What Effort Level Should I Choose? On the Economics of Reasoning Effort in LLM Agents Paper • 2610.34491 • Published 10 days ago • 23
Channel Selection for Mixture-of-Experts Decoding Needs No Calibration Data Paper • 2610.37386 • Published 8 days ago • 25
S3AC: Stabilized, Selective, and Scalable Actor-Critic for LLM Reasoning Paper • 2610.35518 • Published 9 days ago • 19
WebAnything: From the Wild Web to Scalable Agent Environments Paper • 2610.37786 • Published 8 days ago • 19
RSI Arena: Towards Recursive Self-Improvement with Human Feedback Paper • 2610.33624 • Published 11 days ago • 27
TAO: Tool-Aware Joint Scheduling for LLM-Based Agentic Serving Paper • 2610.37230 • Published 8 days ago • 27
On-Policy Self-Training: Data-Free Self-Improvement in Large Language Models Paper • 2610.32770 • Published 12 days ago • 34
The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents Paper • 2610.36077 • Published 9 days ago • 49
rTaste: Do Research Agents Have Taste? Evaluating Early Stage Research Judgment Paper • 2610.40488 • Published 5 days ago • 3
GEPA-Curator: Curated Learning for Self Improving Agents Paper • 2610.37651 • Published 8 days ago • 6
MemSteer: Turning User Histories into Supervision for Agent Memory Optimization Paper • 2610.39276 • Published 6 days ago • 9
HALO: Human-Grounded Granular Evaluation of Proactive Agents Paper • 2610.39086 • Published 6 days ago • 10
LEANGUARD: Lean-Verified Guardrails for Tool-Using Agents Paper • 2611.02332 • Published 2 days ago • 9
CEPO: A General Framework for Improving Prompt Optimization in Multi-Agent Systems Paper • 2610.34722 • Published 9 days ago • 25
Democratizing Robot-Use Agents: A Unified Harness with Open Models Paper • 2611.01560 • Published 3 days ago • 41
IdeaTaste: Do LLMs Share the Research Taste of Human Researchers? Paper • 2611.03424 • Published 2 days ago • 25
DecisionRank: On-Policy Distillation for Decision-Model Rerankers Paper • 2610.42128 • Published 5 days ago • 14