语言大模型 / LLM

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding

Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, Aleksander Ficek, Siddhartha Jain, Jocelyn Huang, Vahid Noroozi, Boris Ginsburg

机构 * NVIDIA Santa Clara, CA 95051, USA（NVIDIA圣克拉拉分校） 纠错

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

Comments Published at COLM 2025

Llasa+: Free Lunch for Accelerated and Streaming Llama-Based Speech Synthesis

Wenjie Tian, Xinfa Zhu, Hanke Xie, Zhen Ye, Wei Xue, Lei Xie

机构 * Northwestern Polytechnical University（西北工业大学） ； Hong Kong University of Science（香港科技大学） 纠错

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

The Fourth State: Signed-Zero Ternary for Stable LLM Quantization (and More)

Jeffrey Uhlmann

机构 * Dept. of Electrical Engineering and Computer Science University of Missouri - Columbia（电气工程与计算机科学系 密苏里大学-哥伦比亚） 纠错

专题命中 效率与部署 ：LLM(title)；分类 cs.LG

Neural Contextual Reinforcement Framework for Logical Structure Language Generation

Marcus Irvin, William Cooper, Edward Hughes, Jessica Morgan, Christopher Hamilton

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

Comments arXiv admin note: This paper has been withdrawn by arXiv due to disputed and unverifiable authorship

A Framework for Inherently Safer AGI through Language-Mediated Active Inference

Bo Wen

机构 * IBM T.J. Watson Research Center（IBM T.J. Watson研究院） 纠错

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

Scaling Personality Control in LLMs with Big Five Scaler Prompts

Gunhee Cho, Yun-Gyung Cheong

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

What Builds Effective In-Context Examples for Code Generation?

Dongze Li, Songqiang Chen, Jialun Cao, Shing-Chi Cheung

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

M2IO-R1: An Efficient RL-Enhanced Reasoning Framework for Multimodal Retrieval Augmented Multimodal Generation

Zhiyou Xiao, Qinhan Yu, Binghui Li, Geng Chen, Chong Chen, Wentao Zhang

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

KV Cache Compression for Inference Efficiency in LLMs: A Review

Yanyu Liu, Jingying Fu, Sixiang Liu, Yitian Zou, You Fu, Jiehan Zhou, Shouhua Zhang

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

Comments 12 pages

Training Plug-n-Play Knowledge Modules with Deep Context Distillation

Lucas Caccia, Alan Ansell, Edoardo Ponti, Ivan Vulić, Alessandro Sordoni

机构 * Microsoft Research Montréal（微软研究院蒙特利尔分部） ； University of Cambridge（剑桥大学） ； University of Edinburgh（爱丁堡大学） 纠错

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

Comments Accepted at the CONFERENCE ON LANGUAGE MODELING (COLM) 2025

Prosocial Behavior Detection in Player Game Chat: From Aligning Human-AI Definitions to Efficient Annotation at Scale

Rafal Kocielnik, Min Kim, Penphob, Boonyarungsrit, Fereshteh Soltani, Deshawn Sambrano, Animashree Anandkumar, R. Michael Alvarez

机构 * California Institute of Technology（加利福尼亚理工学院） ； Activision Publishing, Inc.（暴雪娱乐公司） 纠错

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

Comments 9 pages, 4 figures, 4 tables

Hierarchical Pattern Decryption Methodology for Ransomware Detection Using Probabilistic Cryptographic Footprints

Kevin Pekepok, Persephone Kirkwood, Esme Christopolous, Florence Braithwaite, Oliver Nightingale

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

Comments arXiv admin note: This paper has been withdrawn by arXiv due to disputed and unverifiable authorship

Enhancing Construction Site Analysis and Understanding with 3D Segmentation

Sri Ramana Saketh Vasanthawada, Pengkun Liu, Pingbo Tang

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

Few-Shot Deployment of Pretrained MRI Transformers in Brain Imaging Tasks

Mengyu Li, Guoyao Shen, Chad W. Farris, Xin Zhang

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

Comments 30 pages, 8 figures, 7 tables

Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Temporal Grounding

Jian Hu, Zixu Cheng, Shaogang Gong, Isabel Guan, Jianye Hao, Jun Wang, Kun Shao

机构 * Queen Mary University of London（伦敦女王学院） ； Hong Kong University of Science and Technology（香港科学与技术大学） ； Huawei Noah’s Ark Lab（华为诺亚实验室） ； University College London（伦敦大学学院） 纠错

专题命中 效率与部署 ：language model(abstract)

Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment

Zhenbang Du, Yonggan Fu, Lifu Wang, Jiayi Qian, Xiao Luo, Yingyan, Lin

机构 * Georgia Institute of Technology（佐治亚理工学院） 纠错

专题命中 效率与部署 ：post-training(abstract)

Comments Accepted by ICCV 2025

Floating-Point Data Transformation for Lossless Compression

Samirasadat Jamalidinan, Kazem Cheshmi

专题命中 效率与部署 ：language model(abstract)

TSMS-SAM2: Multi-scale Temporal Sampling Augmentation and Memory-Splitting Pruning for Promptable Video Object Segmentation and Tracking in Surgical Scenarios

Guoping Xu, Hua-Chieh Shao, You Zhang

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

Comments 23 pages, 5 figures

TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction

Zewei Zhou, Seth Z. Zhao, Tianhui Cai, Zhiyu Huang, Bolei Zhou, Jiaqi Ma

机构 * University of California, Los Angeles（加州大学洛杉矶分校） 纠错

专题命中 效率与部署 ：pretraining(abstract)

Comments ICCV 2025

DKG-LLM : A Framework for Medical Diagnosis and Personalized Treatment Recommendations via Dynamic Knowledge Graph and Large Language Model Integration

Ali Sarabadani, Maryam Abdollahi Shamami, Hamidreza Sadeghsalehi, Borhan Asadi, Saba Hesaraki

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

The Strong Pull of Prior Knowledge in Large Language Models and Its Impact on Emotion Recognition

Georgios Chochlakis, Alexandros Potamianos, Kristina Lerman, Shrikanth Narayanan

机构 * University of Southern California（南加州大学） ； National Technical University of Athens（雅典国家技术大学） 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

Comments 30 pages, 27 figures

Journal ref 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2024

Learning by Teaching: Engaging Students as Instructors of Large Language Models in Computer Science Education

Xinming Yang, Haasil Pujara, Jun Li

机构 * The Graduate Center, CUNY（CUNY研究生中心） ； Hunter College, CUNY（CUNY霍顿学院） ； Queens College & The Graduate Center, CUNY（CUNY皇后学院及研究生中心） 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

Comments Published at COLM 2025

Lessons from A Large Language Model-based Outdoor Trail Recommendation Chatbot with Retrieval Augmented Generation

Julia Ann Mathew, Suining He

机构 * University of Connecticut（康涅狄格大学） ； School of Computing（计算学院） 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

Comments 4 pages, UrbComp 2025

Automatic Semantic Alignment of Flow Pattern Representations for Exploration with Large Language Models

Weihan Zhang, Jun Tao

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

Comments Accepted by IEEE VIS 2025

Enhancing Decision Analysis with a Large Language Model: pyDecision a Comprehensive Library of MCDA Methods in Python

Valdecy Pereira, Marcio Pereira Basilio, Carlos Henrique Tarjano SantosCarlos Henrique Tarjano Santos

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

Comments 23 pages, 2 figures

Hand by Hand: LLM Driving EMS Assistant for Operational Skill Learning

Wei Xiang, Ziyue Lei, Haoyuan Che, Fangyuan Ye, Xueting Wu, Lingyun Sun

机构 * Zhejiang University（浙江大学） 纠错

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

Comments Accepted by IJCAI 2025

CLAPP: The CLASS LLM Agent for Pair Programming

Santiago Casas, Christian Fidler, Boris Bolliet, Francisco Villaescusa-Navarro, Julien Lesgourgues

机构 * Institute for Theoretical Particle Physics and Cosmology (TTK)（理论粒子物理与宇宙学研究所） ； RWTH Aachen University（亚琛工业大学） ； German Aerospace Center (DLR)（德国航空航天中心） ； Kavli Institute for Cosmology（卡弗里宇宙研究所） ； University of Cambridge（剑桥大学） ； Center for Computational Astrophysics（计算天体物理学中心） ； Flatiron Institute（Flatiron研究所） ； Department of Astrophysical Sciences（天体物理科学系） ； Princeton University（普林斯顿大学） 纠错

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

Comments Code: https://github.com/santiagocasas/clapp, Streamlit app: https://classclapp.streamlit.app

The Problem of Atypicality in LLM-Powered Psychiatry

Bosco Garcia, Eugene Y. S. Chua, Harman Singh Brah

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

Comments Preprint of 8/8/2025 -- please cite published version. This article has been published in the Journal of Medical Ethics (2025) following peer review and can also be viewed on the journal's website at 10.1136/jme-2025-110972

Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation

Haozhe Xu, Xiaohua Wang, Changze Lv, Xiaoqing Zheng

机构 * School of Computer Science, Fudan University（复旦大学计算机科学学院） 纠错

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

ProsodyLM: Uncovering the Emerging Prosody Processing Capabilities in Speech Language Models

Kaizhi Qian, Xulin Fan, Junrui Ni, Slava Shechtman, Mark Hasegawa-Johnson, Chuang Gan, Yang Zhang

机构 * IBM Research（IBM研究院） ； MIT-IBM Watson AI Lab（MIT-IBM Watson人工智能实验室） ； University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； UMass Amherst（马萨诸塞大学阿姆赫斯特分校） 纠错

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