语言大模型 / LLM

Yet another algorithmic bias: A Discursive Analysis of Large Language Models Reinforcing Dominant Discourses on Gender and Race

Gustavo Bonil, Simone Hashiguti, Jhessica Silva, João Gondim, Helena Maia, Nádia Silva, Helio Pedrini, Sandra Avila

机构 * Instituto de Estudos da Linguagem (IEL), Universidade Estadual de Campinas (UNICAMP)（语言研究学院（IEL），Campinas州立大学（UNICAMP）） ； Instituto de Computação (IC), Universidade Estadual de Campinas (UNICAMP)（计算学院（IC），Campinas州立大学（UNICAMP）） ； Instituto de Informática, Universidade Federal de Goiás (UFG)（信息学院，戈亚斯联邦大学（UFG）） 纠错

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

Comments 29 pages, 3 figures

Chem3DLLM: 3D Multimodal Large Language Models for Chemistry

Lei Jiang, Shuzhou Sun, Biqing Qi, Yuchen Fu, Xiaohua Xu, Yuqiang Li, Dongzhan Zhou, Tianfan Fu

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

Comments 15 pages, 9 figures

When Language Overrules: Revealing Text Dominance in Multimodal Large Language Models

Huyu Wu, Meng Tang, Xinhan Zheng, Haiyun Jiang

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

Technical Report: Facilitating the Adoption of Causal Inference Methods Through LLM-Empowered Co-Pilot

Jeroen Berrevoets, Julianna Piskorz, Robert Davis, Harry Amad, Jim Weatherall, Mihaela van der Schaar

机构 * University of Cambridge（剑桥大学） ； AstraZeneca（阿斯利康） 纠错

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

Warehouse Spatial Question Answering with LLM Agent

Hsiang-Wei Huang, Jen-Hao Cheng, Kuang-Ming Chen, Cheng-Yen Yang, Bahaa Alattar, Yi-Ru Lin, Pyongkun Kim, Sangwon Kim, Kwangju Kim, Chung-I Huang, Jenq-Neng Hwang

机构 * Information Processing Lab, University of Washington, USA（华盛顿大学信息处理实验室） ； Electronics and Telecommunications Research Institute, South Korea（韩国电子电信研究院） ； National Center for High-performance Computing, Taiwan（台湾高性能计算国家研究中心） 纠错

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

Comments 1st Place Solution of the 9th AI City Challenge Track 3

Leveraging large language models for SQL behavior-based database intrusion detection

Meital Shlezinger, Shay Akirav, Lei Zhou, Liang Guo, Avi Kessel, Guoliang Li

机构 * Huawei Tel Aviv Research Center（华为特拉维夫研究中心） ； Huawei Technologies Co. LTD（华为技术有限公司） ； Tsinghua University（清华大学） 纠错

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

REFN: A Reinforcement-Learning-From-Network Framework against 1-day/n-day Exploitations

Tianlong Yu, Lihong Liu, Ziyi Zhou, Fudu Xing, Kailong Wang, Yang Yang

机构 * School of Artificial Intelligence, Hubei University（湖北大学人工智能学院） ； Huazhong University of Science and Technology（华中科技大学） ； University of Southern California（美国南加州大学） 纠错

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

EXAONE Path 2.0: Pathology Foundation Model with End-to-End Supervision

Myeongjang Pyeon, Janghyeon Lee, Minsoo Lee, Juseung Yun, Hwanil Choi, Jonghyun Kim, Jiwon Kim, Yi Hu, Jongseong Jang, Soonyoung Lee

机构 * LG AI Research（LG人工智能研究院） 纠错

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

Comments EXAONE Path 2.0 technical report

Meta-Metrics and Best Practices for System-Level Inference Performance Benchmarking

Shweta Salaria, Zhuoran Liu, Nelson Mimura Gonzalez

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

Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free

Euntae Choi, Sumin Song, Woosang Lim, Sungjoo Yoo

机构 * Seoul National University（首尔国立大学） 纠错

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

Comments 7 pages

ASPD: Unlocking Adaptive Serial-Parallel Decoding by Exploring Intrinsic Parallelism in LLMs

Keyu Chen, Zhifeng Shen, Daohai Yu, Haoqian Wu, Wei Wen, Jianfeng He, Ruizhi Qiao, Xing Sun

机构 * Youtu Team（你Tube团队） 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 20 pages, 9 figures

Hierarchical Cross-modal Prompt Learning for Vision-Language Models

Hao Zheng, Shunzhi Yang, Zhuoxin He, Jinfeng Yang, Zhenhua Huang

机构 * South China Normal University（华南师范大学） ； Shenzhen Polytechnic University（深圳职业技术大学） 纠错

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

Comments Accepted by ICCV2025

SSRL: Self-Search Reinforcement Learning

Yuchen Fan, Kaiyan Zhang, Heng Zhou, Yuxin Zuo, Yanxu Chen, Yu Fu, Xinwei Long, Xuekai Zhu, Che Jiang, Yuchen Zhang, Li Kang, Gang Chen, Cheng Huang, Zhizhou He, Bingning Wang, Lei Bai, Ning Ding, Bowen Zhou

机构 * Tsinghua University（清华大学） ； Shanghai Jiao Tong University（上海交通大学） ； Shanghai AI Laboratory（上海人工智能实验室） ； University College London（伦敦大学学院） ； CSCEC Third Bureau（中建第三工程局） ； WeChat AI（微信AI） 纠错

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

Guided Navigation in Knowledge-Dense Environments: Structured Semantic Exploration with Guidance Graphs

Dehao Tao, Guangjie Liu, Weizheng, Yongfeng Huang, Minghu jiang

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

Data Pruning by Information Maximization

Haoru Tan, Sitong Wu, Wei Huang, Shizhen Zhao, Xiaojuan Qi

机构 * The University of Hong Kong（香港大学） ； The Chinese University of Hong Kong（香港中文大学） 纠错

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

Comments Code is available at \url{https://github.com/hrtan/InfoMax}

From Data Center IoT Telemetry to Data Analytics Chatbots -- Virtual Knowledge Graph is All You Need

Junaid Ahmed Khan, Hiari Pizzini Cavagna, Andrea Proia, Andrea Bartolini

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

Comments 12 pages

Rollout Roulette: A Probabilistic Inference Approach to Inference-Time Scaling of LLMs using Particle-Based Monte Carlo Methods

Isha Puri, Shivchander Sudalairaj, Guangxuan Xu, Kai Xu, Akash Srivastava

机构 * MIT CSAIL（麻省理工学院计算机科学与人工智能实验室） ； RedHat AI Innovation（红帽人工智能创新） 纠错

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

FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training

Philip Zmushko, Aleksandr Beznosikov, Martin Takáč, Samuel Horváth

机构 * Moscow Institute of Physics and Technology, Russia（莫斯科物理技术学院） ； Ivannikov Institute for System Programming RAS, Russia（伊万诺夫系统编程研究所） ； Skolkovo Institute of Science and Technology, Russia（斯克尔罗沃科学与技术研究所） ； Mohamed bin Zayed University of Artificial Intelligence, UAE（穆罕默德·本·扎耶德人工智能大学） 纠错

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

Advancing Cross-lingual Aspect-Based Sentiment Analysis with LLMs and Constrained Decoding for Sequence-to-Sequence Models

Jakub Šmíd, Pavel Přibáň, Pavel Král

机构 * Department of Computer Science and Engineering, University of West Bohemia in Pilsen（计算机科学与工程系，西波赫大学） 纠错

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

Comments Published in Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 2 (ICAART 2025). Official version: https://www.scitepress.org/Link.aspx?doi=10.5220/0013349400003890

Semantic-aware DropSplat: Adaptive Pruning of Redundant Gaussians for 3D Aerial-View Segmentation

Xu Tang, Junan Jia, Yijing Wang, Jingjing Ma, Xiangrong Zhang

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

Comments 9 pages, 4 figures

Stepwise Decomposition and Dual-stream Focus: A Novel Approach for Training-free Camouflaged Object Segmentation

Chao Yin, Hao Li, Kequan Yang, Jide Li, Pinpin Zhu, Xiaoqiang Li

机构 * Shanghai University（上海大学） ； University of the Chinese Academy of Sciences（中国科学院大学） 纠错

专题命中 效率与部署 ：prompting(abstract)

Comments accepted by ACM MM2025

Reinforcement Learning meets Masked Video Modeling : Trajectory-Guided Adaptive Token Selection

Ayush K. Rai, Kyle Min, Tarun Krishna, Feiyan Hu, Alan F. Smeaton, Noel E. O'Connor

机构 * Insight Research Ireland Centre for Data Analytics, Dublin City University（爱尔兰洞察研究机构数据分析中心、都柏林城市大学） ； Intel Labs, USA（美国英特尔实验室） 纠错

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

Comments Accepted in ICCVW 2025 - Long Multi-Scene Video Foundations Workshop