语言大模型 / LLM

Driving Style Recognition Like an Expert Using Semantic Privileged Information from Large Language Models

Zhaokun Chen, Chaopeng Zhang, Xiaohan Li, Wenshuo Wang, Gentiane Venture, Junqiang Xi

机构 * School of Mechanical Engineering, Beijing Institute of Technology（北京理工大学机械工程学院） ； Division of Energy-Mobility Convergence, Beijing Institute of Technology（北京理工大学能源-移动融合 division） ； Department of Mechanical Engineering, The University of Tokyo（东京大学机械工程系） 纠错

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

Ask Good Questions for Large Language Models

Qi Wu, Zhongqi Lu

机构 * College of Artificial Intelligence, China University of Petroleum-Beijing, China（人工智能学院，中国石油大学（北京）） ； Hainan Institute of China University of Petroleum (Beijing), Sanya, Hainan, China（海南中国石油大学（北京）研究院，三亚，海南） 纠错

专题命中 效率与部署 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.CL、cs.AI

Chain-of-Agents: End-to-End Agent Foundation Models via Multi-Agent Distillation and Agentic RL

Weizhen Li, Jianbo Lin, Zhuosong Jiang, Jingyi Cao, Xinpeng Liu, Jiayu Zhang, Zhenqiang Huang, Qianben Chen, Weichen Sun, Qiexiang Wang, Hongxuan Lu, Tianrui Qin, Chenghao Zhu, Yi Yao, Shuying Fan, Xiaowan Li, Tiannan Wang, Pai Liu, King Zhu, He Zhu, Dingfeng Shi, Piaohong Wang, Yeyi Guan, Xiangru Tang, Minghao Liu, Yuchen Eleanor Jiang, Jian Yang, Jiaheng Liu, Ge Zhang, Wangchunshu Zhou

专题命中 效率与部署 ：foundation model(title,abstract)；LLM(abstract)；large language model(abstract)；language model(abstract)

Comments 51 pages

Structured Prompting and Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference

Yunxiang Yang, Ningning Xu, Jidong J. Yang

机构 * Smart Mobility and Infrastructure Lab（智能移动与基础设施实验室） ； College of Engineering, University of Georgia（工程学院，佐治亚大学） 纠错

专题命中 效率与部署 ：prompting(title,abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments 16 pages, 10 figures, 1 table

STER-VLM: Spatio-Temporal With Enhanced Reference Vision-Language Models

Tinh-Anh Nguyen-Nhu, Triet Dao Hoang Minh, Dat To-Thanh, Phuc Le-Gia, Tuan Vo-Lan, Tien-Huy Nguyen

机构 * Ho Chi Minh University of Technology（胡志明理工大学） ； Vietnamese-German University（越德大学） ； Ho Chi Minh University of Science（胡志明理工大学） ； University of Information Technology（信息科技大学） ； Vietnam National University, Ho Chi Minh city（越南国家大学，胡志明市） 纠错

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

Comments ICCV Workshop 2025

Tree-Planted Transformers: Unidirectional Transformer Language Models with Implicit Syntactic Supervision

Ryo Yoshida, Taiga Someya, Yohei Oseki

机构 * The University of Tokyo（东京大学） 纠错

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

Comments Accepted by ACL 2024 (Findings)

Can AI Keep a Secret? Contextual Integrity Verification: A Provable Security Architecture for LLMs

Aayush Gupta

机构 * Aayush Gupta（独立研究者） 纠错

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

Comments 2 figures, 3 tables; code and certification harness: https://github.com/ayushgupta4897/Contextual-Integrity-Verification ; Elite-Attack dataset: https://huggingface.co/datasets/zyushg/elite-attack

NucEL: Single-Nucleotide ELECTRA-Style Genomic Pre-training for Efficient and Interpretable Representations

Ke Ding, Brian Parker, Jiayu Wen

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

GoAI: Enhancing AI Students' Learning Paths and Idea Generation via Graph of AI Ideas

Xian Gao, Zongyun Zhang, Ting Liu, Yuzhuo Fu

机构 * 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)；分类 cs.CL、cs.AI

Comments Work in progress

Crossing Borders Without Crossing Boundaries: How Sociolinguistic Awareness Can Optimize User Engagement with Localized Spanish AI Models Across Hispanophone Countries

Martin Capdevila, Esteban Villa Turek, Ellen Karina Chumbe Fernandez, Luis Felipe Polo Galvez, Andrea Marroquin, Rebeca Vargas Quesada, Johanna Crew, Nicole Vallejo Galarraga, Christopher Rodriguez, Diego Gutierrez, Radhi Datla

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

Revisiting MLLM Token Technology through the Lens of Classical Visual Coding

Jinming Liu, Junyan Lin, Yuntao Wei, Kele Shao, Keda Tao, Jianguo Huang, Xudong Yang, Zhibo Chen, Huan Wang, Xin Jin

机构 * Eastern Institute of Technology, Ningbo, China（东部技术研究所） ； Westlake University（西湖大学） ； USTC（中国科学技术大学） 纠错

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

FLAIR: Feedback Learning for Adaptive Information Retrieval

William Zhang, Yiwen Zhu, Yunlei Lu, Mathieu Demarne, Wenjing Wang, Kai Deng, Nutan Sahoo, Katherine Lin, Miso Cilimdzic, Subru Krishnan

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

Comments Accepted to CIKM2025

Towards Theoretical Understanding of Transformer Test-Time Computing: Investigation on In-Context Linear Regression

Xingwu Chen, Miao Lu, Beining Wu, Difan Zou

机构 * Department of XXX, University of YYY, Location, Country（XXX系，YYY大学，地点，国家） ； School of ZZZ, Institute of WWW, Location, Country（ZZZ学院，WWW研究所，地点，国家） 纠错

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

Identify, Isolate, and Purge: Mitigating Hallucinations in LVLMs via Self-Evolving Distillation

Wenhao Li, Xiu Su, Jingyi Wu, Feng Yang, Yang Liu, Yi Chen, Shan You, Chang Xu

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

Comments In Figure 2, the correlation coefficient and the scatter plot do not match. I calculated this correlation using two sets of settings. I used the scatter plot from setting A, but accidentally wrote the correlation coefficient, r, from setting B

DDD-GenDT: Dynamic Data-driven Generative Digital Twin Framework

Yu-Zheng Lin, Qinxuan Shi, Zhanglong Yang, Banafsheh Saber Latibari, Shalaka Satam, Sicong Shao, Soheil Salehi, Pratik Satam

机构 * Department of Electrical and Computer Engineering, University of Arizona（电气与计算机工程系，亚利桑那大学） ； Department of Systems and Industrial Engineering, University of Arizona（系统与工业工程系，亚利桑那大学） ； School of Electrical Engineering and Computer Science, University of North Dakota（电气工程与计算机科学学院，北达科他大学） 纠错

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

Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds

Andrew Chang, Yike Li, Iran R. Roman, David Poeppel

机构 * New York University（纽约大学） ； Queen Mary University of London（伦敦大学女王学院） ； Max Planck Society（马克斯·普朗克协会） 纠错

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

Comments Interspeech 2025

A Lightweight Dual-Mode Optimization for Generative Face Video Coding

Zihan Zhang, Shanzhi Yin, Bolin Chen, Ru-Ling Liao, Shiqi Wang, Yan Ye

机构 * Department of Computer Science, City University of Hong Kong（香港城市大学计算机科学系） ； DAMO Academy, Alibaba Group（阿里巴巴集团达摩院） ； Fudan University（复旦大学） ； Hupan Lab（虎扑实验室） 纠错

专题命中 效率与部署 ：post-training(abstract)