most citedEagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

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cs.AI2026

Recursive Harness Self-Improvement for Frontier Reasoning Data Synthesis

Wenlong Zhang, Zhengbo Jiao, Chenxu Zhang +5

Generating progressively harder reasoning problems requires synthesis procedures that adapt as the task distribution evolves. Existing task-level recursion reuses generated problem…

cs.AI2026

ForestBench: A Unified Graph Framework for Evaluating Multi-Agent Collaboration

Guo Chen, Ziwen Li, Reed Li +4

Multi-agent systems (MAS) built on Large Language Models (LLMs) are proliferating rapidly, but their heterogeneous execution traces provide no common basis for evaluation across me…