语言大模型 / LLM

Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models

Yuheng Wu, Wentao Guo, Zirui Liu, Heng Ji, Zhaozhuo Xu, Denghui Zhang

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

The Illusionist's Prompt: Exposing the Factual Vulnerabilities of Large Language Models with Linguistic Nuances

Yining Wang, Yuquan Wang, Xi Li, Mi Zhang, Geng Hong, Min Yang

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.LG

Comments work in progress

Integration of Explainable AI Techniques with Large Language Models for Enhanced Interpretability for Sentiment Analysis

Thivya Thogesan, Anupiya Nugaliyadde, Kok Wai Wong

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

Hallucination Detection in Large Language Models with Metamorphic Relations

Borui Yang, Md Afif Al Mamun, Jie M. Zhang, Gias Uddin

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.LG

Comments Accepted to the ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2025)

Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of Abstraction

Gustaw Opiełka, Hannes Rosenbusch, Claire E. Stevenson

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.LG

Comments Preprint

Aligning Large Language Models and Geometric Deep Models for Protein Representation

Dong Shu, Bingbing Duan, Kai Guo, Kaixiong Zhou, Jiliang Tang, Mengnan Du

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、cs.LG

Comments 37 pages, 10 figures

Talking to the brain: Using Large Language Models as Proxies to Model Brain Semantic Representation

Xin Liu, Ziyue Zhang, Jingxin Nie

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 20 pages, 6 figures

Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses

Tiejin Chen, Xiaoou Liu, Longchao Da, Jia Chen, Vagelis Papalexakis, Hua Wei

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

Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach

Hang Gao, Chenhao Zhang, Fengge Wu, Junsuo Zhao, Changwen Zheng, Huaping 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.CL、cs.LG

Comments Accepted by AAAI 2025

Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models

Ze Yu Zhang, Arun Verma, Finale Doshi-Velez, Bryan Kian Hsiang Low

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

Comments 22 pages, Preprint

Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective

Tianlong Li, Zhenghua Wang, Wenhao Liu, Muling Wu, Shihan Dou, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang

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 by COLING 2025

K-ON: Stacking Knowledge On the Head Layer of Large Language Model

Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen

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 AAAI 2025 (Oral)

On Effects of Steering Latent Representation for Large Language Model Unlearning

Dang Huu-Tien, Trung-Tin Pham, Hoang Thanh-Tung, Naoya Inoue

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 AAAI-25 Main Technical Track

Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model

Hadas Ben-Atya, Naama Gavrielov, Zvi Badash, Gili Focht, Ruth Cytter-Kuint, Talar Hagopian, Dan Turner, Moti Freiman

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

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models

Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng

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

Explainable artificial intelligence (XAI): from inherent explainability to large language models

Fuseini Mumuni, Alhassan Mumuni

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、cs.LG

Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models

Yuheng Huang, Jiayang Song, Zhijie Wang, Shengming Zhao, Huaming Chen, Felix Juefei-Xu, Lei Ma

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 Update website, code, and experiments on eight new LLMs. To appear in the IEEE Transactions on Software Engineering (2025)

ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models

Yuzhe Gu, Ziwei Ji, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen

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 by NeurIPS 2024. Dataset, code, and model are released at https://github.com/open-compass/ANAH

Targeted Angular Reversal of Weights (TARS) for Knowledge Removal in Large Language Models

Harry J. Davies, Giorgos Iacovides, Danilo P. Mandic

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 14 pages, 5 figures, 1 table. Fixing typo with the final weight editing equation

Automated Molecular Concept Generation and Labeling with Large Language Models

Zimin Zhang, Qianli Wu, Botao Xia, Fang Sun, Ziniu Hu, Yizhou Sun, Shichang Zhang

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、cs.LG

Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Oscar Skean, Md Rifat Arefin, Yann LeCun, Ravid Shwartz-Ziv

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.LG

Comments Accepted to 2024 NeurIPs Workshop on Machine Learning and Compression

Temporally Consistent Factuality Probing for Large Language Models

Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy Chakraborty

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

Goal-guided Generative Prompt Injection Attack on Large Language Models

Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin

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 11 pages, 6 figures

Journal ref IEEE International Conference on Data Mining 2024

Toward Cultural Interpretability: A Linguistic Anthropological Framework for Describing and Evaluating Large Language Models (LLMs)

Graham M. Jones, Shai Satran, Arvind Satyanarayan

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.LG

Comments Accepted for publication in Big Data & Society, November 2, 2024

Talking the Talk Does Not Entail Walking the Walk: On the Limits of Large Language Models in Lexical Entailment Recognition

Candida M. Greco, Lucio La Cava, Andrea Tagarelli

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

Comments Accepted for publication at The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP-2024) - Findings

FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees

Fan Nie, Xiaotian Hou, Shuhang Lin, James Zou, Huaxiu Yao, Linjun Zhang

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

Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs

Wei Wang, Zhichao Hou, Xiaorui Liu, Xinxia Peng

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

FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions

Anuroop Sriram, Benjamin Kurt Miller, Ricky T. Q. Chen, Brandon M. Wood

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、cs.LG

Journal ref NeurIPS 2024

Iter-AHMCL: Alleviate Hallucination for Large Language Model via Iterative Model-level Contrastive Learning

Huiwen Wu, Xiaohan Li, Xiaogang Xu, Jiafei Wu, Deyi Zhang, Zhe 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.CL、cs.AI

Mitigating Gender Bias in Code Large Language Models via Model Editing

Zhanyue Qin, Haochuan Wang, Zecheng Wang, Deyuan Liu, Cunhang Fan, Zhao Lv, Zhiying Tu, Dianhui Chu, Dianbo Sui

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