语言大模型 / LLM

Enhancing Health Fact-Checking with LLM-Generated Synthetic Data

Jingze Zhang, Jiahe Qian, Yiliang Zhou, Yifan Peng

机构 * Population Health Sciences, Weill Cornell Medicine（人口健康科学系，韦尔·科恩医学中心） ； Donald Bren School of Information and Computer Sciences, University of California, Irvine（唐纳德·布伦信息与计算机科学学院，加州大学伊尔弗分校） 纠错

专题命中 预训练与数据 ：LLM(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

The Mathematician's Assistant: Integrating AI into Research Practice

Jonas Henkel

机构 * Fachbereich Mathematik und Informatik, Philipps-Universität Marburg（数学与计算机科学系，马尔堡菲利普斯大学） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)；prompting(abstract)；分类 cs.AI、cs.LG

Comments 24 pages, 7 figures. Accepted for publication in Mathematische Semesterberichte (to appear in vol. 72, no. 2)

Parallel GPT: Harmonizing the Independence and Interdependence of Acoustic and Semantic Information for Zero-Shot Text-to-Speech

Jingyuan Xing, Zhipeng Li, Jialong Mai, Xiaofen Xing, Xiangmin Xu

机构 * School of Future Technology, South China University of Technology（未来技术学院，华南理工大学） ； School of Electronic and Information, South China University of Technology（电子与信息学院，华南理工大学） 纠错

专题命中 预训练与数据 ：large language model(abstract)；language model(abstract)

Comments Submitted to IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP)

NetGPT: Generative Pretrained Transformer for Network Traffic

Xuying Meng, Chungang Lin, Yequan Wang, Yujun Zhang

机构 * Institute of Computing Technology, Chinese Academy of Sciences（中国科学院计算技术研究所） ； Beijing Academy of Artificial Intelligence（北京人工智能研究院） 纠错

专题命中 预训练与数据 ：pretraining(abstract)；分类 cs.AI、cs.LG

Comments Code is available at https://github.com/ict-net/NetGPT

Multi-Lingual Implicit Discourse Relation Recognition with Multi-Label Hierarchical Learning

Nelson Filipe Costa, Leila Kosseim

机构 * Computational Linguistics at Concordia (CLaC) Laboratory（康科迪亚大学计算语言学实验室） ； Department of Computer Science and Software Engineering（计算机科学与软件工程系） ； Concordia University（康科迪亚大学） 纠错

专题命中 预训练与数据 ：prompting(abstract)；分类 cs.CL

Comments Published at SIGDIAL 2025. Best paper award

Language-to-Space Programming for Training-Free 3D Visual Grounding

Boyu Mi, Hanqing Wang, Tai Wang, Yilun Chen, Jiangmiao Pang

机构 * Shanghai Jiao Tong University（上海交通大学） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） 纠错

专题命中 预训练与数据 ：LLM(abstract)

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation

Miguel Moura Ramos, Patrick Fernandes, Sweta Agrawal, André F. T. Martins

机构 * Instituto Superior Técnico, Universidade de Lisboa (ELLIS Unit Lisbon)（里斯本大学理工学院（ELLIS单位里斯本）） ； Instituto de Telecomunicações（电信研究所） ； Carnegie Mellon University（卡内基梅隆大学） ； Unbabel 纠错

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；prompting(abstract)

Comments COLM 2025

Grounding Multimodal Large Language Models with Quantitative Skin Attributes: A Retrieval Study

Max Torop, Masih Eskandar, Nicholas Kurtansky, Jinyang Liu, Jochen Weber, Octavia Camps, Veronica Rotemberg, Jennifer Dy, Kivanc Kose

机构 * Northeastern University（东北大学） ； Memorial Sloan Kettering Cancer Center（纪念斯隆凯特琳癌症中心） 纠错

专题命中 指令微调 ：large language model(title,abstract)；language model(title,abstract)；分类 cs.LG

CrystalICL: Enabling In-Context Learning for Crystal Generation

Ruobing Wang, Qiaoyu Tan, Yili Wang, Ying Wang, Xin Wang

机构 * Jilin University（吉林大学） ； New York University Shanghai（纽约大学上海） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；instruction tuning(abstract)

Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection

Harethah Abu Shairah, Hasan Abed Al Kader Hammoud, George Turkiyyah, Bernard Ghanem

机构 * King Abdullah University of Science and Technology (KAUST)（卡布尔大学科学与技术学院） 纠错

专题命中 指令微调 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI、cs.LG

Comments Under Review

Seeing is Believing: Emotion-Aware Audio-Visual Language Modeling for Expressive Speech Generation

Weiting Tan, Jiachen Lian, Hirofumi Inaguma, Paden Tomasello, Philipp Koehn, Xutai Ma

机构 * Johns Hopkins University（约翰霍普金斯大学） ； Meta AI Research（Meta AI 研究） 纠错

专题命中 指令微调 ：language model(title,abstract)；分类 cs.CL

Comments EMNLP 2025 (Findings)

DentalBench: Benchmarking and Advancing LLMs Capability for Bilingual Dentistry Understanding

Hengchuan Zhu, Yihuan Xu, Yichen Li, Zijie Meng, Zuozhu Liu

机构 * Zhejiang University（浙江大学） ； ZJU-Angelalign R&D Center for Intelligence Healthcare（浙江大学智能医疗研发中心） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；SFT(abstract)；分类 cs.CL、cs.AI

Estimating 2D Keypoints of Surgical Tools Using Vision-Language Models with Low-Rank Adaptation

Krit Duangprom, Tryphon Lambrou, Binod Bhattarai

机构 * University of Aberdeen（阿伯丁大学） 纠错

专题命中 指令微调 ：language model(title,abstract)

Comments Accepted to MICCAI 2025

TCIA: A Task-Centric Instruction Augmentation Method for Instruction Finetuning

Simin Ma, Shujian Liu, Jun Tan, Yebowen Hu, Song Wang, Sathish Reddy Indurthi, Sanqiang Zhao, Liwei Wu, Jianbing Han, Kaiqiang Song

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；instruction tuning(abstract)；分类 cs.AI

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging

Hua Farn, Hsuan Su, Shachi H Kumar, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee

机构 * National Taiwan University（国立台湾大学） ； Intel Lab（英特尔实验室） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；分类 cs.CL

Comments EMNLP 2025 Findings

ArtFace: Towards Historical Portrait Face Identification via Model Adaptation

Francois Poh, Anjith George, Sébastien Marcel

机构 * Idiap Research Institute（IDiap研究 institute） 纠错

专题命中 指令微调 ：foundation model(abstract)；分类 cs.AI

Comments 4 pages, 3 figures. ArtMetrics @ ICCV 2025 (non-archival). Paper page at https://www.idiap.ch/paper/artface/

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization

Alberto Compagnoni, Davide Caffagni, Nicholas Moratelli, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara

机构 * University of Modena and Reggio Emilia（摩德纳和雷吉奥艾米利亚大学） 纠错

专题命中 后训练与偏好优化 ：preference optimization(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

Comments BMVC 2025

The Uneven Impact of Post-Training Quantization in Machine Translation

Benjamin Marie, Atsushi Fujita

机构 * NICT（日本信息与通信技术研究所） 纠错

专题命中 后训练与偏好优化 ：post-training(title,abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

Quantum Verifiable Rewards for Post-Training Qiskit Code Assistant

Nicolas Dupuis, Adarsh Tiwari, Youssef Mroueh, David Kremer, Ismael Faro, Juan Cruz-Benito

机构 * IBM Quantum（IBM量子） 纠错

专题命中 后训练与偏好优化 ：post-training(title,abstract)；分类 cs.AI

RLMR: Reinforcement Learning with Mixed Rewards for Creative Writing

Jianxing Liao, Tian Zhang, Xiao Feng, Yusong Zhang, Rui Yang, Haorui Wang, Bosi Wen, Ziying Wang, Runzhi Shi

机构 * Tencent（腾讯） 纠错

专题命中 后训练与偏好优化 ：large language model(abstract)；language model(abstract)；分类 cs.CL、cs.AI

OneReward: Unified Mask-Guided Image Generation via Multi-Task Human Preference Learning

Yuan Gong, Xionghui Wang, Jie Wu, Shiyin Wang, Yitong Wang, Xinglong Wu

机构 * ByteDance Inc.（字节跳动公司） 纠错

专题命中 后训练与偏好优化 ：language model(abstract)；SFT(abstract)

Comments project url: https://one-reward.github.io

DanceGRPO: Unleashing GRPO on Visual Generation

Zeyue Xue, Jie Wu, Yu Gao, Fangyuan Kong, Lingting Zhu, Mengzhao Chen, Zhiheng Liu, Wei Liu, Qiushan Guo, Weilin Huang, Ping Luo

机构 * The University of Hong Kong（香港大学） 纠错

专题命中 后训练与偏好优化 ：foundation model(abstract)；RLHF(abstract)

Comments Project Page: https://dancegrpo.github.io/

DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness

Ruining Li, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi

机构 * Visual Geometry Group, University of Oxford（牛津大学视觉几何组） 纠错

专题命中 后训练与偏好优化 ：preference optimization(abstract)；分类 cs.AI、cs.LG

Comments Accepted at ICCV 2025 (Highlight). Project page: https://ruiningli.com/dso

ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models

Zhihang Yuan, Yuzhang Shang, Yue Song, Dawei Yang, Qiang Wu, Yan Yan, Guangyu Sun

机构 * Illinois Institute of Technology（伊利诺伊理工学院） ； University of Trento（特伦托大学） ； Peking University（北京大学） 纠错

专题命中 长上下文与记忆 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；post-training(abstract)

Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution

Chen Chen, Yuchen Sun, Jiaxin Gao, Xueluan Gong, Qian Wang, Ziyao Wang, Yongsen Zheng, Kwok-Yan Lam

专题命中 长上下文与记忆 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.CL

Joint Enhancement of Relational Reasoning for Long-Context LLMs

Zhirui Chen, Wei Shen, Jiashui Huang, Ling Shao

机构 * UCAS-Terminus AI Lab, University of Chinese Academy of Sciences, China（中国科学院大学Terminus AI实验室，中国科学院大学） 纠错

专题命中 长上下文与记忆 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.CL

Comments 9 pages, 5 pages Accepted by EMNLP 2025 Findings

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization

Arya Tschand, Muhammad Awad, Ryan Swann, Kesavan Ramakrishnan, Jeffrey Ma, Keith Lowery, Ganesh Dasika, Vijay Janapa Reddi

机构 * Harvard University（哈佛大学） ； AMD ； Stanford University（斯坦福大学） 纠错

专题命中 长上下文与记忆 ：LLM(abstract)；large language model(abstract)；language model(abstract)；分类 cs.AI

Enhancing Document VQA Models via Retrieval-Augmented Generation

Eric López, Artemis Llabrés, Ernest Valveny

机构 * Computer Vision Center, Universitat Autònoma de Barcelona, Spain（巴塞罗那自治大学计算机视觉中心） 纠错

专题命中 长上下文与记忆 ：language model(abstract)

Comments Accepted at Workshop on Machine Learning in Document Analysis and Recognition (ICDAR WML 2025), Wuhan, China

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess

Dongyoon Hwang, Hojoon Lee, Jaegul Choo, Dongmin Park, Jongho Park

机构 * KAIST AI（韩国科学技术院人工智能研究所） ； KRAFTON（KRAFTON公司） ； UC Berkeley（伯克利大学） 纠错

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；post-training(title)；LLM(abstract)

Comments Accepted into Test-time Scaling and Reasoning Models (SCALR) workshop at COLM 2025. 28 pages

Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models

Younwoo Choi, Changling Li, Yongjin Yang, Zhijing Jin

专题命中 推理与问题求解 ：large language model(title,abstract)；language model(title,abstract)；LLM(abstract)；分类 cs.CL、cs.AI