语言大模型 / LLM

Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models

Manh Nguyen, Sunil Gupta, Hung Le

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

Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models

Tianrui Song, Wen-Shuo Chao, Hao Liu

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

Comments Accepted by AAAI 2026

From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models

Mahammed Kamruzzaman, Abdullah Al Monsur, Gene Louis Kim, Anshuman Chhabra

机构 * University of South Florida（佛罗里达州立大学） ； North South University（北南大学） ； Bellini College of AI, Cybersecurity and Computing（人工智能、网络安全与计算学院） 纠错

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

Comments Accepted at AACL-2025 (main)

Language over Content: Tracing Cultural Understanding in Multilingual Large Language Models

Seungho Cho, Changgeon Ko, Eui Jun Hwang, Junmyeong Lee, Huije Lee, Jong C. Park

机构 * KAIST（韩国釜山科学技术院） 纠错

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

Comments Accepted to CIKM 2025 Workshop on Human Centric AI

Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors

Jing Huang, Junyi Tao, Thomas Icard, Diyi Yang, Christopher Potts

机构 * stanford（斯坦福大学） 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 ICML 2025

Adaptive Multi-Agent Response Refinement in Conversational Systems

Soyeong Jeong, Aparna Elangovan, Emine Yilmaz, Oleg Rokhlenko

机构 * KAIST（韩国科学技术院） ； Amazon（亚马逊） ； Collate ； University College London（伦敦大学学院） 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.CL、cs.AI

Comments LaCATODA Workshop @ AAAI 2026

Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification

Zhenfeng Zhuang, Fangyu Zhou, Liansheng Wang

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

KG-DF: A Black-box Defense Framework against Jailbreak Attacks Based on Knowledge Graphs

Shuyuan Liu, Jiawei Chen, Xiao Yang, Hang Su, Zhaoxia Yin

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

TraceCoder: Towards Traceable ICD Coding via Multi-Source Knowledge Integration

Mucheng Ren, He Chen, Yuchen Yan, Danqing Hu, Jun Xu, Xian Zeng

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

Comments Accpeted as BIBM 2025 Regular. 6 pages. Camera-Ready version

Coherence Mechanisms for Provable Self-Improvement

Mehryar Mohri, Jon Schneider, Yifan Wu

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

Self-Interpretability: LLMs Can Describe Complex Internal Processes that Drive Their Decisions

Dillon Plunkett, Adam Morris, Keerthi Reddy, Jorge Morales

机构 * Northeastern University（东北大学） ； Princeton University（普林斯顿大学） ； Independent Researcher（独立研究者） 纠错

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

CLIP is All You Need for Human-like Semantic Representations in Stable Diffusion

Cameron Braunstein, Mariya Toneva, Eddy Ilg

机构 * Saarland University, Saarbrücken Germany（萨尔兰州大学） ； MPI for Software Systems, Saarbrücken Germany（软件系统研究所） ； University of Technology Nuremberg, Nuremberg Germany（纽伦堡技术大学） 纠错

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

Comments 28 pages, 8 figures, 2 tables

Designing and Evaluating Malinowski's Lens: An AI-Native Educational Game for Ethnographic Learning

Michael Hoffmann, Jophin John, Jan Fillies, Adrian Paschke

机构 * Leibniz Supercomputing Centre（莱比锡超算中心） ； Stanford University（斯坦福大学） 纠错

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

Comments 21 pages, 8 figures. Full preprint version; shorter version in preparation