Your Benchmark Is an Empirical Measure Over Difficulty Paper • 2610.29927 • Published 12 days ago • 39
Trial by Trace: Benchmarking AI Agent Harnesses for Reliability and Failure Attribution Paper • 2610.32285 • Published 10 days ago • 54
Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL Paper • 2610.21439 • Published 18 days ago • 35
Make Sparse Rewards Count: Density-Aware Reward Aggregation for Multi-Reward RL Paper • 2610.00574 • Published Sep 30 • 34
EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discovery Paper • 2609.40340 • Published Sep 30 • 94
Agentic Artifact Creation: Systems, Evaluation, Principles, and Opportunities Paper • 2608.28122 • Published Aug 28 • 65
AREX: Towards a Recursively Self-Improving Agent for Deep Research Paper • 2607.21461 • Published Jul 23 • 96
From Human-Centric to Agentic Code Review: The Impact of Different Generations of Generative AI Technology on Review Quality Paper • 2607.13196 • Published Jul 14 • 26
SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning Paper • 2607.14777 • Published Jul 16 • 105
Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading Paper • 2607.08964 • Published Jul 9 • 73
Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks Paper • 2606.29082 • Published Jun 27 • 43
Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients Paper • 2606.18216 • Published Jun 16 • 65
Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL Paper • 2604.17073 • Published Apr 18 • 9
The Blind Spot of Agent Safety: How Benign User Instructions Expose Critical Vulnerabilities in Computer-Use Agents Paper • 2604.10577 • Published Apr 12 • 27