语言大模型 / LLM

LLMartini: Seamless and Interactive Leveraging of Multiple LLMs through Comparison and Composition

Yingtian Shi, Jinda Yang, Yuhan Wang, Yiwen Yin, Haoyu Li, Kunyu Gao, Chun Yu

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

BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping

Zhiheng Xi, Xin Guo, Yang Nan, Enyu Zhou, Junrui Shen, Wenxiang Chen, Jiaqi Liu, Jixuan Huang, Zhihao Zhang, Honglin Guo, Xun Deng, Zhikai Lei, Miao Zheng, Guoteng Wang, Shuo Zhang, Peng Sun, Rui Zheng, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang

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

Comments Preprint

Benchmarking On-Device Machine Learning on Apple Silicon with MLX

Oluwaseun A. Ajayi, Ogundepo Odunayo

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

Comments 19 pages, 6 figures. Presented at the 6th Deep Learning Indaba (DLI 2024), Dakar, Senegal; non-archival presentation. Poster: https://storage.googleapis.com/indaba-public/Oluwaseun_Ajayi%20.pdf

LLMs as Sparse Retrievers:A Framework for First-Stage Product Search

Hongru Song, Yu-an Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Sen Li, Wenjun Peng, Fuyu Lv, Xueqi Cheng

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

Comments 16 pages

SORA-ATMAS: Adaptive Trust Management and Multi-LLM Aligned Governance for Future Smart Cities

Usama Antuley, Shahbaz Siddiqui, Sufian Hameed, Waqas Arif, Subhan Shah, Syed Attique Shah

机构 * organization= Department of Computer Science, National University of Computer \& Emerging Sciences , addressline= St-4 Sector 17-D On National Highway , city= Karachi , postcode= 75160 , state= , country= Pakistan ； organization= Balochistan University of Information Technology, Engineering ； organization= Department of Computer Science, Birmingham City University , addressline= STEAMhouse, Belmont Row , city= Birmingham , postcode= B4 7RQ , country= United Kingdom 纠错

专题命中 效率与部署 ：LLM(title)；分类 cs.AI

Blackbox Model Provenance via Palimpsestic Membership Inference

Rohith Kuditipudi, Jing Huang, Sally Zhu, Diyi Yang, Christopher Potts, Percy Liang

机构 * Stanford University（斯坦福大学） 纠错

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

Text or Pixels? It Takes Half: On the Token Efficiency of Visual Text Inputs in Multimodal LLMs

Yanhong Li, Zixuan Lan, Jiawei Zhou

机构 * Allen Institute for AI（艾伦人工智能研究所） ； University of Chicago（芝加哥大学） ； Stony Brook University（石溪大学） 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 Accepted to EMNLP 2025 Findings ("Text or Pixels? Evaluating Efficiency and Understanding of LLMs with Visual Text Inputs")

Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs

Dingkun Zhang, Shuhan Qi, Xinyu Xiao, Kehai Chen, Xuan Wang

机构 * Harbin Institute of Technology, Shenzhen（哈尔滨工业大学（深圳）） ； Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies（广东省新型安全智能技术重点实验室） 纠错

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

Comments EMNLP 2025 Main Conference

MUG-V 10B: High-efficiency Training Pipeline for Large Video Generation Models

Yongshun Zhang, Zhongyi Fan, Yonghang Zhang, Zhangzikang Li, Weifeng Chen, Zhongwei Feng, Chaoyue Wang, Peng Hou, Anxiang Zeng

机构 * LLM Team, Shopee Pte. Ltd.（Shopee 股份有限公司语言模型团队） 纠错

专题命中 效率与部署 ：pretraining(abstract)；post-training(abstract)；分类 cs.AI

Comments Technical Report; Project Page: https://github.com/Shopee-MUG/MUG-V

Flexible-length Text Infilling for Discrete Diffusion Models

Andrew Zhang, Anushka Sivakumar, Chiawei Tang, Chris Thomas

机构 * Department of Computer Science（计算机科学系） 纠错

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

Comments Major edit of methodology section. Matches EMNLP camera-ready version

DeCAL Tokenwise Compression

Sameer Panwar

机构 * Google DeepMind（谷歌DeepMind） 纠错

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

The Tail Tells All: Estimating Model-Level Membership Inference Vulnerability Without Reference Models

Euodia Dodd, Nataša Krčo, Igor Shilov, Yves-Alexandre de Montjoye

机构 * Imperial College London（伦敦帝国学院） 纠错

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

NeSyPr: Neurosymbolic Proceduralization For Efficient Embodied Reasoning

Wonje Choi, Jooyoung Kim, Honguk Woo

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

Comments Accepted at NeurIPS 2025

Conformal Prediction for Signal Temporal Logic Inference

Danyang Li, Yixuan Wang, Matthew Cleaveland, Mingyu Cai, Roberto Tron

机构 * Mechanical Engineering Department（机械工程系） ； Department of Mechanical Engineering（机械工程系） ； Lincoln Laboratory（林肯实验室） ； Massachusetts Institute of Technology（麻省理工学院） 纠错

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

Efficient Interleaved Speech Modeling through Knowledge Distillation

Mohammadmahdi Nouriborji, Morteza Rohanian

机构 * Nlpie Research University of Zurich（Nlpie研究所 瑞士苏黎世大学） 纠错

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

LLMBridge: Reducing Costs to Access LLMs in a Prompt-Centric Internet

Noah Martin, Abdullah Bin Faisal, Hiba Eltigani, Rukhshan Haroon, Swaminathan Lamelas, Fahad Dogar

机构 * Tufts University（塔夫茨大学） 纠错

专题命中 效率与部署 ：LLM(abstract)；分类 cs.LG

FeatureFool: Zero-Query Fooling of Video Models via Feature Map

Duoxun Tang, Xi Xiao, Guangwu Hu, Kangkang Sun, Xiao Yang, Dongyang Chen, Qing Li, Yongjie Yin, Jiyao Wang

机构 * Tsinghua University（清华大学） ； Shenzhen University of Information Technology（深圳信息学院） ； Harbin Institute of Technology（哈尔滨工业大学） ； Peng Cheng Laboratory（鹏城实验室） ； China Electronics Corporation（中国电子科技集团） ； Hong Kong University of Science and Technology（香港科技大学） 纠错

专题命中 效率与部署 ：LLM(abstract)

On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders

Wenyu Mao, Jiancan Wu, Guoqing Hu, Zhengyi Yang, Wei Ji, Xiang Wang

专题命中 效率与部署 ：pretraining(abstract)

LICO: Large Language Models for In-Context Molecular Optimization

Tung Nguyen, Aditya Grover

机构 * Department of Computer Science University of California, Los Angeles（计算机科学系 加州大学洛杉矶分校） 纠错

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

Comments International Conference on Learning Representations (ICLR 2025)

Small Language Models Offer Significant Potential for Science Community

Jian Zhang

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

Prior-informed optimization of treatment recommendation via bandit algorithms trained on large language model-processed historical records

Saman Nessari, Ali Bozorgi-Amiri

机构 * School of Industrial Engineering, College of Engineering, University of Tehran（工业工程学院，工程学院，德黑兰大学） 纠错

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

NAACL2025 Tutorial: Adaptation of Large Language Models

Zixuan Ke, Yifei Ming, Shafiq Joty

机构 * Salesforce AI Research（Salesforce人工智能研究） 纠错

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

Comments NAACL2025 Tutorial

QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training

Wei Dai, Peilin Chen, Chanakya Ekbote, Paul Pu Liang

机构 * MIT Media Lab（MIT媒体实验室） ； MIT EECS（MIT电子工程与计算机科学系） 纠错

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

Comments Accepted as Oral at NeurIPS 2025. Revision after camera ready

IM-Chat: A Multi-agent LLM Framework Integrating Tool-Calling and Diffusion Modeling for Knowledge Transfer in Injection Molding Industry

Junhyeong Lee, Joon-Young Kim, Heekyu Kim, Inhyo Lee, Seunghwa Ryu

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

AutoMT: A Multi-Agent LLM Framework for Automated Metamorphic Testing of Autonomous Driving Systems

Linfeng Liang, Chenkai Tan, Yao Deng, Yingfeng Cai, T. Y Chen, Xi Zheng

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

XGen-Q: An Explainable Domain-Adaptive LLM Framework with Retrieval-Augmented Generation for Software Security

Hamed Jelodar, Mohammad Meymani, Roozbeh Razavi-Far, Ali A. Ghorbani

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

Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback

Janet Wang, Yunbei Zhang, Zhengming Ding, Jihun Hamm

机构 * Tulane University（路易斯安那州立大学） 纠错

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

Comments NeurIPS 2025

Natural Language Processing for Cardiology: A Narrative Review

Kailai Yang, Yan Leng, Xin Zhang, Tianlin Zhang, Paul Thompson, Bernard Keavney, Maciej Tomaszewski, Sophia Ananiadou

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

Who's Asking? Investigating Bias Through the Lens of Disability Framed Queries in LLMs

Vishnu Hari, Kalpana Panda, Srikant Panda, Amit Agarwal, Hitesh Laxmichand Patel

机构 * Birla Institute of Technology and Science (BITS)（巴拉·技术与科学学院） 纠错

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

Comments Accepted at ICCV 2025

CLiVR: Conversational Learning System in Virtual Reality with AI-Powered Patients

Akilan Amithasagaran, Sagnik Dakshit, Bhavani Suryadevara, Lindsey Stockton

机构 * The University of Texas at Tyler（德克萨斯理工大学） 纠错

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