语言大模型 / LLM

LLMs Corrupt Your Documents When You Delegate

当您委托时，大型语言模型会破坏您的文档

Philippe Laban, Tobias Schnabel, Jennifer Neville

机构 * Microsoft Research（微软研究院） 纠错

专题命中 其他LLM ：LLM(summary_cn,abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

AI总结 研究发现，当前LLM在委托工作中会破坏文档，即使前沿模型也平均破坏25%的内容，文档大小和交互长度加剧了这一问题。

DiscoTrace: Representing and Comparing Answering Strategies of Humans and LLMs in Information-Seeking Question Answering

DiscoTrace: 人类与LLM在信息寻求问答中的回答策略表示与比较

Neha Srikanth, Jordan Boyd-Graber, Rachel Rudinger

机构 * University of Maryland（马里兰大学） 纠错

专题命中 其他LLM ：LLM(title_cn,summary_cn)；分类 cs.CL

AI总结 DiscoTrace通过分析问答策略揭示社区回答偏好差异，发现LLM在回答时缺乏修辞多样性且倾向于广泛覆盖问题解释。

The Epistemological Consequences of Large Language Models: Rethinking collective intelligence and institutional knowledge

大型语言模型的知识论后果：重新思考集体智慧与制度知识

Angjelin Hila

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.AI

AI总结 本文探讨LLM对集体智慧和制度知识的影响，提出集体知识论理论，强调反思性知识的重要性，并提出三级规范计划以应对LLM带来的知识论风险。

Comments AI & Soc (2025)

Multi-Agent Large Language Model Based Emotional Detoxification Through Personalized Intensity Control for Consumer Protection

基于多智能体大语言模型的个性化强度控制情感净化系统用于消费者保护

Keito Inoshita

机构 * Faculty of Business and Commerce（商务学院） ； Kansai University（关西大学） 纠错

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.AI

AI总结 本研究提出基于多智能体大语言模型的情感净化系统，通过个性化强度控制减少信息刺激，提升消费者情绪平衡并保持语义完整性。

Beyond Pass-by-Pass Optimization: Intent-Driven IR Optimization with Large Language Models

超越逐步优化：基于大语言模型的意图驱动的中间表示优化

Lei Qiu, Zi Yang, Fang Lyu, Ming Zhong, Huimin Cui, Xiaobing Feng

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.AI

AI总结 IntOpt通过显式分离高层次优化意图与低层次转换，实现了更高效的中间表示优化，提升了正确性和性能。

Anticipating Adversary Behavior in DevSecOps Scenarios through Large Language Models

通过大型语言模型预见DevSecOps场景中的对手行为

Mario Marín Caballero, Miguel Betancourt Alonso, Daniel Díaz-López, Angel Luis Perales Gómez, Pantaleone Nespoli, Gregorio Martínez Pérez

机构 * Department of Information and Communications Engineering, University of Murcia（信息与通信工程系，穆尔西亚大学） ； School of Engineering, Science and Technology, Universidad del Rosario（工程、科学与技术学院，罗萨里奥大学） ； Department of Computers Engineering and Technology, University of Murcia（计算机工程与技术系，穆尔西亚大学） 纠错

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.AI

AI总结 本文提出通过大型语言模型与安全混沌工程结合，自动化构建攻击防御树以预见并防御对手行为。

Comments 8 pages, 3 figures, paper in proceedings of the X National Cybersecurity Research Conference (JNIC) in Zaragoza, Spain, June, 2025

Within-Model vs Between-Prompt Variability in Large Language Models for Creative Tasks

大语言模型在创造性任务中模型内与提示间变异性研究

Jennifer Haase, Jana Gonnermann-Müller, Paul H. P. Hanel, Nicolas Leins, Thomas Kosch, Jan Mendling, Sebastian Pokutta

机构 * Zuse Institute Berlin, Berlin, Germany（柏林Zuse研究所） ； Weizenbaum Institute for the Networked Society, Berlin, Germany（网络化社会研究所） ； University of Essex, Colchester, UK（埃塞克斯大学） 纠错

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.AI

AI总结 研究探讨了大语言模型在创造性任务中提示与模型选择对输出质量的影响，发现提示和模型选择对原创性有相似影响，但模型内方差对流畅性影响更大。

SynRAG: A Large Language Model Framework for Executable Query Generation in Heterogeneous SIEM System

SynRAG: 一种用于异构SIEM系统可执行查询生成的大语言模型框架

Md Hasan Saju, Austin Page, Akramul Azim, Jeff Gardiner, Farzaneh Abazari, Frank Eargle

机构 * Department of Electrical, Computer, and Software Engineering (ECSE)（电气、计算机与软件工程系） 纠错

专题命中 其他LLM ：language model(title,abstract)；large language model(title)；分类 cs.AI

AI总结 SynRAG是一种用于异构SIEM系统可执行查询生成的大语言模型框架，能够自动从平台无关规范生成多平台查询，提升威胁检测效率。

Journal ref https://conf.researchr.org/home/cascon-2025

HATS: High-Accuracy Triple-Set Watermarking for Large Language Models

HATS: 高精度三集合水印技术用于大语言模型

Zhiqing Hu, Chenxu Zhao, Jiazhong Lu, Xiaolei Liu

机构 * Institute of Computer Application, China Academy of Engineering Physics, Mianyang, China（计算机应用研究所，工程物理科学院，绵阳，中国） ； National Interdisciplinary Research Center of Engineering Physics, Mianyang, China（工程物理跨学科研究中心，绵阳，中国） ； School of Cybersecurity (Xin Gu Industrial College), Chengdu University of Information Technology, Mianyang, China（网络安全学院（新谷工业学院），信息科技大学，绵阳，中国） 纠错

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.CL

AI总结 HATS通过三集合划分和统计检测技术，实现大语言模型的高精度水印检测，同时保持文本可读性。

Comments Camera-ready version of the paper accepted for oral presentation at the 11th International Conference on Computer and Communications (ICCC 2025)

Journal ref In Proceedings of the 11th International Conference on Computer and Communications, 2025

A-LAMP: Agentic LLM-Based Framework for Automated MDP Modeling and Policy Generation

A-LAMP：基于代理的大型语言模型框架用于自动马尔可夫决策过程建模与策略生成

Hong Je-Gal, Chan-Bin Yi, Hyun-Suk Lee

专题命中 其他LLM ：LLM(title,abstract)；large language model(abstract,comments)；language model(abstract,comments)；分类 cs.AI

AI总结 A-LAMP通过基于代理的大型语言模型自动将自然语言任务描述转换为马尔可夫决策过程并生成策略，提升了自动化建模和策略生成的效率与准确性。

Comments NeurIPS 2025 Workshop: Multi-Turn Interactions in Large Language Models. 26 pages, 8 figures

Transferable & Stealthy Ensemble Attacks: A Black-Box Jailbreaking Framework for Large Language Models

Yiqi Yang, Hongye Fu

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.AI

Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions

Nicholas Deas, Kathleen McKeown

机构 * Columbia University（哥伦比亚大学） 纠错

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.CL

Comments EMNLP 2025 Camera Ready

Semantic-Aware Scheduling for GPU Clusters with Large Language Models

Zerui Wang, Qinghao Hu, Ana Klimovic, Tianwei Zhang, Yonggang Wen, Peng Sun, Dahua Lin

机构 * Shanghai Jiao Tong University \& Shanghai AI Laboratory Shanghai China ； Nanyang Technological University Singapore Singapore ； ETH Zurich Zurich Switzerland ； Shanghai AI Laboratory Shanghai China ； The Chinese University of Hong Kong Hong Kong China ； Shanghai Jiao Tong University \& Shanghai AI Laboratory ； Nanyang Technological University ； ETH Zurich ； Shanghai AI Laboratory ； The Chinese University of Hong Kong 纠错

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.LG

Bounded PCTL Model Checking of Large Language Model Outputs

Dennis Gross, Helge Spieker, Arnaud Gotlieb

机构 * Simula Research Laboratory（Simula研究实验室） 纠错

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.AI

Comments ICTAI 2025

Handling Students Dropouts in an LLM-driven Interactive Online Course Using Language Models

Yuanchun Wang, Yiyang Fu, Jifan Yu, Daniel Zhang-Li, Zheyuan Zhang, Joy Lim Jia Yin, Yucheng Wang, Peng Zhou, Jing Zhang, Huiqin Liu

机构 * School of Information, Renmin University of China（中国人民大学信息学院） ； Institute of Education, Tsinghua University（清华大学教育学院） ； Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系） ； Language Technology Institute, Carnegie Mellon University（卡内基梅隆大学语言技术学院） 纠错

专题命中 其他LLM ：LLM(title,abstract)；language model(title)；分类 cs.CL

Comments 12 pages

Exploring Contextual Flux in Large Language Models: A Novel Approach to Self-Modulating Semantic Networks

Henry Evidail, Zachary Mountebank, Alistair Hathersage, Peter Stanhope, Basil Ravenscroft, Tobias Waddingham

专题命中 其他LLM ：language model(title,abstract)；large language model(title)；分类 cs.CL

Comments arXiv admin note: This paper has been withdrawn by arXiv due to disputed and unverifiable authorship

Improved Unbiased Watermark for Large Language Models

Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang

机构 * University of Maryland, College Park（马里兰大学学院公园分校） 纠错

专题命中 其他LLM ：language model(title,abstract)；large language model(title)；分类 cs.CL

Comments ACL 2025 Main Conference

Improving Network Threat Detection by Knowledge Graph, Large Language Model, and Imbalanced Learning

Lili Zhang, Quanyan Zhu, Herman Ray, Ying Xie

机构 * Hewlett Packard Enterprise（惠普企业公司） ； New York University（纽约大学） ； Kennesaw State University（肯纳邦斯州立大学） 纠错

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.LG

Comments Accepted by "Combining AI and OR/MS for Better Trustworthy Decision Making" Bridge Program co-organized by AAAI and INFORMS as poster and demo

ScreenAudit: Detecting Screen Reader Accessibility Errors in Mobile Apps Using Large Language Models

Mingyuan Zhong, Ruolin Chen, Xia Chen, James Fogarty, Jacob O. Wobbrock

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.AI

Comments CHI 2025

Token-Level Privacy in Large Language Models

Re'em Harel, Niv Gilboa, Yuval Pinter

专题命中 其他LLM ：language model(title,abstract)；large language model(title)；分类 cs.CL

Attacking Large Language Models with Projected Gradient Descent

Simon Geisler, Tom Wollschläger, M. H. I. Abdalla, Johannes Gasteiger, Stephan Günnemann

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.LG

Toward a Dialogue System Using a Large Language Model to Recognize User Emotions with a Camera

Hiroki Tanioka, Tetsushi Ueta, Masahiko Sano

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.AI

Comments 4 pages, 5 figures, 1 table, The 1st InterAI: Interactive AI for Human-Centered Robotics workshop in conjunction with IEEE Ro-MAN 2024, Pasadona, LA, USA, Aug. 2024

Journal ref The 1st InterAI Workshop: Interactive AI for Human-centered Robotics, 2024

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch

Zhengzhong Liu, Bowen Tan, Hongyi Wang, Willie Neiswanger, Tianhua Tao, Haonan Li, Fajri Koto, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Liqun Ma, Liping Tang, Nikhil Ranjan, Yonghao Zhuang, Guowei He, Renxi Wang, Mingkai Deng, Robin Algayres, Yuanzhi Li, Zhiqiang Shen, Preslav Nakov, Eric Xing

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.LG

Enhancing IoT based Plant Health Monitoring through Advanced Human Plant Interaction using Large Language Models and Mobile Applications

Kriti Agarwal, Samhruth Ananthanarayanan, Srinitish Srinivasan, Abirami S

专题命中 其他LLM ：language model(title,abstract)；large language model(title)；分类 cs.AI

Comments Presented as poster at ICDTSA 2024. Link to poster: https://drive.google.com/file/d/138POUASonUQxmJaPqRhwHBeTDhL7lWY3/view?usp=sharing

In-Depth Analysis of Emotion Recognition through Knowledge-Based Large Language Models

Bin Han, Cleo Yau, Su Lei, Jonathan Gratch

专题命中 其他LLM ：language model(title,abstract)；large language model(title)；分类 cs.AI

Comments 7 pages

Ranking protein-protein models with large language models and graph neural networks

Xiaotong Xu, Alexandre M. J. J. Bonvin

专题命中 其他LLM ：language model(title,abstract)；large language model(title)；分类 cs.AI

Comments 14 pages. Detailed protocol to use our DeepRank-GNN-esm software to analyse models of protein-protein complexes

Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis

Nikolay Babakov, Ehud Reiter, Alberto Bugarin

专题命中 其他LLM ：large language model(title)；language model(title)；LLM(abstract)；分类 cs.CL

Comments 27 pages

Is it Possible to Modify Text to a Target Readability Level? An Initial Investigation Using Zero-Shot Large Language Models

Asma Farajidizaji, Vatsal Raina, Mark Gales

专题命中 其他LLM ：language model(title,abstract)；large language model(title)；分类 cs.CL

Comments 11 pages, 4 figures, 5 tables

Hidden You Malicious Goal Into Benign Narratives: Jailbreak Large Language Models through Logic Chain Injection

Zhilong Wang, Yebo Cao, Peng Liu

专题命中 其他LLM ：language model(title,abstract)；large language model(title)；分类 cs.AI

Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions

Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun

专题命中 其他LLM ：language model(title,abstract)；large language model(title)；分类 cs.CL

Comments ICLR 2024 (Spotlight)