语言大模型 / LLM

EditMF: Drawing an Invisible Fingerprint for Your Large Language Models

Jiaxuan Wu, Yinghan Zhou, Wanli Peng, Yiming Xue, Juan Wen, Ping Zhong

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

Comments 8 pages, 2 figures

UrzaGPT: LoRA-Tuned Large Language Models for Card Selection in Collectible Card Games

Timo Bertram

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

DocThinker: Explainable Multimodal Large Language Models with Rule-based Reinforcement Learning for Document Understanding

Wenwen Yu, Zhibo Yang, Yuliang Liu, Xiang Bai

机构 * Huazhong University of Science and Technology（华中科技大学） ； Alibaba Group（阿里巴巴集团） 纠错

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

Comments ICCV 2025

Utilizing Large Language Models for Information Extraction from Real Estate Transactions

Yu Zhao, Haoxiang Gao, Jinghan Cao, Shiqi Yang

机构 * Rotman School of Management University of Toronto（罗特曼管理学院 东京大学） ； ECE Department Carnegie Mellon University（电子工程系 卡内基梅隆大学） ； Department of Computer Science San Francisco State University（计算机科学系 旧金山州立大学） ； New York University（纽约大学） 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

Classifier Language Models: Unifying Sparse Finetuning and Adaptive Tokenization for Specialized Classification Tasks

Adit Krishnan, Chu Wang, Chris Kong

机构 * Amazon Web Services Inc.（亚马逊网络服务公司） 纠错

专题命中 指令微调 ：language model(title,abstract)；large language model(abstract)；small language model(abstract)；pretraining(abstract)

Comments 10 pages, 4 figures, currently under review

DynaSwarm: Dynamically Graph Structure Selection for LLM-based Multi-agent System

Hui Yi Leong, Yuqing Wu

专题命中 指令微调 ：LLM(title,abstract)；分类 cs.AI、cs.LG

Comments content error

Retrieval-Augmented Generation with Conflicting Evidence

Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

机构 * University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校） 纠错

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

Comments COLM 2025, Data and Code: https://github.com/HanNight/RAMDocs

VLM-3D:End-to-End Vision-Language Models for Open-World 3D Perception

Fuhao Chang, Shuxin Li, Yabei Li, Lei He

机构 * School of Vehicle and Mobility, Tsinghua University（清华大学车辆与移动性学院） ； State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University（清华大学智能绿色车辆与移动性国家重点实验室） ； College of Information and Electrical Engineering, China Agricultural University（中国农业大学信息与电气工程学院） ； School of Statistics and Data Science, Southwestern University of Finance and Economics（西南财经大学统计与数据科学学院） ； Meituan, China（美团（中国）） 纠错

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

Munsit at NADI 2025 Shared Task 2: Pushing the Boundaries of Multidialectal Arabic ASR with Weakly Supervised Pretraining and Continual Supervised Fine-tuning

Mahmoud Salhab, Shameed Sait, Mohammad Abusheikh, Hasan Abusheikh

机构 * CNTXT AI Abu Dhabi（CNTXT AI阿布扎比） 纠错

专题命中 指令微调 ：pretraining(title)；分类 cs.CL、cs.AI

LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QA

Adrián Gude, Roi Santos-Ríos, Francisco Prado-Valiño, Ana Ezquerro, Jesús Vilares

机构 * Universidade da Coruña（科鲁纳大学） ； CITIC Departamento de Ciencias de la Computación y Tecnologías de la Información（CITIC计算机科学与信息技术部门） 纠错

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

Comments Accepted to SemEval 2025. Camera-ready version

UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection

Jakub Šmíd, Pavel Přibáň, Pavel Král

机构 * University of West Bohemia, Faculty of Applied Sciences（西波西米亚大学应用科学学院） ； Department of Computer Science and Engineering（计算机科学与工程系） ； NTIS – New Technologies for the Information Society（信息社会新技术机构） 纠错

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

Comments Published in Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis (WASSA 2024). Official version: https://aclanthology.org/2024.wassa-1.47/

Enhancing AI Safety Through the Fusion of Low Rank Adapters

Satya Swaroop Gudipudi, Sreeram Vipparla, Harpreet Singh, Shashwat Goel, Ponnurangam Kumaraguru

机构 * IIIT Hyderabad（海德拉巴国家理工学院） ； NSUT Delhi（德里NSUT） 纠错

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

Multiple Stochastic Prompt Tuning for Few-shot Adaptation under Extreme Domain Shift

Debarshi Brahma, Soma Biswas

机构 * Indian Institute of Science（印度科学研究院） 纠错

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

Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions

Moran Yanuka, Assaf Ben Kish, Yonatan Bitton, Idan Szpektor, Raja Giryes

机构 * Tel Aviv University（特拉维夫大学） ； Google Research（谷歌研究） 纠错

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

Comments Accepted to NAACL 2025

Journal ref Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics, Human Language Technologies, Long Papers, pp. 10497-10518

TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation

Armel Zebaze, Benoît Sagot, Rachel Bawden

机构 * Inria（法国国家信息与自动化技术研究所） 纠错

专题命中 指令微调 ：LLM(abstract)；分类 cs.CL

Prompt-Based Approach for Czech Sentiment Analysis

Jakub Šmíd, Pavel Přibáň

机构 * Department of Computer Science and Engineering（计算机科学与工程系） 纠错

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

Comments Published in Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing (RANLP 2023). Official version: https://aclanthology.org/2023.ranlp-1.118/