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Zongyuan Ge

CVPR 2026×5ACL 2026×3ICLR 2026多模态社会与人本评测与基准理论与学习动力学推理
新星分资深
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合作网络9
0 一作 · 9 篇 · CVPR 2026 / ACL 2026 / ICLR 2026

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2026 顶会论文

9
作者位次 #4/4ICLR 2026Poster· Theory / Domain Adaptation and Transfer Learning

PRISM: Progressive Robust Learning for Open-World Continual Category Discovery

Wei Feng · Sijin Zhou · Yiwen Jiang · Zongyuan Ge

理论与学习动力学OpenReview
作者位次 #8/9ACL 2026Poster· Natural Language Processing

Tears or Cheers? Benchmarking LLM s via Culturally Elicited Distinct Affective Responses

Chongyuan Dai · Yaling Shen · Zihan Gao · Jia Li · Yishun Jiang · Yaxiong Wang · Liu Liu · Zongyuan Ge · Jinpeng Hu

摘要

Culture serves as a fundamental determinant of human affective processing and profoundly shapes how individuals perceive and interpret emotional stimuli. Despite this intrinsic link extant evaluations regarding cultural alignment within Large Language Models primarily prioritize declarative knowl...

多模态评测与基准检索与知识OpenReview 项目页
作者位次 #7/9ACL 2026Findings· Findings of ACL

TAGS : A Test-Time Generalist–Specialist Framework with Retrieval-Augmented Reasoning and Verification

Jianghao Wu · Feilong Tang · Yulong Li · Ming Hu · Haochen Xue · Shoaib Jameel · Zongyuan Ge · Yutong Xie · Imran Razzak

摘要

Recent advances such as Chain-of-Thought prompting have significantly improved large language models (LLMs) in zero-shot medical reasoning. However, prompting-based methods often remain shallow and unstable, while fine-tuned medical LLMs suffer from poor generalization under distribution shifts a...

推理评测与基准社会与人本OpenReview 项目页
作者位次 #12/12ACL 2026Findings· Findings of ACL

P sych E thics B ench: Evaluating Large Language Models Against A ustralian Mental Health Ethics

Yaling Shen · Stephanie Fong · Yiwen Jiang · Zimu Wang · Feilong Tang · Qingyang Xu · Xiangyu Zhao · Zhongxing Xu · Jiahe Liu · Jinpeng Hu · Dominic Dwyer · Zongyuan Ge

摘要

The increasing integration of large language models (LLMs) into mental health applications necessitates robust frameworks for evaluating professional safety alignment. Current evaluative approaches primarily rely on refusal-based safety signals, which offer limited insight into the nuanced behavi...

社会与人本评测与基准对齐与偏好OpenReview 项目页

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