语言大模型 / LLM

Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data

Honglu Zhou, Xiangyu Peng, Shrikant Kendre, Michael S. Ryoo, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles

机构 * Salesforce AI Research（Salesforce AI研究院） 纠错

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

Comments This technical report serves as the archival version of our paper accepted at the ICCV 2025 Workshop. For more information, please visit our project website: https://strefer.github.io/

SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning

Zhenghai Xue, Longtao Zheng, Qian Liu, Yingru Li, Xiaosen Zheng, Zejun Ma, Bo An

机构 * Nanyang Technological University（南洋理工大学） ； TikTok 纠错

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

CoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMs

Jay Vaghasiya, Omkar Ghugarkar, Vishvesh Bhat, Vipul Dholaria, Julian McAuley

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

Deep Research Agents: A Systematic Examination And Roadmap

Yuxuan Huang, Yihang Chen, Haozheng Zhang, Kang Li, Huichi Zhou, Meng Fang, Linyi Yang, Xiaoguang Li, Lifeng Shang, Songcen Xu, Jianye Hao, Kun Shao, Jun Wang

机构 * Deep Research Agents（深度研究代理） 纠错

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

TruthLens: Visual Grounding for Universal DeepFake Reasoning

Rohit Kundu, Shan Jia, Vishal Mohanty, Athula Balachandran, Amit K. Roy-Chowdhury

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

Complementarity, Augmentation, or Substitutivity? The Impact of Generative Artificial Intelligence on the U.S. Federal Workforce

William G. Resh, Yi Ming, Xinyao Xia, Michael Overton, Gul Nisa Gürbüz, Brandon De Bruhl

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

Comments 53 pages, 9 figures, 3 tables

Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning

Haoji Zhang, Xin Gu, Jiawen Li, Chixiang Ma, Sule Bai, Chubin Zhang, Bowen Zhang, Zhichao Zhou, Dongliang He, Yansong Tang

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

LawFlow: Collecting and Simulating Lawyers' Thought Processes on Business Formation Case Studies

Debarati Das, Khanh Chi Le, Ritik Sachin Parkar, Karin De Langis, Brendan Madson, Chad M. Berryman, Robin M. Willis, Daniel H. Moses, Brett McDonnell, Daniel Schwarcz, Dongyeop Kang

机构 * Computer Science and Engineering, University of Minnesota（计算机科学与工程系，明尼苏达大学） ； Law School, University of Minnesota（法学院，明尼苏达大学） 纠错

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

Comments Accepted at COLM 2025

CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

Ping Yu, Jack Lanchantin, Tianlu Wang, Weizhe Yuan, Olga Golovneva, Ilia Kulikov, Sainbayar Sukhbaatar, Jason Weston, Jing Xu

机构 * FAIR at Meta（Meta的FAIR） 纠错

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

VulnRepairEval: An Exploit-Based Evaluation Framework for Assessing Large Language Model Vulnerability Repair Capabilities

Weizhe Wang, Wei Ma, Qiang Hu, Yao Zhang, Jianfei Sun, Bin Wu, Yang Liu, Guangquan Xu, Lingxiao Jiang

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

A Study on Zero-Shot Non-Intrusive Speech Intelligibility for Hearing Aids Using Large Language Models

Ryandhimas E. Zezario, Dyah A. M. G. Wisnu, Hsin-Min Wang, Yu Tsao

机构 * Academia Sinica（中国科学院） ； National Chengchi University（中正大学） 纠错

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

Comments Accepted to IEEE ICCE-TW 2025

Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving

Mingyi Wang, Jingke Wang, Tengju Ye, Junbo Chen, Kaicheng Yu

机构 * Autolab, Westlake University（自动化实验室，西lake大学） ； Zhejiang University（浙江大学） 纠错

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

Comments CoRL 2025

LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis

Reza Fayyazi, Michael Zuzak, Shanchieh Jay Yang

机构 * Rochester Institute of Technology（罗切斯特技术学院） ； Gonzaga University（戈兹加大学） 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

2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model

Zilong Guo, Yi Luo, Long Sha, Dongxu Wang, Panqu Wang, Chenyang Xu, Yi Yang

机构 * ZERON Shanghai, China（上海零点科技有限公司） 纠错

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

Comments 2nd place in CVPR 2024 End-to-End Driving at Scale Challenge

AHELM: A Holistic Evaluation of Audio-Language Models

Tony Lee, Haoqin Tu, Chi Heem Wong, Zijun Wang, Siwei Yang, Yifan Mai, Yuyin Zhou, Cihang Xie, Percy Liang

机构 * Stanford University（斯坦福大学） ； University of California, Santa Cruz（加州大学圣克ruz分校） ； Hitachi America, Ltd.（日立美国有限公司） 纠错

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

Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models

Piotr Przybyła, Euan McGill, Horacio Saggion

机构 * TALN Group, Universitat Pompeu Fabra（庞培法华大学TALN小组） ； Institute of Computer Science, Polish Academy of Sciences（波兰科学院计算机科学研究所） 纠错

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

Comments Presented at EMNLP 2025

Mentality: A Mamba-based Approach towards Foundation Models for EEG

Saarang Panchavati, Corey Arnold, William Speier

机构 * Department of Radiology University of California（放射科系 加州大学） 纠错

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

Journal ref In Proceedings of the ICLR 2024 Workshop on Learning from Time Series for Health (2024). Retrieved from https://openreview.net/forum?id=O6T38rRiFp

Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond

Yundi Zhang, Paul Hager, Che Liu, Suprosanna Shit, Chen Chen, Daniel Rueckert, Jiazhen Pan

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

INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning

Zhiyuan Wang, Xiaoyang Qu, Jing Xiao, Bokui Chen, Jianzong Wang

机构 * Tsinghua Shenzhen International Graduate School, Tsinghua University, China（清华大学深圳国际研究生院） ； Ping An Technology (Shenzhen) Co., Ltd., Shenzhen, China（平安科技（深圳）有限公司） ； Peng Cheng Laboratory, Shenzhen, China（鹏城实验室） 纠错

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

Comments Accepted by the 49th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024)

Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics

Matthew Russo, Tim Kraska

机构 * MIT（麻省理工学院） 纠错

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

Comments 6 pages, 2 figures, submitted to CIDR'26

ViDDAR: Vision Language Model-Based Task-Detrimental Content Detection for Augmented Reality

Yanming Xiu, Tim Scargill, Maria Gorlatova

机构 * Duke University（杜克大学） 纠错

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

Comments The paper has been accepted to the 2025 IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), and selected for publication in the 2025 IEEE Transactions on Visualization and Computer Graphics (TVCG) special issue

Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs

Naman Deep Singh, Maximilian Müller, Francesco Croce, Matthias Hein

机构 * University of Tübingen & Tübingen AI Center, Germany（图宾根大学及图宾根人工智能中心） ； EPFL, Switzerland（瑞士联邦理工学院） 纠错

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

Automatic Metadata Extraction for Text-to-SQL

Vladislav Shkapenyuk, Divesh Srivastava, Theodore Johnson, Parisa Ghane

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

Comments 37 pages

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios

Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Jungang Li, Jingyu Wang, Peijie Jiang, Aiwei Liu, Jia Liu, Xuming Hu

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； The Hong Kong University of Science and Technology（香港科技大学） ； Tsinghua University（清华大学） ； Ant Group（蚂蚁集团） ； Alibaba Group（阿里巴巴集团） 纠错

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

Are We SOLID Yet? An Empirical Study on Prompting LLMs to Detect Design Principle Violations

Fatih Pehlivan, Arçin Ülkü Ergüzen, Sahand Moslemi Yengejeh, Mayasah Lami, Anil Koyuncu

机构 * Bilkent University, Turkey（巴伊肯大学） 纠错

专题命中 评测与基准 ：prompting(title)；分类 cs.AI

Comments Accepted to ASE2025

SESGO: Spanish Evaluation of Stereotypical Generative Outputs

Melissa Robles, Catalina Bernal, Denniss Raigoso, Mateo Dulce Rubio

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

SinhalaMMLU: A Comprehensive Benchmark for Evaluating Multitask Language Understanding in Sinhala

Ashmari Pramodya, Nirasha Nelki, Heshan Shalinda, Chamila Liyanage, Yusuke Sakai, Randil Pushpananda, Ruvan Weerasinghe, Hidetaka Kamigaito, Taro Watanabe

机构 * Nara Institute of Science and Technology (NAIST)（奈良科学技术研究所） ； University of Colombo School of Computing (UCSC)（科伦坡大学计算学院） ； Informatics Institute of Technology (IIT)（信息技术研究所） 纠错

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

Comments 19 pages, 11 figures

Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation

Reina Ishikawa, Ryo Fujii, Hideo Saito, Ryo Hachiuma

机构 * Keio University（庆应大学） ； NVIDIA（英伟达） 纠错

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

Comments Accepted to ICCV Workshop 2025

PixFoundation 2.0: Do Video Multi-Modal LLMs Use Motion in Visual Grounding?

Mennatullah Siam

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

Comments Work under review in NeurIPS 2025 with the title "Are we using Motion in Referring Segmentation? A Motion-Centric Evaluation"

Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents

Zhixin Lin, Jungang Li, Shidong Pan, Yibo Shi, Yue Yao, Dongliang Xu

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