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20232026
most citedEvaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks

1 citations · 1 across the 4 of their papers we have counts for

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cs.LG2026

ROSS: Relearning from Self-Generated Rollouts through Selective Supervision

Zhiwei Zhang, Huayu Deng, Fei Zhao +4

Large language model post-training generates self-generated rollouts through reinforcement learning and on-policy distillation, yet this experience is often treated as stale once t…

cs.LG2026

Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors

Zhiwei Zhang, Fei Zhao, Rui Wang +6

Large language models (LLMs) can call tools effectively, yet they remain brittle in multi-turn execution: after a tool-call error, smaller models often fall into repetitive invalid…