语言大模型 / LLM

Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs

Mojdeh Karbalaee Motalleb, Chafika Benzaid, Tarik Taleb, Marcos Katz, Vahid Shah-Mansouri, JaeSeung Song

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.LG

Comments 10 pages

EUREKHA: Enhancing User Representation for Key Hackers Identification in Underground Forums

Abdoul Nasser Hassane Amadou, Anas Motii, Saida Elouardi, EL Houcine Bergou

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

Comments Accepted at IEEE Trustcom 2024

Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation

Yuhang Liu, Xueyu Hu, Shengyu Zhang, Jingyuan Chen, Fan Wu, Fei Wu

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

Comments 13 pages, 4 figures

Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI

Ramneet Kaur, Colin Samplawski, Adam D. Cobb, Anirban Roy, Brian Matejek, Manoj Acharya, Daniel Elenius, Alexander M. Berenbeim, John A. Pavlik, Nathaniel D. Bastian, Susmit Jha

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

Benchmarking LLMs via Uncertainty Quantification

Fanghua Ye, Mingming Yang, Jianhui Pang, Longyue Wang, Derek F. Wong, Emine Yilmaz, Shuming Shi, Zhaopeng Tu

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

Comments 30 pages, accepted to NeurIPS 2024

NetSafe: Exploring the Topological Safety of Multi-agent Networks

Miao Yu, Shilong Wang, Guibin Zhang, Junyuan Mao, Chenlong Yin, Qijiong Liu, Qingsong Wen, Kun Wang, Yang 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

Efficiently Quantifying and Mitigating Ripple Effects in Model Editing

Jianchen Wang, Zhouhong Gu, Xiaoxuan Zhu, Lin Zhang, Haoning Ye, Zhuozhi Xiong, Hongwei Feng, Yanghua Xiao

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

Scalable Representation Learning for Multimodal Tabular Transactions

Natraj Raman, Sumitra Ganesh, Manuela Veloso

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

Re-examining Sexism and Misogyny Classification with Annotator Attitudes

Aiqi Jiang, Nikolas Vitsakis, Tanvi Dinkar, Gavin Abercrombie, Ioannis Konstas

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

Comments Accepted by EMNLP 2024

LUQ: Long-text Uncertainty Quantification for LLMs

Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier

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

Comments EMNLP 2024 Main

Dense Passage Retrieval: Is it Retrieving?

Benjamin Reichman, Larry Heck

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

HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router

Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Ruibin Yuan, Xueqi Cheng

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

Llamipa: An Incremental Discourse Parser

Kate Thompson, Akshay Chaturvedi, Julie Hunter, Nicholas Asher

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

Comments EMNLP 2024 Findings

Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScore

Sheikh Shafayat, Eunsu Kim, Juhyun Oh, Alice Oh

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

See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning

Chengxin Zheng, Junzhong Ji, Yanzhao Shi, Xiaodan Zhang, Liangqiong Qu

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

Comments Our work has been accepted by EMNLP2024 findings

How Entangled is Factuality and Deception in German?

Aswathy Velutharambath, Amelie Wührl, Roman Klinger

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

Comments Findings of EMNLP 2024 (accepted)

Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval

Qiuhai Zeng, Zimeng Qiu, Dae Yon Hwang, Xin He, William M. Campbell

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

Comments Accepted at DCAI24 workshop@CIKM2024

Knowledge Verification to Nip Hallucination in the Bud

Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi

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

Comments Accepted to EMNLP 2024 (Main Conference)

MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Language

Muhammad Asif Ali, Nawal Daftardar, Mutayyaba Waheed, Jianbin Qin, Di 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.CL

LLMs Will Always Hallucinate, and We Need to Live With This

Sourav Banerjee, Ayushi Agarwal, Saloni Singla

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.LG

QirK: Question Answering via Intermediate Representation on Knowledge Graphs

Jan Luca Scheerer, Anton Lykov, Moe Kayali, Ilias Fountalis, Dan Olteanu, Nikolaos Vasiloglou, Dan Suciu

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.LG

The Cognitive Revolution in Interpretability: From Explaining Behavior to Interpreting Representations and Algorithms

Adam Davies, Ashkan Khakzar

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

Code Hallucination

Mirza Masfiqur Rahman, Ashish Kundu

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

Scalable Model Editing via Customized Expert Networks

Zihan Yao, Yu He, Tianyu Qi, Ming Li

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

Comments Accepted by COLM2024

AutoCodeRover: Autonomous Program Improvement

Yuntong Zhang, Haifeng Ruan, Zhiyu Fan, Abhik Roychoudhury

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

Comments To appear in ISSTA 2024

Multilingual Fine-Grained News Headline Hallucination Detection

Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky

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

Automatic Classification of News Subjects in Broadcast News: Application to a Gender Bias Representation Analysis

Valentin Pelloin, Lena Dodson, Émile Chapuis, Nicolas Hervé, David Doukhan

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

Comments Accepted to Interspeech 2024

Semantic-Aware Representation of Multi-Modal Data for Data Ingress: A Literature Review

Pierre Lamart, Yinan Yu, Christian Berger

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

Comments Accepted at the 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) 2024 as a short paper

Vamos: Versatile Action Models for Video Understanding

Shijie Wang, Qi Zhao, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun

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

Comments Accepted to ECCV 2024 (European Conference on Computer Vision). Code and models are released at https://brown-palm.github.io/Vamos/

One for All: Towards Training One Graph Model for All Classification Tasks

Hao Liu, Jiarui Feng, Lecheng Kong, Ningyue Liang, Dacheng Tao, Yixin Chen, Muhan Zhang

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

Comments 23 Pages, Published at ICLR 2024