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Dimitris N. Metaxas

ECCV 2026×3ACL 2026×2ICRA 2026SIGIR 2026多模态强化学习与后训练安全社会与人本理论与学习动力学
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0 一作 · 7 篇 · ECCV 2026 / ACL 2026 / ICRA 2026 / SIGIR 2026

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2026 顶会论文

7
作者位次 #13/13ACL 2026Poster· Natural Language Processing

Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety

Can Jin · Rui Wu · Tong Che · Qixin ZHANG · Hongwu Peng · Jiahui Zhao · Zhenting Wang · Wenqi Wei · Ligong Han · Zhao Zhang · Yuan Cao · Ruixiang Tang · Dimitris N. Metaxas

摘要

Ensuring that Large Language Models (LLMs) adhere to safety principles without refusing benign requests remains a significant challenge. While OpenAI introduces deliberative alignment (DA) to enhance the safety of its o-series models through reasoning over detailed “code-like” safety rules, the e...

安全评测与基准推理OpenReview 项目页
作者位次 #5/5ACL 2026Poster· Natural Language Processing

Stable Signer: Hierarchical Sign Language Generative Model

Sen Fang · Yalin Feng · Hongbin Zhong · Yanxin Zhang · Dimitris N. Metaxas

摘要

Sign Language Production (SLP) is the process of converting the complex input text into a real video. Most previous works focused on the Text2Gloss, Gloss2Pose, Pose2Vid stages, and some concentrated on Prompt2Gloss and Text2Avatar stages. However, this field has made slow progress due to the ina...

多模态效率与系统社会与人本OpenReview 项目页
作者位次 #6/6SIGIR 2026Poster· Information Retrieval (Short)

Individual Turing Test: A Case Study of LLM-based Simulation Using Longitudinal Personal Data

Minghao Guo · Ziyi Ye · Wujiang Xu · Xi Zhu · Wenyue Hua · Dimitris N. Metaxas

摘要

Large Language Models (LLMs) have demonstrated remarkable human-like capabilities, yet their ability to replicate a specific individual remains underexplored. This paper presents a case study investigating LLM-based individual simulation using a volunteer-contributed archive of private messaging...

检索与知识社会与人本对齐与偏好OpenReview

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