerun Ma, Guoqiang Wang, Xinchen Xie, et al.
  Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
• arXiv:2604.14032
  Hierarchical Reinforcement Learning with Runtime Safety Shielding for Power Grid Operation
  Gitesh Malik
  Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
• arXiv:2604.14004
  Memory Transfer Learning: How Memories are Transferred Across Domains in Coding Agents
  Kangsan Kim, Minki Kang, Taeil Kim, et al.
  Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
• arXiv:2604.13993
  Reward Design for Physical Reasoning in Vision-Language Models
  Derek Lilienthal, Manisha Mukherjee, Sameera Horawalavithana
  Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)
• arXiv:2604.13959
  [Emerging Ideas] Artificial Tripartite Intelligence: A Bio-Inspired, Sensor-First Architecture for Physical AI
  You Rim Choi, Subeom Park, Hyung-Sin Kim
  Artificial Intelligence (cs.AI)
• arXiv:2604.13940
  AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot
  Joydeep Biswas, Sheila Schoepp, Gautham Vasan, et al.
  Artificial Intelligence (cs.AI)
• arXiv:2604.13888
  GeoAgentBench: A Dynamic Execution Benchmark for Tool-Augmented Agents in Spatial Analysis
  Bo Yu, Cheng Yang, Dongyang Hou, et al.
  Artificial Intelligence (cs.AI)
• arXiv:2604.13812
  AlphaCNOT: Learning CNOT Minimization with Model-Based Planning
  Jacopo Cossio, Daniele Lizzio Bosco, Riccardo Romanello, et al.
  Artificial Intelligence (cs.AI); Quantum Physics (quant-ph)
• arXiv:2604.13759
  The cognitive companion: a lightweight parallel monitoring architecture for detecting and recovering from reasoning degradation in LLM agents
  Rafflesia Khan, Nafiul Islam Khan
  Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
• arXiv:2604.13757
  Rethinking AI Hardware: A Three-Layer Cognitive Architecture for Autonomous Agents
  Li Chen
  Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
• arXiv:2604.13694
  Weight Patching: Toward Source-Level Mechanistic Localization in LLMs
  Chenghao Sun, Chengsheng Zhang, Guanzheng Qin, et al.
  Artificial Intelligence (cs.AI)
• arXiv:2604.13531
  RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management
  Renqi Chen, Zeyin Tao, Jianming Guo, et al.
  Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
• arXiv:2604.13488
  Towards Scalable Lightweight GUI Agents via Multi-role Orchestration
  Ziwei Wang, Junjie Zheng, Leyang Yang, et al.
  Artificial Intelligence (cs.AI)
• arXiv:2604.13395
  Quantifying and Understanding Uncertainty in Large Reasoning Models
  Yangyi Li, Chenxu Zhao, Mengdi Huai
  Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
• arXiv:2604.13392
  ReSS: Learning Reasoning Models for Tabular Data Prediction via Symbolic Scaffold
  Chenlang Yi, Gang Li, Zizhan Xiong, et al.
  Artificial Intelligence (cs.AI)
• arXiv:2604.13348
  Listening Alone, Understanding Together: Collaborative Context Recovery for Privacy-Aware AI
  Tanmay Srivastava, Amartya Basu, Shubham Jain, et al.
  Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)
• arXiv:2604.13318
  WebXSkill: Skill Learning for Autonomous Web Agents
  Zhaoyang Wang, Qianhui Wu, Xuchao Zhang, et al.
  Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
• arXiv:2604.13283
  Optimizing Earth Observation Satellite Schedules under Unknown Operational Constraints: An Active Constraint Acquisition Approach
  Mohamed-Bachir Belaid
  Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
• arXiv:2604.13206
  Numerical Instability and Chaos: Quantifying the Unpredictability of Large Language Models
  Chashi Mahiul Islam, Alan Villarreal, Mao Nishino, et al.
  Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Numerical Analysis (math.NA)
• arXiv:2604.13180
  SciFi: A Safe, Lightweight, User-Friendly, and Fully Autonomous Agentic AI Workflow for Scientific Applications
  Qibin Liu, Julia Gonski
  Artificial Intelligence (cs.AI)
• arXiv:2604.13151
  Exploration and Exploitation Errors Are Measurable for Language Model Agents
  Jaden Park, Jungtaek Kim, Jongwon Jeong, et al.
  Artificial Intelligence (cs.AI)
• arXiv:2604.14142
  From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space
  Yuqiao Tan, Minzheng Wang, Bo Liu, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
• arXiv:2604.14140
  LongCoT: Benchmarking Long-Horizon Chain-of-Thought Reasoning
  Sumeet Ramesh Motwani, Daniel Nichols, Charles London, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2604.14137
  From Feelings to Metrics: Understanding and Formalizing How Users Vibe-Test LLMs
  Itay Itzhak, Eliya Habba, Gabriel Stanovsky, et al.
  Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
• arXiv:2604.14128
  Rhetorical Questions in LLM Representations: A Linear Probing Study
  Louie Hong Yao, Vishesh Anand, Yuan Zhuang, et al.
  Computation and Language (cs.CL); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)