语言大模型 / LLM

Rotary Offset Features in Large Language Models

André Jonasson

机构 * André Jonasson（独立研究者） 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.LG

Beyond Interpretability: Exploring the Comprehensibility of Adaptive Video Streaming through Large Language Models

Lianchen Jia, Chaoyang Li, Ziqi Yuan, Jiahui Chen, Tianchi Huang, Jiangchuan Liu, Lifeng Sun

机构 * Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系） ； School of Computing Science, Simon Fraser University（西蒙弗雷泽大学计算机科学系） ； Beijing National Research Center for Information Science and Technology（北京信息科学国家研究中心） 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.LG

Comments ACM Multimedia2025

NEAT: Concept driven Neuron Attribution in LLMs

Vivek Hruday Kavuri, Gargi Shroff, Rahul Mishra

机构 * IIIT Hyderabad（IIIT海得拉巴） 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、cs.AI、cs.LG

Beyond Transcription: Mechanistic Interpretability in ASR

Neta Glazer, Yael Segal-Feldman, Hilit Segev, Aviv Shamsian, Asaf Buchnick, Gill Hetz, Ethan Fetaya, Joseph Keshet, Aviv Navon

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.LG

Dancing with Deer: A Constructional Perspective on MWEs in the Era of LLMs

Claire Bonial, Julia Bonn, Harish Tayyar Madabushi

机构 * U.S. Army Research Lab（美国陆军研究实验室） ； University of Colorado Boulder（科罗拉多大学博尔德分校） ； University of Bath（巴斯大学） 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

Comments Chapter in Phraseology and Multiword Expressions, Language Science Press (to appear)

UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation

Zhaodong Jiang, Ashish Sinha, Tongtong Cao, Yuan Ren, Bingbing Liu, Binbin Xu

机构 * Huawei Noah’s Ark Lab, Canada（华为诺亚实验室，加拿大） ； University of Toronto, Canada（多伦多大学，加拿大） 纠错

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

Comments Published at the Conference on Robot Learning (CoRL) 2025. For more details please visit https://frankzhaodong.github.io/UnPose

Political Ideology Shifts in Large Language Models

Pietro Bernardelle, Stefano Civelli, Leon Fröhling, Riccardo Lunardi, Kevin Roitero, Gianluca Demartini

机构 * The University of Queensland（昆士兰大学） ； University of Udine（乌迪内大学） 纠错

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

Enhancing Code-switched Text-to-Speech Synthesis Capability in Large Language Models with only Monolingual Corpora

Jing Xu, Daxin Tan, Jiaqi Wang, Xiao Chen

机构 * The Chinese University of Hong Kong（香港中文大学） ； Noah’s Ark Lab, Huawei（华为诺亚实验室） 纠错

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

Comments Accepted to ASRU2025

Building and Measuring Trust between Large Language Models

Maarten Buyl, Yousra Fettach, Guillaume Bied, Tijl De Bie

机构 * Ghent University（根特大学） 纠错

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

Self-Disguise Attack: Induce the LLM to disguise itself for AIGT detection evasion

Yinghan Zhou, Juan Wen, Wanli Peng, Zhengxian Wu, Ziwei Zhang, Yiming Xue

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

Do LLMs write like humans? Variation in grammatical and rhetorical styles

Alex Reinhart, Ben Markey, Michael Laudenbach, Kachatad Pantusen, Ronald Yurko, Gordon Weinberg, David West Brown

机构 * Carnegie Mellon University（卡内基梅隆大学） ； New Jersey Institute of Technology（新泽西理工学院） ； Heinz College of Information Systems and Public Policy（信息系统与公共政策学院） 纠错

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

Comments 7 pages, 4 figures, 1 table

Journal ref Proceedings of the National Academy of Sciences 122 (2025), e2422455122

Do Language Models Agree with Human Perceptions of Suspense in Stories?

Glenn Matlin, Devin Zhang, Rodrigo Barroso Loza, Diana M. Popescu, Joni Isbell, Chandreyi Chakraborty, Mark Riedl

机构 * School of Interactive Computing, College of Computing Georgia Institute of Technology, USA（交互计算学院、计算机学院、佐治亚理工学院） 纠错

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

Journal ref Published at the Conference on Language Models (COLM) 2025

ChatGPT-generated texts show authorship traits that identify them as non-human

Vittoria Dentella, Weihang Huang, Silvia Angela Mansi, Jack Grieve, Evelina Leivada

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

A Framework for Processing Textual Descriptions of Business Processes using a Constrained Language -- Technical Report

Andrea Burattin, Antonio Grama, Ana-Maria Sima, Andrey Rivkin, Barbara Weber

机构 * Technical University of Denmark, DTU Compute（丹麦技术大学，DTU计算学院） ； University of St.Gallen（斯图加特大学） 纠错

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

Take That for Me: Multimodal Exophora Resolution with Interactive Questioning for Ambiguous Out-of-View Instructions

Akira Oyama, Shoichi Hasegawa, Akira Taniguchi, Yoshinobu Hagiwara, Tadahiro Taniguchi

机构 * Ritsumeikan University（立命馆大学） ； Soka University（早稻田大学） ； Kyoto University（京都大学） 纠错

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

Comments See website at https://emergentsystemlabstudent.github.io/MIEL/. Accepted at IEEE RO-MAN 2025

Correctness-Guaranteed Code Generation via Constrained Decoding

Lingxiao Li, Salar Rahili, Yiwei Zhao

机构 * Netflix 纠错

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

Comments Published at COLM 2025

Wired Beneath, Scented Above: A Dual-Parameter Approach to Soil-Plant Interaction via Electrical Resistance and VOC Analysis

Mridul Kumar, Soami Daya Krishnananda

专题命中 其他LLM ：prompting(abstract)

AutoSketch: VLM-assisted Style-Aware Vector Sketch Completion

Hsiao-Yuan Chin, I-Chao Shen, Yi-Ting Chiu, Ariel Shamir, Bing-Yu Chen

机构 * National Taiwan University（国立台湾大学） ； The University of Tokyo（东京大学） ； Reichman University（里奇曼大学） 纠错

专题命中 其他LLM ：language model(abstract)

Comments 11 pages, Hsiao-Yuan Chin and I-Chao Shen contributed equally to the paper