语言大模型 / LLM

Online Video Depth Anything: Temporally-Consistent Depth Prediction with Low Memory Consumption

Johann-Friedrich Feiden, Tim Küchler, Denis Zavadski, Bogdan Savchynskyy, Carsten Rother

机构 * Heidelberg University（海德堡大学） 纠错

专题命中 效率与部署 ：large language model(abstract)；language model(abstract)

Don't Just Chase "Highlighted Tokens" in MLLMs: Revisiting Visual Holistic Context Retention

Xin Zou, Di Lu, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Xu Zheng, Linfeng Zhang, Xuming Hu

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州）） ； The Hong Kong University of Science and Technology（香港科学与技术大学） ； Shanghai Jiao Tong University（上海交通大学） 纠错

专题命中 效率与部署 ：large language model(abstract)；language model(abstract)

Comments Accepted by NeurIPS 2025 main

Neural Beam Field for Spatial Beam RSRP Prediction

Keqiang Guo, Yuheng Zhong, Xin Tong, Jiangbin Lyu, Rui Zhang

机构 * School of Informatics, Xiamen University (XMU)（厦门大学信息学院） ； Shenzhen Research Institute of XMU（厦门大学深圳研究院） ； Sichuan Institute of XMU（厦门大学四川研究院） ； Department of Electrical and Computer Engineering, National University of Singapore（新加坡国立大学电子与计算机工程系） 纠错

专题命中 效率与部署 ：pretraining(abstract)；分类 cs.AI、cs.LG

Comments Keywords: Neural Beam Field, Multipath Conditional Power Profile, Channel Knowledge Map, Beam-level RSRP, Transformer. Revised technical presentation and added more benchmark comparisons

Robustness in Both Domains: CLIP Needs a Robust Text Encoder

Elias Abad Rocamora, Christian Schlarmann, Naman Deep Singh, Yongtao Wu, Matthias Hein, Volkan Cevher

专题命中 效率与部署 ：language model(abstract)；分类 cs.AI、cs.LG

Comments Accepted in NeurIPS 2025

HES-SQL: Hybrid Reasoning for Efficient Text-to-SQL with Structural Skeleton Guidance

Suming Qiu, Jing Li, Zhicheng Zhou, Junjie Huang, Linyuan Qiu, Zhijie Sun

专题命中 效率与部署 ：SFT(abstract)；分类 cs.CL、cs.AI

In-Context Learning for Non-Stationary MIMO Equalization

Jiachen Jiang, Zhen Qin, Zhihui Zhu

机构 * Department of Computer Science and Engineering, The Ohio State University（计算机科学与工程系，俄亥俄州立大学） ； Michigan Institute for Computational Discovery and Engineering, University of Michigan（密歇根大学计算发现与工程研究所） ； Department of Electrical Engineering and Computer Science, University of Michigan（电气工程与计算机科学系，密歇根大学） ； Department of Statistics, University of Michigan（统计学系，密歇根大学） 纠错

专题命中 效率与部署 ：foundation model(abstract)；分类 cs.AI、cs.LG

LOTION: Smoothing the Optimization Landscape for Quantized Training

Mujin Kwun, Depen Morwani, Chloe Huangyuan Su, Stephanie Gil, Nikhil Anand, Sham Kakade

机构 * Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University（哈佛大学自然与人工智能研究学院） 纠错

专题命中 效率与部署 ：language model(abstract)；分类 cs.LG

Comments 9 pages of main text + appendices

Agreement-Based Cascading for Efficient Inference

Steven Kolawole, Don Dennis, Ameet Talwalkar, Virginia Smith

机构 * Carnegie Mellon University（卡内基梅隆大学） 纠错

专题命中 效率与部署 ：LLM(abstract)；分类 cs.LG

Comments Published at TMLR (July 2025)

Journal ref TMLR 2025

Mozart: A Chiplet Ecosystem-Accelerator Codesign Framework for Composable Bespoke Application Specific Integrated Circuits

Haoran Jin, Jirong Yang, Yunpeng Liu, Barry Lyu, Kangqi Zhang, Nathaniel Bleier

专题命中 效率与部署 ：LLM(abstract)

FOLK: Fast Open-Vocabulary 3D Instance Segmentation via Label-guided Knowledge Distillation

Hongrui Wu, Zhicheng Gao, Jin Cao, Kelu Yao, Wen Shen, Zhihua Wei

专题命中 效率与部署 ：language model(abstract)

From Captions to Keyframes: KeyScore for Multimodal Frame Scoring and Video-Language Understanding

Shih-Yao Lin, Sibendu Paul, Caren Chen

机构 * Amazon Prime Video（亚马逊Prime视频） 纠错

专题命中 效率与部署 ：language model(abstract)

Comments 10 pages, 4 figures

AD-LLM: Benchmarking Large Language Models for Anomaly Detection

Tiankai Yang, Yi Nian, Shawn Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan Rossi, Kaize Ding, Xia Hu, Yue Zhao

机构 * University of Southern California（南加州大学） ； Northwestern University（西北大学） ； Arizona State University（亚利桑那州立大学） ； Adobe Research（Adobe研究） ； Rice University（里士满大学） 纠错

专题命中 领域大模型 ：LLM(title,abstract)；large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Comments Accepted to Findings of the Association for Computational Linguistics (ACL 2025), Vienna, Austria

Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research

Xiang Liu, Penglei Sun, Shuyan Chen, Longhan Zhang, Peijie Dong, Huajie You, Yongqi Zhang, Chang Yan, Xiaowen Chu, Tong-yi Zhang

机构 * The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州）） ； Guangzhou Municipal Key Laboratory of Materials Informatics（广州市材料信息学重点实验室） 纠错

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

Comments EMNLP 2025 Findings; NeurIPS 2025 AI for Science Workshop

From What to Why: Thought-Space Recommendation with Small Language Models

Prosenjit Biswas, Pervez Shaik, Abhinav Thorat, Ravi Kolla, Niranjan Pedanekar

机构 * Sony Research India（索尼印度研究） 纠错

专题命中 领域大模型 ：language model(title,abstract)；small language model(title,abstract)；LLM(abstract)；large language model(abstract)

Comments 15 pages, 3 figures

Revealing Interconnections between Diseases: from Statistical Methods to Large Language Models

Alina Ermilova, Dmitrii Kornilov, Sofia Samoilova, Ekaterina Laptenkova, Anastasia Kolesnikova, Ekaterina Podplutova, Senotrusova Sofya, Maksim G. Sharaev

机构 * Both authors contributed equally（共同第一作者） 纠错

专题命中 领域大模型 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.AI、cs.LG

Gender Bias in Large Language Models for Healthcare: Assignment Consistency and Clinical Implications

Mingxuan Liu, Yuhe Ke, Wentao Zhu, Mayli Mertens, Yilin Ning, Jingchi Liao, Chuan Hong, Daniel Shu Wei Ting, Yifan Peng, Danielle S. Bitterman, Marcus Eng Hock Ong, Nan Liu

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

Do Large Language Models Speak Scientific Workflows?

Orcun Yildiz, Tom Peterka

专题命中 领域大模型 ：large language model(title,abstract)；language model(title,abstract)

DDO: Dual-Decision Optimization for LLM-Based Medical Consultation via Multi-Agent Collaboration

Zhihao Jia, Mingyi Jia, Junwen Duan, Jianxin Wang

机构 * Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University（湖南生物信息省级重点实验室，计算机科学与工程学院，中南大学） 纠错

专题命中 领域大模型 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Accepted to EMNLP 2025

Medchain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence

Jie Liu, Wenxuan Wang, Zizhan Ma, Guolin Huang, Yihang SU, Kao-Jung Chang, Wenting Chen, Haoliang Li, Linlin Shen, Michael Lyu

机构 * The City University of Hong Kong（香港城市大学） ； Renmin University of China（中国人民大学） ； The Chinese University of Hong Kong（香港中文大学） ； Shenzhen University（深圳大学） ； National Yang Ming Chiao Tung University（阳明交通大学） ； Taipei Veterans General Hospital（台北荣民总医院） 纠错

专题命中 领域大模型 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments Accepted by NeurIPS25 Spotlight

Foundation Models for Astrobiology: Paper I -- Workshop and Overview

Ryan Felton, Caleb Scharf, Stuart Bartlett, Nathalie A. Cabrol, Victoria Da Poian, Diana Gentry, Jian Gong, Adrienne Hoarfrost, Manil Maskey, Floyd Nichols, Conor A. Nixon, Tejas Panambur, Joseph Pasterski, Anton S. Petrov, Anirudh Prabhu, Brenda Thomson, Hamed Valizadegan, Kimberley Warren-Rhodes, David Wettergreen, Michael L. Wong, Anastasia Yanchilina

专题命中 领域大模型 ：foundation model(title,abstract)；large language model(abstract)；language model(abstract)

Comments 39 pages, 6 figures, 2 tables, 1 glossary, 4 supplemental pages

Domain-Adapted Pre-trained Language Models for Implicit Information Extraction in Crash Narratives

Xixi Wang, Jordanka Kovaceva, Miguel Costa, Shuai Wang, Francisco Camara Pereira, Robert Thomson

机构 * Department of Technology, Management and Economics, Technical University of Denmark（技术、管理与经济系，丹麦技术大学） ； Department of Mechanics and Maritime Sciences, Chalmers University of Technology（机械与航海科学系，查尔姆斯理工大学） ； Department of Computer Science and Engineering, Chalmers University of Technology（计算机科学与工程系，查尔姆斯理工大学） 纠错

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

Understanding the Effects of Domain Finetuning on LLMs

Eshaan Tanwar, Deepak Nathani, William Yang Wang, Tanmoy Chakraborty

机构 * University of Copenhagen（哥本哈根大学） ； University of California, Santa Barbara（加州大学圣巴巴拉分校） ； Indian Institute of Technology, Delhi（德里印度理工学院） 纠错

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

Man-Made Heuristics Are Dead. Long Live Code Generators!

Rohit Dwivedula, Divyanshu Saxena, Aditya Akella, Swarat Chaudhuri, Daehyeok Kim

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 领域大模型 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.LG

Comments 10 pages, 2 figures, 2 tables. To be presented at HotNets 2025

Exploring Teachers' Perceptions of ChatGPT Through Prompt Engineering

Dimitrios Gousopoulos

专题命中 领域大模型 ：LLM(abstract)；large language model(abstract)；language model(abstract)

When Retrieval Succeeds and Fails: Rethinking Retrieval-Augmented Generation for LLMs

Yongjie Wang, Yue Yu, Kaisong Song, Jun Lin, Zhiqi Shen

机构 * Alibaba-NTU Global e-Sustainability CorpLab（阿里巴巴-国立大学全球可持续性公司实验室） ； Nanyang Technological University（南洋理工大学） ； Tongyi Lab, Alibaba Group（通义实验室，阿里巴巴集团） ； College of Computing & Data Science, Nanyang Technological University（计算与数据科学学院，南洋理工大学） 纠错

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

Comments Under Review

Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations

David N. Palacio, Daniel Rodriguez-Cardenas, Alejandro Velasco, Dipin Khati, Kevin Moran, Denys Poshyvanyk

机构 * University of Central Florida（佛罗里达中央大学） 纠错

专题命中 领域大模型 ：LLM(abstract)；分类 cs.AI、cs.LG

Comments Under Review to appear in ACM Transactions on Software Engineering and Methodology (TOSEM)

IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data

Tao Feng, Lizhen Qu, Niket Tandon, Gholamreza Haffari

机构 * Monash University（莫纳什大学） ； Microsoft Research, India（微软研究院，印度） 纠错

专题命中 领域大模型 ：LLM(abstract)；分类 cs.CL、cs.LG

Comments ACL 2025

Hypothesis Hunting with Evolving Networks of Autonomous Scientific Agents

Tennison Liu, Silas Ruhrberg Estévez, David L. Bentley, Mihaela van der Schaar

机构 * DAMTP, University of Cambridge（剑桥大学 DAMTP 部门） ； School of Medicine, University of Colorado（科罗拉多大学医学院） 纠错

专题命中 领域大模型 ：LLM(abstract)；分类 cs.AI、cs.LG

Weights initialization of neural networks for function approximation

Xinwen Hu, Yunqing Huang, Nianyu Yi, Peimeng Yin

机构 * School of Mathematics and Computational Science（数学与计算科学学院） ； National Center for Applied Mathematics in Hunan（湖南应用数学研究中心） ； Hunan Key Laboratory for Computation and Simulation in Science and Engineering（计算与工程科学与工程计算模拟湖南重点实验室） ； University of Texas at El Paso（德克萨斯埃尔帕索大学） 纠错

专题命中 领域大模型 ：pretraining(abstract)；分类 cs.LG

Comments 19 pages, 10 figures

SAM2-3dMed: Empowering SAM2 for 3D Medical Image Segmentation

Yeqing Yang, Le Xu, Lixia Tian

机构 * Beijing Jiaotong University（北京交通大学） 纠错

专题命中 领域大模型 ：foundation model(abstract)