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Pengyu Li

ACL 2026×2强化学习与后训练评测与基准推理安全可解释性
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58
一作贡献30
核心/参与5
方向广度10
合作网络3
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #5/8ACL 2026Findings· Findings of ACL

P hys PRM : A Generative Process Reward Model with Fine-grained Diagnosis for Physics Problem Solving

Yuxuan Dong · Xinyu Zhang · Lingling Zhang · Han Lai · Pengyu Li · Bifan Wei · Yaqiang Wu · an Jiaotong University)

摘要

Despite the remarkable progress of Large Language Models (LLMs) in abstract reasoning tasks, they continue to struggle with physics problem solving due to difficulties in decoding implicit constraints and maintaining physical consistency. To address these challenges, Process Reward Models (PRMs)...

强化学习与后训练评测与基准推理OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

AGT AO : Robust and Stabilized LLM Unlearning via Adversarial Gating Training with Adaptive Orthogonality

Pengyu Li · Lingling Zhang · Zhitao Gao · Yanrui Wu · Yuxuan Dong · Huan Liu · Bifan Wei · an Jiaotong University)

摘要

While Large Language Models (LLMs) have achieved remarkable capabilities, they unintentionally memorize sensitive data, posing critical privacy and security risks.Machine unlearning is pivotal for mitigating these risks, yet existing paradigms face a fundamental dilemma: aggressive unlearning oft...

安全可解释性检索与知识OpenReview 项目页

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