语言大模型 / LLM

RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving

Zhijian Huang, Chengjian Feng, Feng Yan, Baihui Xiao, Zequn Jie, Yujie Zhong, Xiaodan Liang, Lin Ma

机构 * Shenzhen Campus of Sun Yat-sen University（中山大学深圳校区） ； Meituan（美团） 纠错

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

Comments ICCV 2025

GeoFlow: Agentic Workflow Automation for Geospatial Tasks

Amulya Bhattaram, Justin Chung, Stanley Chung, Ranit Gupta, Janani Ramamoorthy, Kartikeya Gullapalli, Diana Marculescu, Dimitrios Stamoulis

机构 * The University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

专题命中 推理与问题求解 ：LLM(abstract)；分类 cs.AI、cs.LG

Comments Accepted to ACM SIGSPATIAL 2025

DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning

Xinrun Xu, Pi Bu, Ye Wang, Börje F. Karlsson, Ziming Wang, Tengtao Song, Qi Zhu, Jun Song, Zhiming Ding, Bo Zheng

机构 * 1 Taobao \& Tmall Group of Alibaba, 2 Institute of Software, Chinese Academy of Science, 3 University of Chinese Academy of Sciences, 4 Renmin University of China, 5 Informatics Department, PUC-Rio 纠错

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

Comments 48 pages

StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models

Xiangxiang Zhang, Jingxuan Wei, Donghong Zhong, Qi Chen, Caijun Jia, Cheng Tan, Jinming Gu, Xiaobo Qin, Zhiping Liu, Liang Hu, Tong Sun, Yuchen Wu, Zewei Sun, Chenwei Lou, Hua Zheng, Tianyang Zhan, Changbao Wang, Shuangzhi Wu, Zefa Lin, Chang Guo, Sihang Yuan, Riwei Chen, Shixiong Zhao, Yingping Zhang, Gaowei Wu, Bihui Yu, Jiahui Wu, Zhehui Zhao, Qianqian Liu, Ruofeng Tang, Xingyue Huang, Bing Zhao, Mengyang Zhang, Youqiang Zhou

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

INTENTION: Inferring Tendencies of Humanoid Robot Motion Through Interactive Intuition and Grounded VLM

Jin Wang, Weijie Wang, Boyuan Deng, Heng Zhang, Rui Dai, Nikos Tsagarakis

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

Comments Project Web: https://robo-intention.github.io

How Effective are Large Time Series Models in Hydrology? A Study on Water Level Forecasting in Everglades

Rahuul Rangaraj, Jimeng Shi, Azam Shirali, Rajendra Paudel, Yanzhao Wu, Giri Narasimhan

专题命中 推理与问题求解 ：foundation model(abstract)；分类 cs.LG

Few-Shot Vision-Language Reasoning for Satellite Imagery via Verifiable Rewards

Aybora Koksal, A. Aydin Alatan

专题命中 推理与问题求解 ：language model(abstract)

Comments ICCV 2025 Workshop on Curated Data for Efficient Learning (CDEL). 10 pages, 3 figures, 6 tables. Our model, training code and dataset will be at https://github.com/aybora/FewShotReasoning

Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance

Wenyan Yang, Ahmet Tikna, Yi Zhao, Yuying Zhang, Luigi Palopoli, Marco Roveri, Joni Pajarinen

机构 * Department of Electrical Engineering and Automation, Aalto University（艾尔沃斯大学电气工程与自动化系） ； Department of Engineering and Computer Science, University of Trento（特伦托大学工程与计算机科学系） 纠错

专题命中 推理与问题求解 ：foundation model(abstract)

Can Large Language Models Generate Effective Datasets for Emotion Recognition in Conversations?

Burak Can Kaplan, Hugo Cesar De Castro Carneiro, Stefan Wermter

机构 * Department of Informatics, University of Hamburg（信息学院，汉堡大学） 纠错

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

Comments 8 pages, 4 figures

Can open source large language models be used for tumor documentation in Germany? -- An evaluation on urological doctors' notes

Stefan Lenz, Arsenij Ustjanzew, Marco Jeray, Meike Ressing, Torsten Panholzer

专题命中 评测与基准 ：large language model(title,abstract)；language model(title,abstract)；prompting(abstract)；分类 cs.CL、cs.AI

Comments 53 pages, 5 figures

Journal ref BioData Mining volume 18, Article number 48 (2025)

MedMKEB: A Comprehensive Knowledge Editing Benchmark for Medical Multimodal Large Language Models

Dexuan Xu, Jieyi Wang, Zhongyan Chai, Yongzhi Cao, Hanpin Wang, Huamin Zhang, Yu Huang

专题命中 评测与基准 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.AI

Comments 18 pages

McBE: A Multi-task Chinese Bias Evaluation Benchmark for Large Language Models

Tian Lan, Xiangdong Su, Xu Liu, Ruirui Wang, Ke Chang, Jiang Li, Guanglai Gao

机构 * College of Computer Science, Inner Mongolia University（内蒙古大学计算机科学学院） ； National & Local Joint Engineering Research Center of Intelligent Information Processing Technology for Mongolian（蒙古语智能信息处理技术国家与地方联合工程研究中心） ； Inner Mongolia Key Laboratory of Multilingual Artificial Intelligence Technology（内蒙古多语种人工智能技术重点实验室） 纠错

专题命中 评测与基准 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL

Comments Accepted by ACL2025 Findings

Journal ref In Findings of the Association for Computational Linguistics: ACL 2025, pages 6033-6056, Vienna, Austria. Association for Computational Linguistics

Large Language Models Still Exhibit Bias in Long Text

Wonje Jeung, Dongjae Jeon, Ashkan Yousefpour, Jonghyun Choi

机构 * Yonsei University（延世大学） ； Seoul National University（首尔国立大学） 纠错

专题命中 评测与基准 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL

Comments Accepted by ACL, code and models are available at https://github.com/WonjeJeung/LTF-TEST

Optimizing LLM-Based Multi-Agent System with Textual Feedback: A Case Study on Software Development

Ming Shen, Raphael Shu, Anurag Pratik, James Gung, Yubin Ge, Monica Sunkara, Yi Zhang

机构 * Arizona State University（亚利桑那州立大学） ； Amazon Web Services（亚马逊网络服务） 纠错

专题命中 评测与基准 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；prompting(abstract)

LLaVA-RE: Binary Image-Text Relevancy Evaluation with Multimodal Large Language Model

Tao Sun, Oliver Liu, JinJin Li, Lan Ma

机构 * Stony Brook University（斯通布罗克大学） ； Amazon（亚马逊） 纠错

专题命中 评测与基准 ：large language model(title,abstract)；language model(title,abstract)

Comments Published in the First Workshop of Evaluation of Multi-Modal Generation 2025

TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution

Zhikai Zhao, Chuanbo Hua, Federico Berto, Kanghoon Lee, Zihan Ma, Jiachen Li, Jinkyoo Park

专题命中 评测与基准 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI、cs.LG

Comments arXiv admin note: substantial text overlap with arXiv:2505.04480

Who is a Better Player: LLM against LLM

Yingjie Zhou, Jiezhang Cao, Farong Wen, Li Xu, Yanwei Jiang, Jun Jia, Ronghui Li, Xiaohong Liu, Yu Zhou, Xiongkuo Min, Jie Guo, Zicheng Zhang, Guangtao Zhai

机构 * Shanghai Jiao Tong University（上海交通大学） ； PengCheng Laboratory（鹏城实验室） ； Harvard Medical School（哈佛医学院） ； Shanghai AI Laboratory（上海人工智能实验室） ； China University of Mining and Technology（中国矿业大学） 纠错

专题命中 评测与基准 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

Recent Advances in Speech Language Models: A Survey

Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, Ziqiao Meng, Guangyan Zhang, Qichao Wang, Yiwen Guo, Irwin King

机构 * Department of Computer Science and Engineering, The Chinese University of Hong Kong（计算机科学与工程系，香港中文大学） ； LIGHTSPEED STUDIOS ； National University of Singapore（新加坡国立大学） ； Tencent（腾讯） 纠错

专题命中 评测与基准 ：language model(title,abstract)；LLM(abstract)；large language model(abstract)；分类 cs.CL

Comments The reduced version of this paper has been accepted at ACL 2025

Tool Graph Retriever: Exploring Dependency Graph-based Tool Retrieval for Large Language Models

Linfeng Gao, Yaoxiang Wang, Minlong Peng, Jialong Tang, Yuzhe Shang, Mingming Sun, Jinsong Su

机构 * School of Informatics, Xiamen University（厦门大学信息学院） ； Baidu（百度） ； Alibaba（阿里巴巴） 纠错

专题命中 评测与基准 ：large language model(title)；language model(title)；分类 cs.AI

The SMeL Test: A simple benchmark for media literacy in language models

Gustaf Ahdritz, Anat Kleiman

机构 * Kempner Institute, Harvard University（凯普纳研究所，哈佛大学） 纠错

专题命中 评测与基准 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL、cs.LG

How Do LLMs Persuade? Linear Probes Can Uncover Persuasion Dynamics in Multi-Turn Conversations

Brandon Jaipersaud, David Krueger, Ekdeep Singh Lubana

机构 * Mila ； University of Montreal（蒙特利尔大学） ； Harvard University（哈佛大学） 纠错

专题命中 评测与基准 ：LLM(abstract)；large language model(abstract)；language model(abstract)；prompting(abstract)

TASE: Token Awareness and Structured Evaluation for Multilingual Language Models

Chenzhuo Zhao, Xinda Wang, Yue Huang, Junting Lu, Ziqian Liu

专题命中 评测与基准 ：language model(title,abstract)；large language model(abstract)；分类 cs.CL

I Think, Therefore I Am Under-Qualified? A Benchmark for Evaluating Linguistic Shibboleth Detection in LLM Hiring Evaluations

Julia Kharchenko, Tanya Roosta, Aman Chadha, Chirag Shah

机构 * University of Washington（华盛顿大学） ； UC Berkeley（伯克利大学） ； Stanford University（斯坦福大学） 纠错

专题命中 评测与基准 ：LLM(title)；large language model(abstract)；language model(abstract)；分类 cs.CL

Augmented Question-guided Retrieval (AQgR) of Indian Case Law with LLM, RAG, and Structured Summaries

Vishnuprabha V, Daleesha M Viswanathan, Rajesh R, Aneesh V Pillai

专题命中 评测与基准 ：LLM(title)；large language model(abstract)；language model(abstract)

Enriching language models with graph-based context information to better understand textual data

Albert Roethel, Maria Ganzha, Anna Wróblewska

专题命中 评测与基准 ：language model(title,abstract)；分类 cs.CL、cs.AI、cs.LG

Comments 12 pages, 5 figures

Adapting Vision-Language Models Without Labels: A Comprehensive Survey

Hao Dong, Lijun Sheng, Jian Liang, Ran He, Eleni Chatzi, Olga Fink

机构 * ETH Zürich（苏黎世联邦理工学院） ； University of Science and Technology of China（中国科学技术大学） ； Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； EPFL（苏黎世联邦理工学院） 纠错

专题命中 评测与基准 ：language model(title,abstract)；分类 cs.AI、cs.LG

Comments Discussions, comments, and questions are welcome in \url{https://github.com/tim-learn/Awesome-LabelFree-VLMs}

Can Vision Language Models Understand Mimed Actions?

Hyundong Cho, Spencer Lin, Tejas Srinivasan, Michael Saxon, Deuksin Kwon, Natali T. Chavez, Jonathan May

机构 * Information Sciences Institute（信息科学研究所） ； Institute for Creative Technologies（创意技术研究所） ； Department of Computer Science（计算机科学系） ； University of Southern California（南加州大学） ； University of California, Santa Barbara（加州大学圣巴巴拉分校） ； Aristotle University of Thessaloniki（希腊雅典纳大学） 纠错

专题命中 评测与基准 ：language model(title,abstract)；分类 cs.CL、cs.AI

Comments ACL 2025 Findings

ArXivBench: When You Should Avoid Using ChatGPT for Academic Writing

Ning Li, Jingran Zhang, Justin Cui

机构 * University of California, Los Angeles（加州大学洛杉矶分校） 纠错

专题命中 评测与基准 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

VS-LLM: Visual-Semantic Depression Assessment based on LLM for Drawing Projection Test

Meiqi Wu, Yaxuan Kang, Xuchen Li, Shiyu Hu, Xiaotang Chen, Yunfeng Kang, Weiqiang Wang, Kaiqi Huang

机构 * School of Computer Science and Technology, University of Chinese Academy of Sciences（计算机科学与技术学院，中国科学院大学） ； Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（人工智能学院，中国科学院大学） ； CAS Center for Excellence in Brain Science and Intelligence Technology（脑科学与智能技术卓越中心） 纠错

专题命中 评测与基准 ：LLM(title,abstract)；分类 cs.AI

Evaluating LLM-Generated Q&A Test: a Student-Centered Study

Anna Wróblewska, Bartosz Grabek, Jakub Świstak, Daniel Dan

机构 * Warsaw University of Technology Faculty of Mathematics and Information Science（华沙技术大学数学与信息科学学院） 纠错

专题命中 评测与基准 ：LLM(title,abstract)；分类 cs.CL

Comments accepted to AIED 2025