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Zaitang LI

ACL 2026×2评测与基准安全对齐与偏好强化学习与后训练检索与知识
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一作贡献30
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方向广度10
合作网络12
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
一作ACL 2026Findings· Findings of ACL

GRE Score: Generative Risk Evaluation for Large Language Models

Zaitang LI · Pin-Yu Chen · Tsung-Yi Ho

摘要

Large Language Models (LLMs) have revolutionized generative tasks, but concerns about their trustworthiness and vulnerability to adversarial attacks persist. This paper introduces the Generative Robustness Evaluation (GRE) Score, a novel metric designed to assess LLMs’ resilience against adversar...

安全对齐与偏好评测与基准OpenReview 项目页
作者位次 #3/8ACL 2026Findings· Findings of ACL

Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification

Yuxuan Wan · Tianqing Fang · Zaitang LI · Yintong Huo · Wenxuan Wang · Haitao Mi · Dong Yu · Michael R. Lyu

摘要

Recent advances in Deep Research Agents (DRAs) are transforming automated knowledge discovery and problem-solving.While the majority of existing efforts focus on enhancing policy capabilities via post-training, we propose an alternative paradigm: test-time self-evolving the agent’s ability by ite...

强化学习与后训练评测与基准检索与知识OpenReview 项目页

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