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Shengyu Feng

AAAI 2026ACL 2026ICLR 2026评测与基准强化学习与后训练可解释性智能体与工具检索与知识
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1 一作 · 3 篇 · AAAI 2026 / ACL 2026 / ICLR 2026

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2026 顶会论文

3
作者位次 #14/25ACL 2026Poster· Natural Language Processing

A dvanced IF : Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following

Yun He · Wenzhe Li · Hejia Zhang · Songlin Li · Karishma Mandyam · Sopan Khosla · Yuanhao Xiong · Nanshu Wang · Xiaoliang Peng · Beibin Li · Shengjie Bi · Shishir G. Patil · Qi Qi · Shengyu Feng · Julian Katz-Samuels · Richard Yuanzhe Pang · Sujan Kumar Gonugondla · Hunter Lang · Yue Yu · Yundi Qian · Maryam Fazel-Zarandi · Licheng Yu · Amine Benhalloum · Hany Hassan Awadalla · Manaal Faruqui

摘要

Recent progress in large language models (LLMs) has led to impressive performance on a range of tasks, yet advanced instruction following (IF)—especially for complex, multi-turn, and system-prompted instructions—remains a significant challenge. Rigorous evaluation and effective training for such...

强化学习与后训练评测与基准可解释性OpenReview 项目页
作者位次 #2/4AAAI 2026Poster· Artificial Intelligence

CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization

Weiwei Sun · Shengyu Feng · Shanda Li · Yiming Yang

智能体与工具评测与基准检索与知识OpenReview

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