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All Explained Papers · cs.AI

382 papers in cs.AI. Page 7 of 20. ← Back to home

• arXiv:2604.19998 · cs.AI · submitted 2026-04-21 · explained 2026-04-23
  What Makes a Good AI Review?-Level Diagnostics for AI Peer Review
  Ming Jin
• arXiv:2604.20039 · cs.AI+1 · submitted 2026-04-21 · explained 2026-04-23
  Separable Pathways for Causal Reasoning: Architectural Scaffolding Enables Hypothesis-Space Restructuring in LLM Agents
  John Alderete, Sebastian Benthal, Connie Xu, et al.
• arXiv:2604.20055 · cs.AI+1 · submitted 2026-04-21 · explained 2026-04-23
  From Fuzzy to Formal: Scaling Hospital Quality Improvement with AI
  Patrick Vossler, Jean Feng, Venkat Sivaraman, et al.
• arXiv:2604.20133 · cs.AI · submitted 2026-04-22 · explained 2026-04-23
  EvoAgent: An Evolvable Agent Framework with Skill Learning and Multi-Agent Delegation
  Aimin Zhang, Jiajing Guo, Fuwei Jia, et al.
• arXiv:2604.20140 · cs.AI+1 · submitted 2026-04-22 · explained 2026-04-23
  HiPO: Hierarchical Preference Optimization for Adaptive Reasoning in Large Language Models
  Darsh Kachroo, Adriana Caraeni, Arjun Prasaath Anbazhagan, et al.
• arXiv:2604.20158 · cs.AI · submitted 2026-04-22 · explained 2026-04-23
  Stateless Decision Memory for Enterprise AI Agents
  Vasundra Srinivasan
• arXiv:2604.20254 · cs.AI+1 · submitted 2026-04-22 · explained 2026-04-23
  Mol-Debate: Multi-Agent Debate Improves Structural Reasoning in Molecular Design
  Wengyu Zhang, Xiao-Yong Wei, Qing Li
• arXiv:2604.20261 · cs.AI · submitted 2026-04-22 · explained 2026-04-23
  Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data
  Fengxian Dong, Zhi Zheng, Xiao Han, et al.
• arXiv:2604.20273 · cs.AI+1 · submitted 2026-04-22 · explained 2026-04-23
  ActuBench: A Multi-Agent LLM Pipeline for Generation and of Actuarial Reasoning Tasks
  Jan-Philipp Schmidt
• arXiv:2604.20300 · cs.AI · submitted 2026-04-22 · explained 2026-04-23
  FSFM: A Biologically-Inspired Framework for Selective Forgetting of Agent Memory
  Yingjie Gu, Bo Xiong, Yijuan Guo, et al.
• arXiv:2604.20413 · cs.AI · submitted 2026-04-22 · explained 2026-04-23
  Self-Awareness before Action: Mitigating Logical Inertia via Proactive Cognitive Awareness
  Fulong Fan, Peilin Liu, Fengzhe Liu, et al.
• arXiv:2604.20441 · cs.AI · submitted 2026-04-22 · explained 2026-04-23
  MedSkillAudit: A Domain-Specific Audit Framework for Medical Research Agent Skills
  Yingyong Hou, Xinyuan Lao, Huimei Wang, et al.
• arXiv:2604.20545 · cs.AI · submitted 2026-04-22 · explained 2026-04-23
  Measuring the Machine
  Rebecca L. Johnson
• arXiv:2604.20601 · cs.AI+1 · submitted 2026-04-22 · explained 2026-04-23
  Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement Learning
  Zoya Volovikova, Nikita Sorokin, Dmitriy Lukashevskiy, et al.
• arXiv:2604.20622 · cs.AI+2 · submitted 2026-04-22 · explained 2026-04-23
  pAI/MSc: ML Theory Research Humans on the Loop A Technical Report
  Mahmoud Abdelmoneum, Pierfrancesco Beneventano, Tomaso Poggio
• arXiv:2604.20651 · cs.AI · submitted 2026-04-22 · explained 2026-04-23
  CHORUS: An Agentic Framework for Generating Realistic Deliberation Data
  A. Koursaris, G. Domalis, A. Apostolopoulou, et al.
• arXiv:2604.20652 · cs.AI+2 · submitted 2026-04-22 · explained 2026-04-23
  Neutral condition
  Nattavudh Powdthavee
• arXiv:2604.20711 · cs.AI+1 · submitted 2026-04-22 · explained 2026-04-23
  Participatory provenance as representational auditing for-mediated public consultation
  Sachit Mahajan
• arXiv:2604.20714 · cs.AI · submitted 2026-04-22 · explained 2026-04-23
  Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization
  Shan He, Runze Wang, Zhuoyun Du, et al.
• arXiv:2604.20728 · cs.AI+1 · submitted 2026-04-22 · explained 2026-04-23
  Interval POMDP Shielding for Imperfect-Perception Agents
  William Scarbro, Ravi Mangal