大模型对齐与安全

LLM Safety Alignment is Divergence Estimation in Disguise

Rajdeep Haldar, Ziyi Wang, Qifan Song, Guang Lin, Yue Xing

机构 * Department of Statistics, Purdue University（普渡大学统计系） ； Department of Statistics, Michigan State University（密歇根州立大学统计系） 纠错

专题命中 偏好对齐 ：alignment(title,abstract)；safety(title,abstract)；RLHF(abstract)；分类 cs.AI、cs.CY、cs.LG

Comments Accepted to NeurIPS 2025

Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents

Ankan Mullick, Sombit Bose, Rounak Saha, Ayan Kumar Bhowmick, Aditya Vempaty, Prasenjit Dey, Ravi Kokku, Pawan Goyal, Niloy Ganguly

机构 * IIT Kharagpur（印度克达尔普大学） ； Emergence AI 纠错

专题命中 偏好对齐 ：alignment(abstract)；DPO(abstract)；分类 cs.CL

Comments Paper accepted in EMNLP 2025 Main Conference (Full Paper)

Journal ref EMNLP 2025 Main Conference (Full Paper)

The Narcissus Hypothesis: Descending to the Rung of Illusion

Riccardo Cadei, Christian Internò

专题命中 偏好对齐 ：alignment(abstract)；分类 cs.AI、cs.CY、cs.LG

Comments NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling

Towards Faithful and Controllable Personalization via Critique-Post-Edit Reinforcement Learning

Chenghao Zhu, Meiling Tao, Tiannan Wang, Dongyi Ding, Yuchen Eleanor Jiang, Wangchunshu Zhou

机构 * The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） ； University of Electronic Science and Technology of China（电子科技大学） ； South China Agricultural University（华南农业大学） 纠错

专题命中 偏好对齐 ：RLHF(abstract)；分类 cs.CL、cs.AI

Comments work in progress

ImageGem: In-the-wild Generative Image Interaction Dataset for Generative Model Personalization

Yuanhe Guo, Linxi Xie, Zhuoran Chen, Kangrui Yu, Ryan Po, Guandao Yang, Gordon Wetztein, Hongyi Wen

机构 * NYU（纽约大学） ； Stanford（斯坦福大学） 纠错

专题命中 偏好对齐 ：alignment(abstract)；分类 cs.AI