语言大模型 / LLM

Beyond Cosine Decay: On the effectiveness of Infinite Learning Rate Schedule for Continual Pre-training

Vaibhav Singh, Paul Janson, Paria Mehrbod, Adam Ibrahim, Irina Rish, Eugene Belilovsky, Benjamin Thérien

机构 * Mila – Quebec AI Institute（魁北克人工智能研究所） ； Concordia University（康科迪亚大学） ； Université de Montréal（蒙特利尔大学） 纠错

专题命中 评测与基准 ：language model(abstract)；分类 cs.LG

Comments Accepted (oral) at Fourth Conference on Lifelong Learning Agents - CoLLAs 2025

AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box Models

Rebecca Martin, Jay Patrikar, Sebastian Scherer

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

专题命中 评测与基准 ：LLM(abstract)

Symmetry Interactive Transformer with CNN Framework for Diagnosis of Alzheimer's Disease Using Structural MRI

Zheng Yang, Yanteng Zhang, Xupeng Kou, Yang Liu, Chao Ren

机构 * College of Electronics and Information Engineering, Sichuan University, China（四川大学电子信息工程学院） ； Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (GSU, Georgia Tech, Emory), Atlanta, USA（跨机构神经影像与数据科学转化研究中心） ； College of Information and Electrical Engineering, China Agricultural University, China（中国农业大学信息与电气工程学院） ； School of Biomedical Engineering and Imaging Sciences, King's College London, UK（伦敦国王学院生物医学工程与影像科学学院） 纠错

专题命中 评测与基准 ：pretraining(abstract)

Vector embedding of multi-modal texts: a tool for discovery?

Beth Plale, Sai Navya Jyesta, Sachith Withana

专题命中 评测与基准 ：language model(abstract)

RetinaGuard: Obfuscating Retinal Age in Fundus Images for Biometric Privacy Preserving

Zhengquan Luo, Chi Liu, Dongfu Xiao, Zhen Yu, Yueye Wang, Tianqing Zhu

机构 * Faculty of Data Science（数据科学学院） ； Faculty of lnformation Technology（信息技术学院） ； Faculty of Health and Social Sciences（健康与社会科学学院） 纠错

专题命中 评测与基准 ：foundation model(abstract)

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing

Wenhao Zheng, Yixiao Chen, Weitong Zhang, Souvik Kundu, Yun Li, Zhengzhong Liu, Eric P. Xing, Hongyi Wang, Huaxiu Yao

机构 * The University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校） ； Intel（英特尔） ； Carnegie Mellon University（卡内基梅隆大学） ； Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·拉希德人工智能大学） ； Rutgers University（罗格斯大学） 纠错

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

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning

Wei Huang, Anda Cheng, Yinggui Wang

机构 * Ant Group（蚂蚁集团） 纠错

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

Comments Accepted by emnlp2025

No for Some, Yes for Others: Persona Prompts and Other Sources of False Refusal in Language Models

Flor Miriam Plaza-del-Arco, Paul Röttger, Nino Scherrer, Emanuele Borgonovo, Elmar Plischke, Dirk Hovy

机构 * LIACS, Leiden University（莱顿大学 LIACS） ； Bocconi University（博科尼大学） ； Independent Researcher（独立研究者） ； Boconni University（博科尼大学） ； Helmholtz-Zentrum Dresden-Rossendorf（德累斯顿-罗斯托克亥姆霍兹中心） 纠错

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

LLM-Guided Ansätze Design for Quantum Circuit Born Machines in Financial Generative Modeling

Yaswitha Gujju, Romain Harang, Tetsuo Shibuya

机构 * Computer Science University of Tokyo Tokyo, Japan（计算机科学东京大学东京日本） 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

Comments Work presented at the 3rd International Workshop on Quantum Machine Learning: From Research to Practice (QML@QCE'25)

Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing

Jeffrey Amico, Gabriel Passamani Andrade, John Donaghy, Ben Fielding, Tristin Forbus, Harry Grieve, Semih Kara, Jari Kolehmainen, Yihua Lou, Christopher Nies, Edward Phillip Flores Nuño, Diogo Ortega, Shikhar Rastogi, Austin Virts, Matthew J. Wright

机构 * Gensyn AI Team（Gensyn AI团队） 纠错

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

Comments 14 pages, 6 figures

Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation

Chuanqi Cheng, Jian Guan, Wei Wu, Rui Yan

机构 * Gaoling School of Artificial Intelligence, Renmin University of China（中国人民大学北京校区人工智能学院） ； School of Artificial Intelligence, Wuhan University（武汉大学人工智能学院） 纠错

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

Comments Accepted by ICML 2025

TweakLLM: A Routing Architecture for Dynamic Tailoring of Cached Responses

Muhammad Taha Cheema, Abeer Aamir, Khawaja Gul Muhammad, Naveed Anwar Bhatti, Ihsan Ayyub Qazi, Zafar Ayyub Qazi

机构 * Department of Computer Science（计算机科学系） ； Lahore University of Management Sciences（拉合尔管理科学大学） 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.LG

Comments 13 pages, 9 figures

Privacy Preserving Semantic Communications Using Vision Language Models: A Segmentation and Generation Approach

Haoran Chang, Mingzhe Chen, Huaxia Wang, Qianqian Zhang

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

Comments 6 pages, 6 figures, Accepted at IEEE MILCOM 2025

EvolKV: Evolutionary KV Cache Compression for LLM Inference

Bohan Yu, Yekun Chai

机构 * School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences（中国科学院大学先进交叉学科学院） ； The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, CAS（复杂系统认知与决策智能重点实验室） ； ETH Zurich（苏黎世联邦理工学院） 纠错

专题命中 效率与部署 ：LLM(title)；分类 cs.CL、cs.LG

Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism

Jiaming Yan, Jianchun Liu, Hongli Xu, Liusheng Huang

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

Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization

Kai Yi

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

Comments PhD Dissertation

Design and Implementation of Code Completion System Based on LLM and CodeBERT Hybrid Subsystem

Bingbing Zhang, Ziyu Lin, Yingxin Su

专题命中 效率与部署 ：LLM(title)

BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion

Sike Xiang, Shuang Chen, Amir Atapour-Abarghouei

机构 * Department of Computer Science, Durham University（计算机科学系，杜伦大学） 纠错

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

Facet: highly efficient E(3)-equivariant networks for interatomic potentials

Nicholas Miklaucic, Lai Wei, Rongzhi Dong, Nihang Fu, Sadman Sadeed Omee, Qingyang Li, Sourin Dey, Victor Fung, Jianjun Hu

机构 * Department of Computer Science and Engineering, University of South Carolina（南卡罗来纳大学计算机科学与工程系） ； Computational Science and Engineering, Georgia Institute of Technology（佐治亚理工学院计算科学与工程系） 纠错

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

MMM-fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Trade-offs

Swati Swati, Arjun Roy, Emmanouil Panagiotou, Eirini Ntoutsi

机构 * University of the Bundeswehr（德国联邦国防军大学） ； Free University Berlin（柏林自由大学） 纠错

专题命中 效率与部署 ：LLM(abstract)；分类 cs.LG

Comments Accepted to be published in the Proceedings of the 34th ACM International Conference on Information and Knowledge Management, November 10--14, 2025, Seoul, Republic of Korea

Hetis: Serving LLMs in Heterogeneous GPU Clusters with Fine-grained and Dynamic Parallelism

Zizhao Mo, Jianxiong Liao, Huanle Xu, Zhi Zhou, Chengzhong Xu

专题命中 效率与部署 ：LLM(abstract)

Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse

Jinwoo Hwang, Daeun Kim, Sangyeop Lee, Yoonsung Kim, Guseul Heo, Hojoon Kim, Yunseok Jeong, Tadiwos Meaza, Eunhyeok Park, Jeongseob Ahn, Jongse Park

机构 * Korea University（韩国大学） 纠错

专题命中 效率与部署 ：language model(abstract)

Comments Accepted to 2025 VLDB

NOWJ@COLIEE 2025: A Multi-stage Framework Integrating Embedding Models and Large Language Models for Legal Retrieval and Entailment

Hoang-Trung Nguyen, Tan-Minh Nguyen, Xuan-Bach Le, Tuan-Kiet Le, Khanh-Huyen Nguyen, Ha-Thanh Nguyen, Thi-Hai-Yen Vuong, Le-Minh Nguyen

机构 * VNU University of Engineering and Technology（越南工程大学） ； Japan Advanced Institute of Science and Technology（日本先进科学研究院） ； Center for Juris-Informatics, ROIS-DS（法律信息中心，ROIS-DS） ； Research and Development Center for Large Language Models, NII（大型语言模型研发中心，NII） 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.CL、cs.AI

SciGPT: A Large Language Model for Scientific Literature Understanding and Knowledge Discovery

Fengyu She, Nan Wang, Hongfei Wu, Ziyi Wan, Jingmian Wang, Chang Wang

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

From Limited Data to Rare-event Prediction: LLM-powered Feature Engineering and Multi-model Learning in Venture Capital

Mihir Kumar, Aaron Ontoyin Yin, Zakari Salifu, Kelvin Amoaba, Afriyie Kwesi Samuel, Fuat Alican, Yigit Ihlamur

机构 * University of Oxford（牛津大学） ； Vela Research（维拉研究） 纠错

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

Comments 6 pages, 3 figures

Who Gets Seen in the Age of AI? Adoption Patterns of Large Language Models in Scholarly Writing and Citation Outcomes

Farhan Kamrul Khan, Hazem Ibrahim, Nouar Aldahoul, Talal Rahwan, Yasir Zaki

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

Comments 11 pages, 5 figures

Building High-Quality Datasets for Portuguese LLMs: From Common Crawl Snapshots to Industrial-Grade Corpora

Thales Sales Almeida, Rodrigo Nogueira, Helio Pedrini

机构 * Institute of Computing, University of Campinas（计算机学院，坎皮纳斯大学） ； Maritaca AI 纠错

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

All for law and law for all: Adaptive RAG Pipeline for Legal Research

Figarri Keisha, Prince Singh, Pallavi, Dion Fernandes, Aravindh Manivannan, Ilham Wicaksono, Faisal Ahmad, Wiem Ben Rim

机构 * University College London（伦敦大学学院） 纠错

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

Comments submitted to NLLP 2025 Workshop

<think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMs

Sergey Pletenev, Daniil Moskovskiy, Alexander Panchenko

机构 * AIRI ； Skoltech 纠错

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

Retrieval-Augmented VLMs for Multimodal Melanoma Diagnosis

Jihyun Moon, Charmgil Hong

机构 * Handong Global University（-handong全球大学） 纠错

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

Comments Medical Image Computing and Computer-Assisted Intervention (MICCAI) ISIC Skin Image Analysis Workshop (MICCAI ISIC) 2025; 10 pages