语言大模型 / LLM

MSEarth: A Multimodal Scientific Dataset and Benchmark for Phenomena Uncovering in Earth Science

Xiangyu Zhao, Wanghan Xu, Bo Liu, Yuhao Zhou, Fenghua Ling, Ben Fei, Xiaoyu Yue, Lei Bai, Wenlong Zhang, Xiao-Ming Wu

机构 * The Hong Kong Polytechnic University（香港理工大学） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； Shanghai Jiao Tong University（上海交通大学） ； The Chinese University of Hong Kong（香港中文大学） 纠错

专题命中 领域大模型 ：large language model(abstract)；language model(abstract)；分类 cs.AI

ICA-RAG: Information Completeness Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis

Jiawei He, Mingyi Jia, Zhihao Jia, Junwen Duan, Yan Song, Jianxin Wang

机构 * School of Computer Science and Engineering, Central South University（中南大学计算机科学与工程学院） ； University of Science and Technology of China（中国科学技术大学） 纠错

专题命中 领域大模型 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Universal Speech Token Learning via Low-Bitrate Neural Codec and Pretrained Representations

Xue Jiang, Xiulian Peng, Yuan Zhang, Yan Lu

机构 * School of Information and Communication Engineering, Communication University of China（信息与通信工程学院，中国传媒大学） ； Microsoft Research Asia（微软亚洲研究院） ； State Key Laboratory of Media Convergence and Communication, Communication University of China（媒体融合与通信国家重点实验室，中国传媒大学） 纠错

专题命中 领域大模型 ：language model(abstract)；分类 cs.AI

Comments Accepted by IEEE Journal of Selected Topics in Signal Processing(JSTSP)

ESI: Epistemic Uncertainty Quantification via Semantic-preserving Intervention for Large Language Models

Mingda Li, Xinyu Li, Weinan Zhang, Longxuan Ma

机构 * Harbin Institute of Technology（哈尔滨工业大学） ； Kunming University of Science and Technology（昆明理工大学） 纠错

专题命中 知识编辑与模型理解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI、cs.LG

Multi-Scale Probabilistic Generation Theory: A Unified Information-Theoretic Framework for Hierarchical Structure in Large Language Models

Yukin Zhang, Qi Dong

机构 * The Chinese University Of Hongkong（香港中文大学） ； Fudan University（复旦大学） ； University of Edinburgh（爱丁堡大学） 纠错

专题命中 知识编辑与模型理解 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

To Steer or Not to Steer? Mechanistic Error Reduction with Abstention for Language Models

Anna Hedström, Salim I. Amoukou, Tom Bewley, Saumitra Mishra, Manuela Veloso

机构 * J.P. Morgan AI Research（摩根大通AI研究） 纠错

专题命中 知识编辑与模型理解 ：language model(title,abstract)；分类 cs.AI、cs.LG

Comments ICML 2025, 22 pages, 16 figures, 5 tables

Journal ref International Machine Learning Conference (ICML) 2025

A Matter of Representation: Towards Graph-Based Abstract Code Generation

Nyx Iskandar, Hisham Bedri, Andy Tsen

专题命中 知识编辑与模型理解 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

On the Limits of Language Generation: Trade-Offs Between Hallucination and Mode Collapse

Alkis Kalavasis, Anay Mehrotra, Grigoris Velegkas

机构 * Yale University（耶鲁大学） 纠错

专题命中 知识编辑与模型理解 ：language model(abstract)；post-training(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Accepted for presentation at the 57th Symposium on Theory of Computing (STOC 2025); v3 fixes typos

Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode Representations

A. Bochkov

机构 * Moscow Institute of Physics and Technology (MIPT)（莫斯科物理技术学院） 纠错

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Published in Transactions on Machine Learning Research (10/2025). OpenReview: https://openreview.net/forum?id=Odh8IynO1o

Journal ref Transactions on Machine Learning Research (TMLR), 2025

Adaptive vector steering: A training-free, layer-wise intervention for hallucination mitigation in large audio and multimodal models

Tsung-En Lin, Kuan-Yi Lee, Hung-Yi Lee

机构 * National Taiwan University（国立台湾大学） ； ASUS Open Cloud Infrastructure Software Center（ASUS开放云基础设施软件中心） 纠错

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.LG

Comments Note: This preprint is a version of the paper submitted to ICASSP 2026. The author list here includes contributors who provided additional supervision and guidance. The official ICASSP submission may differ slightly in author composition

Estimating the Hallucination Rate of Generative AI

Andrew Jesson, Nicolas Beltran-Velez, Quentin Chu, Sweta Karlekar, Jannik Kossen, Yarin Gal, John P. Cunningham, David Blei

机构 * Department of Statistics, Columbia University（统计系，哥伦比亚大学） ； Department of Computer Science, Columbia University（计算机科学系，哥伦比亚大学） ； OATML, Department of Computer Science, University of Oxford（OATML，计算机科学系，牛津大学） 纠错

专题命中 知识编辑与模型理解 ：large language model(abstract)；language model(abstract)；分类 cs.LG

PhysMaster: Mastering Physical Representation for Video Generation via Reinforcement Learning

Sihui Ji, Xi Chen, Xin Tao, Pengfei Wan, Hengshuang Zhao

机构 * The University of Hong Kong（香港大学） ； Kling Team, Kuaishou Technology（快手科技 Kling 团队） 纠错

专题命中 知识编辑与模型理解 ：preference optimization(abstract)

Comments Project Page: https://sihuiji.github.io/PhysMaster-Page/

QUIDS: Query Intent Description for Exploratory Search via Dual Space Modeling

Yumeng Wang, Xiuying Chen, Suzan Verberne

专题命中 知识编辑与模型理解 ：LLM(abstract)

Aligning Large Language Models to Low-Resource Languages through LLM-Based Selective Translation: A Systematic Study

Rakesh Paul, Anusha Kamath, Kanishk Singla, Raviraj Joshi, Utkarsh Vaidya, Sanjay Singh Chauhan, Niranjan Wartikar

机构 * NVIDIA 纠错

专题命中 其他LLM ：LLM(title,abstract)；large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.LG

Developing and Validating the Arabic Version of the Attitudes Toward Large Language Models Scale

Basad Barajeeh, Ala Yankouskaya, Sameha AlShakhsi, Chun Sing Maxwell Ho, Guandong Xu, Raian Ali

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

Comments 28 Pages

Stable LLM Ensemble: Interaction between Example Representativeness and Diversity

Junichiro Niimi

机构 * Meijo University（名古屋大学） ； RIKEN AIP（理化学研究所AIP） 纠错

专题命中 其他LLM ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；prompting(abstract)

In-Browser LLM-Guided Fuzzing for Real-Time Prompt Injection Testing in Agentic AI Browsers

Avihay Cohen

机构 * Avihay Cohen 纠错

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

Comments 37 pages , 10 figures

Emotional Cognitive Modeling Framework with Desire-Driven Objective Optimization for LLM-empowered Agent in Social Simulation

Qun Ma, Xiao Xue, Xuwen Zhang, Zihan Zhao, Yuwei Guo, Ming Zhang

机构 * College of Intelligence and Computing（智能与计算学院） ； Faculty of Environment, Science and Economy（环境、科学与经济学院） 纠错

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

Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS

Liangwei Nathan Zheng, Wenhao Liang, Wei Emma Zhang, Miao Xu, Olaf Maennel, Weitong Chen

机构 * The University of Adelaide（阿德莱德大学） ； The University of Queensland（昆士兰大学） 纠错

专题命中 其他LLM ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.LG

(R)evolution of Programming: Vibe Coding as a Post-Coding Paradigm

Kevin Krings, Nino S. Bohn, Thomas Ludwig

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

Comments Workshop Contribution at the sixth decennial Aarhus conference in "The End of Programming (as we know it) - Envisioning Radical Re-Conceptualizations of Co-Coding with AI"

Coordination Requires Simplification: Thermodynamic Bounds on Multi-Objective Compromise in Natural and Artificial Intelligence

Atma Anand

机构 * Department of Physics and Astronomy, University of Rochester（物理与天文学系，罗切斯特大学） 纠错

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

Comments 15 pages, 1 figure, 9 pages supplementary material, submitted to Journal of Physics: Complexity

Reliable Decision Making via Calibration Oriented Retrieval Augmented Generation

Chaeyun Jang, Deukhwan Cho, Seanie Lee, Hyungi Lee, Juho Lee

机构 * KAIST（韩国科学技术院） ； Kookmin University（韩国釜山大学） 纠错

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

Comments Accepted by NeurIPS 2025

EPIPTrack: Rethinking Prompt Modeling with Explicit and Implicit Prompts for Multi-Object Tracking

Yukuan Zhang, Jiarui Zhao, Shangqing Nie, Jin Kuang, Shengsheng Wang

机构 * College of Computer Science and Technology, Jilin University（吉林大学计算机科学与技术学院） ； Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University（吉林大学教育部长春符号计算与知识工程重点实验室） ； Yangtze University（扬子大学） 纠错

专题命中 其他LLM ：large language model(abstract)；language model(abstract)

TIFIN India at SemEval-2025: Harnessing Translation to Overcome Multilingual IR Challenges in Fact-Checked Claim Retrieval

Prasanna Devadiga, Arya Suneesh, Pawan Kumar Rajpoot, Bharatdeep Hazarika, Aditya U Baliga

机构 * TIFIN India（TIFIN印度） 纠错

专题命中 其他LLM ：LLM(abstract)；分类 cs.CL

Journal ref Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 2297-2304, 2025

A theory-based AI automation exposure index: Applying Moravec's Paradox to the US labor market

Jacob Schaal

专题命中 其他LLM ：LLM(abstract)