语言大模型 / LLM

SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models

Jianyi Zhang, Da-Cheng Juan, Cyrus Rashtchian, Chun-Sung Ferng, Heinrich Jiang, Yiran Chen

机构 * Duke University（杜克大学） ； Google Research（谷歌研究） 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、cs.AI

Comments Accepted at NeurIPS 2024; project page is available at https://jayzhang42.github.io/sled_page/

Entropy-Constrained Strategy Optimization in Urban Floods: A Multi-Agent Framework with LLM and Knowledge Graph Integration

Peilin Ji, Xiao Xue, Simeng Wang, Wenhao Yan

机构 * College of Intelligence and Computing（智能与计算学院） 纠错

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

Comments 17 pages including appendix, 6 figures

Disentangling concept semantics via multilingual averaging in Sparse Autoencoders

Cliff O'Reilly, Ernesto Jimenez-Ruiz, Tillman Weyde

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

Locality-aware Concept Bottleneck Model

Sujin Jeon, Hyundo Lee, Eungseo Kim, Sanghack Lee, Byoung-Tak Zhang, Inwoo Hwang

机构 * Seoul National University（首尔国立大学） ； Columbia University（哥伦比亚大学） 纠错

专题命中 知识编辑与模型理解 ：foundation model(abstract)

Comments 34 pages, 25 figures

Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework

Moyu Zhang, Yujun Jin, Jinxin Hu, Yu Zhang

专题命中 知识编辑与模型理解 ：prompting(abstract)

Comments Accepted by CIKM 2025, 6 pages, 1 figures, 5 tables