语言大模型 / LLM

Empathy Omni: Enabling Empathetic Speech Response Generation through Large Language Models

Haoyu Wang, Guangyan Zhang, Jiale Chen, Jingyu Li, Yuehai Wang, Yiwen Guo

机构 * Zhejiang University LIGHTSPEED Independent Researcher 纠错

专题命中 预训练与数据 ：large language model(title,abstract)；language model(title,abstract)；pretraining(abstract)；分类 cs.CL

Comments 5 pages, 1 figure, submitted to ICASSP 2026

Large Language Models Discriminate Against Speakers of German Dialects

Minh Duc Bui, Carolin Holtermann, Valentin Hofmann, Anne Lauscher, Katharina von der Wense

机构 * Johannes Gutenberg University Mainz（明斯特-贾格施泰因大学） ； Data Science Group, University of Hamburg（汉堡大学数据科学组） ； Allen Institute for AI（人工智能研究所） ； University of Washington（华盛顿大学） ； University of Colorado Boulder（科罗拉多大学博尔德分校） 纠错

专题命中 预训练与数据 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL

Comments Accepted to EMNLP 2025 Main

Synthetic Data Generation for Screen Time and App Usage

Gustavo Kruger, Nikhil Sachdeva, Michael Sobolev

机构 * Universidade Lusófona（里斯本大学） ； Universitat de Barcelona（巴塞罗那大学） ； Université Paris Cité（巴黎城市大学） ； Cornell Tech（康奈尔科技） 纠错

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；prompting(abstract)

Comments 14 pages

Journal ref International Conference on Computer-Human Interaction Research and Applications (CHIRA) 2025

Gender-Neutral Rewriting in Italian: Models, Approaches, and Trade-offs

Andrea Piergentili, Beatrice Savoldi, Matteo Negri, Luisa Bentivogli

机构 * University of Trento（特伦托大学） ； Peoples' Friendship University of Russia (RUDN University)（俄罗斯人民友谊大学（RUDN大学）） ； Joint Institute for Nuclear Research（联合核子研究所） ； Vrije Universiteit Amsterdam（阿姆斯特丹自由大学） ； University of Skövde（斯德哥尔摩大学） 纠错

专题命中 预训练与数据 ：LLM(abstract)；large language model(abstract)；language model(abstract)；prompting(abstract)

Comments Accepted at CLiC-it 2025

Data-Efficient Sleep Staging with Synthetic Time Series Pretraining

Niklas Grieger, Siamak Mehrkanoon, Stephan Bialonski

机构 * Department of Medical Engineering and Technomathematics, FH Aachen University of Applied Sciences（弗劳恩霍夫亚琛应用科学大学医学工程与技术数学系） ； Department of Information and Computing Sciences, Utrecht University（乌得勒支大学信息与计算科学系） ； Institute for Data-Driven Technologies, FH Aachen University of Applied Sciences（弗劳恩霍夫亚琛应用科学大学数据驱动技术研究所） 纠错

专题命中 预训练与数据 ：pretraining(title,abstract)；分类 cs.LG

Comments 15 pages, 4 figures, 1 table

Journal ref Grieger, N., Mehrkanoon, S., Bialonski, S. (2025). Data-Efficient Sleep Staging with Synthetic Time Series Pretraining. Algorithms, 18(9), 580

Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning

Zhaoyang Chu, Yao Wan, Zhikun Zhang, Di Wang, Zhou Yang, Hongyu Zhang, Pan Zhou, Xuanhua Shi, Hai Jin, David Lo

机构 * Huazhong University of Science and Technology（华中科技大学） ； Zhejiang University（浙江大学） ； King Abdullah University of Science and Technology（国王阿卜杜勒阿齐兹大学） ； University of Alberta（阿尔伯塔大学） ； Chongqing University（重庆大学） ； Singapore Management University（新加坡管理学院） 纠错

专题命中 预训练与数据 ：language model(title,abstract)；分类 cs.AI

Comments Accepted at the 48th IEEE/ACM International Conference on Software Engineering (ICSE 2026)

Semantic Fusion with Fuzzy-Membership Features for Controllable Language Modelling

Yongchao Huang, Hassan Raza

专题命中 预训练与数据 ：language model(title,abstract)；分类 cs.AI

Comments 16 pages

Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations

Shresth Grover, Akshay Gopalkrishnan, Bo Ai, Henrik I. Christensen, Hao Su, Xuanlin Li

机构 * UC San Diego（圣迭戈大学） ； Hillbot 纠错

专题命中 预训练与数据 ：language model(abstract)；pretraining(abstract)；分类 cs.AI、cs.LG

Comments Project Page: https://gen-vla.github.io/

FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging

Zijian Li, Xiaocheng Feng, Huixin Liu, Yichong Huang, Ting Liu, Bing Qin

机构 * Harbin Institute of Technology（哈尔滨工业大学） ； Peng Cheng Laboratory（鹏城实验室） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Comments 12 pages, 11 figures

Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale

Hasan Abed Al Kader Hammoud, Mohammad Zbeeb, Bernard Ghanem

专题命中 预训练与数据 ：language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Technical Report

A Deep Learning Pipeline for Solid Waste Detection in Remote Sensing Images

Federico Gibellini, Piero Fraternali, Giacomo Boracchi, Luca Morandini, Thomas Martinoli, Andrea Diecidue, Simona Malegori

专题命中 预训练与数据 ：pretraining(abstract)；分类 cs.AI

Journal ref Waste Management Bulletin 3 (2025) 100246

WatchAnxiety: A Transfer Learning Approach for State Anxiety Prediction from Smartwatch Data

Md Sabbir Ahmed, Noah French, Mark Rucker, Zhiyuan Wang, Taylor Myers-Brower, Kaitlyn Petz, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes

机构 * Dept. of Systems & Information Engineering（系统与信息工程系） ； Dept. of Psychology（心理学系） ； Johnson & Johnson Innovative Medicine（强生创新医药） 纠错

专题命中 预训练与数据 ：pretraining(abstract)；分类 cs.LG

Privately Learning from Graphs with Applications in Fine-tuning Large Language Models

Haoteng Yin, Rongzhe Wei, Eli Chien, Pan Li

机构 * Purdue University（普渡大学） ； Georgia Institute of Technology（佐治亚理工学院） 纠错

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.LG

Comments Accepted by COLM 2025

TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates

Afrin Dange, Sunita Sarawagi

机构 * Indian Institute of Technology Bombay Centre for Machine Intelligence（印度理工学院班加罗尔中心人工智能与数据科学中心） ； Indian Institute of Technology Bombay Department of Computer Science（印度理工学院班加罗尔计算机科学与工程系） 纠错

专题命中 指令微调 ：foundation model(title,abstract)；pretraining(abstract)；分类 cs.LG

Comments Accepted at CIKM 2025

Embodied Navigation Foundation Model

Jiazhao Zhang, Anqi Li, Yunpeng Qi, Minghan Li, Jiahang Liu, Shaoan Wang, Haoran Liu, Gengze Zhou, Yuze Wu, Xingxing Li, Yuxin Fan, Wenjun Li, Zhibo Chen, Fei Gao, Qi Wu, Zhizheng Zhang, He Wang

机构 * Peking University（北京大学） ； Galbot ； USTC（中国科学技术大学） ； BAAI（百度人工智能研究院） ； University of Adelaide（阿德莱德大学） ； Zhejiang University（浙江大学） ； Differential Robotics Project（差分机器人项目） 纠错

专题命中 指令微调 ：foundation model(title,abstract)；language model(abstract)

Comments Project Page: https://pku-epic.github.io/NavFoM-Web/

CoPL: Collaborative Preference Learning for Personalizing LLMs

Youngbin Choi, Seunghyuk Cho, Minjong Lee, MoonJeong Park, Yesong Ko, Jungseul Ok, Dongwoo Kim

机构 * Graduate School of Artificial Intelligence, POSTECH（POSTECH人工智能研究生院） ； Department of Computer Science and Engineering, POSTECH（POSTECH计算机科学与工程系） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Comments 19pages, 13 figures, 11 tables

Analysing Safety Risks in LLMs Fine-Tuned with Pseudo-Malicious Cyber Security Data

Adel ElZemity, Budi Arief, Shujun Li

机构 * University of Kent（肯特大学） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

Iterative Prompt Refinement for Safer Text-to-Image Generation

Jinwoo Jeon, JunHyeok Oh, Hayeong Lee, Byung-Jun Lee

机构 * Korea University（韩国大学） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)

TICL: Text-Embedding KNN For Speech In-Context Learning Unlocks Speech Recognition Abilities of Large Multimodal Models

Haolong Zheng, Yekaterina Yegorova, Mark Hasegawa-Johnson

专题命中 指令微调 ：foundation model(abstract)；分类 cs.CL、cs.AI、cs.LG

Embodied Image Captioning: Self-supervised Learning Agents for Spatially Coherent Image Descriptions

Tommaso Galliena, Tommaso Apicella, Stefano Rosa, Pietro Morerio, Alessio Del Bue, Lorenzo Natale

机构 * Istituto Italiano di Tecnologia（意大利技术研究院） ； University of Genoa（热那亚大学） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)

Comments 11 pages, 8 figures, 6 tables, code and test set annotations available at https://hsp-iit.github.io/embodied-captioning/

Mixture of Low-Rank Adapter Experts in Generalizable Audio Deepfake Detection

Janne Laakkonen, Ivan Kukanov, Ville Hautamäki

机构 * University of Eastern Finland（东芬兰大学） 纠错

专题命中 指令微调 ：foundation model(abstract)；分类 cs.LG

Comments 6 pages, 3 figures, 1 table

PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning

Jonas Rieger, Mattes Ruckdeschel, Gregor Wiedemann

机构 * Leibniz Institute for Media Research | Hans-Bredow-Institut (HBI)（莱比锡媒体研究所 | 哈恩-布雷多研究所） 纠错

专题命中 指令微调 ：language model(abstract)；分类 cs.CL

Journal ref https://aclanthology.org/2025.konvens-1.29/

VSE-MOT: Multi-Object Tracking in Low-Quality Video Scenes Guided by Visual Semantic Enhancement

Jun Du, Weiwei Xing, Ming Li, Fei Richard Yu

机构 * School of Software Engineering（软件工程学院） ； Guangdong Laboratory of Artificial Intelligence and Digital Economy（人工智能与数字经济广东实验室） 纠错

专题命中 指令微调 ：language model(abstract)

Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration

Yuanchen Wu, Ke Yan, Shouhong Ding, Ziyin Zhou, Xiaoqiang Li

机构 * School of Computer Engineering（计算机工程学院） ； Key Laboratory of Multimedia Trusted Perception（多媒体可信感知关键实验室） ； Efficient Computing, Xiamen University（高效计算，厦门大学） ； Tencent Youtu Lab（腾讯优图实验室） 纠错

专题命中 指令微调 ：language model(abstract)

Comments Accepted by ICML 2025

SynthCoder: A Synthetical Strategy to Tune LLMs for Code Completion

Dongjun Yu, Xiao Yan, Zhenrui Li, Jipeng Xiao, Haochuan He, Yongda Yu, Hao Zhang, Guoping Rong, Xiaobo Huang

专题命中 后训练与偏好优化 ：large language model(abstract)；language model(abstract)；post-training(abstract)；preference optimization(abstract)

Posterior-GRPO: Rewarding Reasoning Processes in Code Generation

Lishui Fan, Yu Zhang, Mouxiang Chen, Zhongxin Liu

机构 * College of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术学院） ； The State Key Laboratory of Blockchain and Data Security, Zhejiang University（浙江大学区块链与数据安全国家重点实验室） ； Hangzhou High-Tech Zone (Binjiang) Institute of Blockchain and Data Security（杭州高新技术区（滨江）区块链与数据安全研究院） 纠错

专题命中 后训练与偏好优化 ：large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

ST-LINK: Spatially-Aware Large Language Models for Spatio-Temporal Forecasting

Hyotaek Jeon, Hyunwook Lee, Juwon Kim, Sungahn Ko

机构 * Pohang University of Science and Technology（釜山科学技术大学） 纠错

专题命中 长上下文与记忆 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.LG

Comments 11 pages, 4 figures, Accepted to CIKM 2025. Code: https://github.com/HyoTaek98/ST_LINK

Journal ref The 34th ACM International Conference on Information and Knowledge Management (CIKM 2025)

FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference

Dongwei Wang, Zijie Liu, Song Wang, Yuxin Ren, Jianing Deng, Jingtong Hu, Tianlong Chen, Huanrui Yang

专题命中 长上下文与记忆 ：LLM(title,abstract)

Comments EMNLP2025 Camera-ready

MOOM: Maintenance, Organization and Optimization of Memory in Ultra-Long Role-Playing Dialogues

Weishu Chen, Jinyi Tang, Zhouhui Hou, Shihao Han, Mingjie Zhan, Zhiyuan Huang, Delong Liu, Jiawei Guo, Zhicheng Zhao, Fei Su

机构 * Beijing University of Posts and Telecommunications（北京邮电大学） ； SenseTime（商汤科技） ； Beijing Key Laboratory of Network System and Network Culture（北京网络系统与网络文化重点实验室） 纠错

专题命中 长上下文与记忆 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Large Language Models' Reasoning Stalls: An Investigation into the Capabilities of Frontier Models

Lachlan McGinness, Peter Baumgartner

机构 * School of Computer Science, Australian National University and CSIRO（计算机科学学院，澳大利亚国立大学和CSIRO） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；prompting(abstract)

Comments The original version of this article was withdrawn because there were errors in the evaluation of model faithfulness to reasoning strategies and completeness of reasoning. The analysis was re-conducted correctly and version two contains the corrections