语言大模型 / LLM

TAGAL: Tabular Data Generation using Agentic LLM Methods

Benoît Ronval, Pierre Dupont, Siegfried Nijssen

机构 * UCLouvain（乌尔特里大学） ； ICTEAM（信息与团队研究所） ； KU Leuven（根特大学） ； DTAI（数据与人工智能研究所） 纠错

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

Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks

Sheng Liu, Qiang Sheng, Danding Wang, Yang Li, Guang Yang, Juan Cao

机构 * Sheng Liu Media Synthesis and Forensics Lab, Institute of Computing Technology, Chinese Academy of Sciences University of Chinese Academy of Sciences（媒体合成与取证实验室，计算技术研究所，中国科学院，中国科学院大学） ； Qiang Sheng Media Synthesis and Forensics Lab, Institute of Computing Technology, Chinese Academy of Sciences（媒体合成与取证实验室，计算技术研究所，中国科学院） ； Danding Wang Media Synthesis and Forensics Lab, Institute of Computing Technology, Chinese Academy of Sciences（媒体合成与取证实验室，计算技术研究所，中国科学院） ； Yang Li Media Synthesis and Forensics Lab, Institute of Computing Technology, Chinese Academy of Sciences University of Chinese Academy of Sciences（媒体合成与取证实验室，计算技术研究所，中国科学院，中国科学院大学） ； Guang Yang Zhongguancun Laboratory（中关村实验室） ； Juan Cao Media Synthesis and Forensics Lab, Institute of Computing Technology, Chinese Academy of Sciences（媒体合成与取证实验室，计算技术研究所，中国科学院） 纠错

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

Comments EMNLP 2025 findings

FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster Response

Mollie Shichman, Claire Bonial, Austin Blodgett, Taylor Hudson, Francis Ferraro, Rachel Rudinger

机构 * University of Maryland, College Park（马里兰大学学院市分校） ； Army Research Lab（陆军研究实验室） ； Oak Ridge Associated Universities（橡树岭关联大学） ； University of Maryland, Baltimore County（马里兰大学巴尔的摩县分校） 纠错

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

Comments 8 pages, 3 figures, 5 tables

A Generative Foundation Model for Chest Radiography

Yuanfeng Ji, Dan Lin, Xiyue Wang, Lu Zhang, Wenhui Zhou, Chongjian Ge, Ruihang Chu, Xiaoli Yang, Junhan Zhao, Junsong Chen, Xiangde Luo, Sen Yang, Jin Fang, Ping Luo, Ruijiang Li

机构 * Department of Radiation Oncology, Stanford University School of Medicine（斯坦福大学医学院放射肿瘤科） ； Department of Computer Science, School of Computing and Data Science, The University of Hong Kong（香港大学计算机科学系） ； Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University（康奈尔大学兽医学院人口医学与诊断科学系） ； Department of Radiology, The First Affiliated Hospital of Jinan University（暨南大学第一附属医院放射科） ； Department of Radiology, Stanford University School of Medicine（斯坦福大学医学院放射科） ； Department of Computer Science and Engineering, The Chinese University of Hong Kong（香港中文大学计算机科学与工程系） ； Department of Biomedical Informatics, Harvard Medical School（哈佛医学院生物医学信息学系） 纠错

专题命中 预训练与数据 ：foundation model(title,abstract)；pretraining(abstract)

Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss

José Manuel de Frutos, Manuel A. Vázquez, Pablo Olmos, Joaquín Míguez

机构 * Department of Signal Theory and Communications, Carlos III University of Madrid（信号理论与通信系，卡洛斯三世大学） 纠错

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

A RoBERTa-Based Functional Syntax Annotation Model for Chinese Texts

Han Xiaohui, Zhang Yunlong, Guo Yuxi

机构 * Faculty of Humanities and Social Sciences（人文与社会科学学院） ； Harbin Institute of Technology（哈尔滨工业大学） ； Department of Computer Science and Engineering（计算机科学与工程系） ； Chalmers University of Technology（楚尔特大学） 纠错

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

Comments The paper includes 10 pages, 6 tables, and 4 figures. This project is completed with the assistance of National Center for Language Technology and Digital Economy Research (No. GJLX20250002), and is funded by Heilongjiang Language Research Committee Project Construction of an Adaptive Intelligent Chinese Learning Platform for International Students in China (No. G2025Y003)

Multilevel Analysis of Cryptocurrency News using RAG Approach with Fine-Tuned Mistral Large Language Model

Bohdan M. Pavlyshenko

机构 * Ivan Franko National University of Lviv（弗拉基米尔·伊万诺维奇·帕瓦利申科国立大学） 纠错

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

Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation

Renyi Zhong, Yichen Li, Guangba Yu, Wenwei Gu, Jinxi Kuang, Yintong Huo, Michael R. Lyu

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

RL's Razor: Why Online Reinforcement Learning Forgets Less

Idan Shenfeld, Jyothish Pari, Pulkit Agrawal

机构 * Improbable AI Lab, MIT（Improbable AI Lab 和 马萨诸塞理工学院） 纠错

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

Explicit Learning and the LLM in Machine Translation

Malik Marmonier, Rachel Bawden, Benoît Sagot

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

Psychologically Enhanced AI Agents

Maciej Besta, Shriram Chandran, Robert Gerstenberger, Mathis Lindner, Marcin Chrapek, Sebastian Hermann Martschat, Taraneh Ghandi, Patrick Iff, Hubert Niewiadomski, Piotr Nyczyk, Jürgen Müller, Torsten Hoefler

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

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment

Yuqing Huang, Rongyang Zhang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Xuyang Zhi, Guiquan Liu, Xin Li, Hao Wang, Enhong Chen

机构 * University of Science and Technology of China（中国科学技术大学） ； Xiaohongshu Inc.（小红书公司） 纠错

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

Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model

Phuoc-Nguyen Bui, Khanh-Binh Nguyen, Hyunseung Choo

机构 * Sungkyunkwan University（顺天大学） ； Deakin University（德金大学） 纠错

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

Comments ICCV 2025 - LIMIT Workshop

Reg3D: Reconstructive Geometry Instruction Tuning for 3D Scene Understanding

Hongpei Zheng, Lintao Xiang, Qijun Yang, Qian Lin, Hujun Yin

机构 * Department of Electrical and Electronic Engineering, The University of Manchester（曼彻斯特大学电子与电气工程系） 纠错

专题命中 指令微调 ：instruction tuning(title,abstract)

Comments 16 pages, 6 figures

Enhancing Technical Documents Retrieval for RAG

Songjiang Lai, Tsun-Hin Cheung, Ka-Chun Fung, Kaiwen Xue, Kwan-Ho Lin, Yan-Ming Choi, Vincent Ng, Kin-Man Lam

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

Two-Stage Quranic QA via Ensemble Retrieval and Instruction-Tuned Answer Extraction

Mohamed Basem, Islam Oshallah, Ali Hamdi, Khaled Shaban, Hozaifa Kassab

机构 * Dept. of Computer Science, MSA University（计算机科学系，MSA大学） ； Dept. of Computer Science, Qatar University（计算机科学系，卡塔尔大学） ； AiTech AU 纠错

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

Comments 8 pages , 4 figures , Accepted in Aiccsa 2025 , https://conferences.sigappfr.org/aiccsa2025/

Learning Active Perception via Self-Evolving Preference Optimization for GUI Grounding

Wanfu Wang, Qipeng Huang, Guangquan Xue, Xiaobo Liang, Juntao Li

机构 * Wanfu Wang, Qipeng Huang, Guangquan Xue, Xiaobo Liang, Juntao Li（作者） 纠错

专题命中 后训练与偏好优化 ：preference optimization(title)；language model(abstract)；分类 cs.AI

Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models

Hongyin Zhang, Shiyuan Zhang, Junxi Jin, Qixin Zeng, Yifan Qiao, Hongchao Lu, Donglin Wang

专题命中 后训练与偏好优化 ：post-training(title,abstract)；分类 cs.LG

SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences

Arpan Mukherjee, Marcello Bullo, Deniz Gündüz

机构 * Imperial College London（帝国理工学院伦敦分校） 纠错

专题命中 后训练与偏好优化 ：RLHF(title,abstract)；分类 cs.LG

QuesGenie: Intelligent Multimodal Question Generation

Ahmed Mubarak, Amna Ahmed, Amira Nasser, Aya Mohamed, Fares El-Sadek, Mohammed Ahmed, Ahmed Salah, Youssef Sobhy

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

Comments 7 pages, 8 figures, 12 tables. Supervised by Dr. Ahmed Salah and TA Youssef Sobhy

Connections between reinforcement learning with feedback,test-time scaling, and diffusion guidance: An anthology

Yuchen Jiao, Yuxin Chen, Gen Li

机构 * Department of Statistics and Data Science, Chinese University of Hong Kong（统计与数据科学系，香港中文大学） ； Department of Statistics and Data Science, the Wharton School, University of Pennsylvania（统计与数据科学系，沃顿商学院，宾夕法尼亚大学） 纠错

专题命中 后训练与偏好优化 ：post-training(abstract)；分类 cs.LG

Assessing Large Language Models in Comprehending and Verifying Concurrent Programs across Memory Models

Ridhi Jain, Rahul Purandare

专题命中 长上下文与记忆 ：large language model(title,abstract)；language model(title,abstract)

Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning

Fan Yang, Per Frivik, David Hoeller, Chen Wang, Cesar Cadena, Marco Hutter

机构 * 1 Robotic Systems Lab, ETH Zurich, Zurich, Switzerland 2 Spatial AI \& Robotics Lab, University at Buffalo, Buffalo, NY, USA 纠错

专题命中 长上下文与记忆 ：pretraining(abstract)

Comments 22 pages

AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models

Cheng-Kai Yeh, Hsing-Wang Lee, Chung-Hung Kuo, Hen-Hsen Huang

机构 * Department of Mathematical Sciences National Chengchi University Taipei Taiwan（数学科学系 国立政治大学 台北 台湾） ； Department of Computer Science National Chengchi University Taipei Taiwan（计算机科学系 国立政治大学 台北 台湾） ； Institute of Information Science Academia Sinica Taipei Taiwan（信息科学研究所 中国学术院 台北 台湾） ； National Chengchi University（国立政治大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 7 pages, accepted by CIKM 2025 as a short paper

DMN-Guided Prompting: A Framework for Controlling LLM Behavior

Shaghayegh Abedi, Amin Jalali

机构 * Politecnico di Torino（都灵理工大学） ； Stockholm University（斯德哥尔摩大学） 纠错

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

Comments Large Language Models, Decision Model and Notation, Automated Feedback, Prompt Engineering

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models

Yanbo Wang, Yongcan Yu, Jian Liang, Ran He

机构 * School of Artificial Intelligence, University of Chinese Academy of Sciences（人工智能学院，中国科学院大学） ； NLPR & MAIS, Institute of Automation, Chinese Academy of Sciences（神经语言处理与机器智能中心，中国科学院自动化研究所） 纠错

专题命中 推理与问题求解 ：language model(title,abstract)；large language model(title)；LLM(abstract)；分类 cs.CL、cs.AI

Comments 38 pages. This survey considers papers published up to June 30, 2025. Work in progress

Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective

Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, Xiao Liang, Hengyuan Zhang, Xingxing Zhang, Ziyi Yang, Mahmoud Khademi, Hany Awadalla, Junjie Wang, Yujiu Yang, Furu Wei

机构 * Microsoft Research Asia（微软亚洲研究院） ； Tsinghua University（清华大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL

Comments Accepted to ACL 2025 (Main)

Evaluating the Efficacy of LLM-Based Reasoning for Multiobjective HPC Job Scheduling

Prachi Jadhav, Hongwei Jin, Ewa Deelman, Prasanna Balaprakash

机构 * University of Tennessee, Knoxville\ Ridge National Laboratory Oak Ridge, TN USA ； Argonne National Laboratory Lemont, IL USA ； University of Southern California Los Angeles, CA USA ； Oak Ridge National Laboratory Oak Ridge, TN USA ； University of Tennessee, Knoxville\ Ridge National Laboratory ； Argonne National Laboratory ； University of Southern California ； Oak Ridge National Laboratory 纠错

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

Comments 10 pages, 6 figures, work under review

RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models

Zhaoyan Gong, Juan Li, Zhiqiang Liu, Lei Liang, Huajun Chen, Wen Zhang

机构 * Zhejiang University（浙江大学） ； Ant Group（蚂蚁集团） ； ZJU-Ant Group Joint Lab of Knowledge Graph（浙江大学-蚂蚁集团知识图谱联合实验室） 纠错

专题命中 推理与问题求解 ：large language model(title)；language model(title)；分类 cs.CL、cs.AI

Comments EMNLP 2025

CANDY: Benchmarking LLMs' Limitations and Assistive Potential in Chinese Misinformation Fact-Checking

Ruiling Guo, Xinwei Yang, Chen Huang, Tong Zhang, Yong Hu

机构 * School of Cyber Science and Engineering, Sichuan University, China（四川大学网络科学与工程学院） ； College of Computer Science, Sichuan University, China（四川大学计算机学院） ； Institute of Data Science, National University of Singapore, Singapore（新加坡国立大学数据科学研究所） 纠错

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

Comments Findings of EMNLP 2025