HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness? Paper • 2609.01437 • Published 4 days ago • 234
Aspire: Can Models Self-Evolve from Vague Goals? Paper • 2608.31111 • Published 5 days ago • 210
S3Gym: Can LLMs Turn Self-Testing and Self-Judging into Self-Improvement? Paper • 2608.31100 • Published 5 days ago • 29
OmniAssistBench: Assistant-style Interaction Benchmark for Omni-LLMs Paper • 2608.21360 • Published 15 days ago • 31
SMELT: Scaling Laws for Compute-Matched MoE Looped Transformers Paper • 2609.01343 • Published 4 days ago • 88
StartupBench: Benchmarking General-Purpose Agents on Market-Validated End-to-End Workflows Paper • 2608.17800 • Published 18 days ago • 10
EdgeBench: Unveiling Scaling Laws of Learning from Real-World Environments Paper • 2607.05155 • Published Jul 6 • 18
MSQA: A Natively Sourced Multilingual and Multicultural SimpleQA Benchmark Paper • 2607.00724 • Published Jul 1
Workflow-GYM: Towards Long-Horizon Evaluation of Computer-use Agentic tasks in Real-World Professional Fields Paper • 2606.11042 • Published Jun 9 • 23
MARBLE: Music Audio Representation Benchmark for Universal Evaluation Paper • 2306.10548 • Published Jun 18, 2023
Balanced Aggregation: Understanding and Fixing Aggregation Bias in GRPO Paper • 2605.04077 • Published Apr 14 • 7
Xpertbench: Expert Level Tasks with Rubrics-Based Evaluation Paper • 2604.02368 • Published Mar 27 • 12
The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL Paper • 2602.07078 • Published Feb 6 • 1
Reformulation for Pretraining Data Augmentation Paper • 2502.04235 • Published May 19, 2025 • 23
SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding Paper • 2603.16124 • Published Mar 17 • 3
Towards Retrieving Interaction Spaces for Agentic Search Paper • 2606.06880 • Published Jun 5 • 5