most citedRAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

3 citations · 3 across the 5 of their papers we have counts for

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cs.CL2026

CocoaBench: Evaluating Unified Digital Agents in the Wild

CocoaBench Team, Shibo Hao, Zhining Zhang +29

LLM agents now perform strongly in software engineering, deep research, GUI automation, and various other applications, while recent agent scaffolds and models are increasingly int…