A Matter of TASTE: Improving Coverage and Difficulty of Agent Benchmarks Paper • 2605.28556 • Published 18 days ago • 68
Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents Paper • 2605.22608 • Published 24 days ago • 8
Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents Paper • 2605.22608 • Published 24 days ago • 8
Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows Paper • 2604.28139 • Published Apr 30 • 42
ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents Paper • 2604.23781 • Published Apr 26 • 33
BARRED: Synthetic Training of Custom Policy Guardrails via Asymmetric Debate Paper • 2604.25203 • Published Apr 28 • 8
Why Fine-Tuning Encourages Hallucinations and How to Fix It Paper • 2604.15574 • Published Apr 16 • 25
DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data Paper • 2604.19859 • Published Apr 21 • 53
DR^{3}-Eval: Towards Realistic and Reproducible Deep Research Evaluation Paper • 2604.14683 • Published Apr 16 • 36
view article Article Inside VAKRA: Reasoning, Tool Use, and Failure Modes of Agents ibm-research • Apr 15 • 28
From Reasoning to Agentic: Credit Assignment in Reinforcement Learning for Large Language Models Paper • 2604.09459 • Published Apr 13 • 14
OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language World Models Paper • 2604.10866 • Published Apr 13 • 67