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Fei zhao

ACL 2026×2CVPR 2026ICLR 2026多模态强化学习与后训练推理评测与基准智能体与工具
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1 一作 · 4 篇 · ACL 2026 / CVPR 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #2/9ACL 2026Poster· Natural Language Processing

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

Zhiwei Zhang · Fei zhao · Rui Wang · Zezhong Wang · Bin Liang · Jiakang Wang · Yao Hu · Shaosheng Cao · Kam-Fai Wong

摘要

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 re-invocations instead of interpreting the feedback and recovering. This failure mode persists because current train...

强化学习与后训练智能体与工具可解释性OpenReview 项目页
一作ACL 2026Poster· ACL Industry Track

R ed O ne 2.0: Rethinking Domain-specific LLM Post-Training in Social Networking Services

Fei zhao · Chonggang Lu · Haofu Qian · Fangcheng Shi · Zijie Meng · Jianzhao Huang · Zheyong Xie · Shaosheng Cao

摘要

As a primary medium for human interaction and information exchange, social networking services (SNS) present distinct challenges for large language models (LLMs): rapidly evolving norms and slang, and culturally diverse content that causes knowledge distribution shift. While supervised fine-tunin...

强化学习与后训练社会与人本对齐与偏好OpenReview 项目页

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