语言大模型 / LLM

CURE: Controlled Unlearning for Robust Embeddings -- Mitigating Conceptual Shortcuts in Pre-Trained Language Models

Aysenur Kocak, Shuo Yang, Bardh Prenkaj, Gjergji Kasneci

机构 * Technical University of Munich（慕尼黑技术大学） 纠错

专题命中 知识编辑与模型理解 ：language model(title,abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted at the Conference on Empirical Methods in Natural Language Processing (EMNLP 2025)

MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems

Shruthi Chari, Oshani Seneviratne, Prithwish Chakraborty, Pablo Meyer, Deborah L. McGuinness

机构 * Rensselaer Polytechnic Institute（伦斯勒理工学院） ； Amazon Science（亚马逊科学） ； IBM Research（IBM研究院） 纠错

专题命中 知识编辑与模型理解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Whose Name Comes Up? Auditing LLM-Based Scholar Recommendations

Daniele Barolo, Chiara Valentin, Fariba Karimi, Luis Galárraga, Gonzalo G. Méndez, Lisette Espín-Noboa

专题命中 知识编辑与模型理解 ：LLM(title)；分类 cs.AI

Comments 40 pages: 10 main (incl. 9 figures), 3 references, and 27 appendix. Paper under-review

Do All Autoregressive Transformers Remember Facts the Same Way? A Cross-Architecture Analysis of Recall Mechanisms

Minyeong Choe, Haehyun Cho, Changho Seo, Hyunil Kim

机构 * Chosun University（全州大学） ； Soongsil University（顺天大学） ； Kongju National University（康州国立大学） 纠错

专题命中 知识编辑与模型理解 ：language model(abstract)；分类 cs.CL

Comments Accepted at EMNLP 2025

RoentMod: A Synthetic Chest X-Ray Modification Model to Identify and Correct Image Interpretation Model Shortcuts

Lauren H. Cooke, Matthias Jung, Jan M. Brendel, Nora M. Kerkovits, Borek Foldyna, Michael T. Lu, Vineet K. Raghu

专题命中 知识编辑与模型理解 ：foundation model(abstract)；分类 cs.AI

Comments 25 + 8 pages, 4 + 7 figures