语言大模型 / LLM

Small or Large? Zero-Shot or Finetuned? Guiding Language Model Choice for Specialized Applications in Healthcare

Lovedeep Gondara, Jonathan Simkin, Graham Sayle, Shebnum Devji, Gregory Arbour, Raymond Ng

机构 * British Columbia Cancer Registry Provincial Health Services Authority（不列颠哥伦比亚省癌症登记处省级卫生服务局） ； Data Science Institute University of British Columbia（数据科学研究所不列颠哥伦比亚大学） 纠错

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

How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models

Kangtao Lv, Haibin Chen, Yujin Yuan, Langming Liu, Shilei Liu, Yongwei Wang, Wenbo Su, Bo Zheng

机构 * Zhejiang University（浙江大学） ； Taobao & Tmall Group of Alibaba（阿里巴巴集团） ； Shanghai AI Laboratory（上海人工智能实验室） 纠错

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

Probability Signature: Bridging Data Semantics and Embedding Structure in Language Models

Junjie Yao, Zhi-Qin John Xu

机构 * Institute of Natural Sciences, MOE-LSC, Shanghai Jiao Tong University（上海交通大学自然科学研究院） ； School of Mathematical Sciences, Shanghai Jiao Tong University（上海交通大学数学科学学院） 纠错

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

What are Foundation Models Cooking in the Post-Soviet World?

Anton Lavrouk, Tarek Naous, Alan Ritter, Wei Xu

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

专题命中 预训练与数据 ：foundation model(title,abstract)；pretraining(abstract)；分类 cs.CL

Comments Accepted to EMNLP 2025 Main Conference

Investigating Security Implications of Automatically Generated Code on the Software Supply Chain

Xiaofan Li, Xing Gao

机构 * Xiaofan Li ； Xing Gao 纠错

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

Guided Reality: Generating Visually-Enriched AR Task Guidance with LLMs and Vision Models

Ada Yi Zhao, Aditya Gunturu, Ellen Yi-Luen Do, Ryo Suzuki

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

Comments To appear at UIST 2025

Beyond Language Barriers: Multi-Agent Coordination for Multi-Language Code Generation

Micheline Bénédicte Moumoula, Serge Lionel Nikiema, Albérick Euraste Djire, Abdoul Kader Kabore, Jacques Klein, Tegawendé F. Bissyande

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

Procedural Environment Generation for Tool-Use Agents

Michael Sullivan, Mareike Hartmann, Alexander Koller

机构 * Department of Language Science and Technology（语言科学与技术系） ； Saarland Informatics Campus（萨尔兰信息学校区） ； Saarland University（萨尔兰大学） 纠错

专题命中 预训练与数据 ：LLM(abstract)；SFT(abstract)；分类 cs.LG

Comments 16 pages, 3 figures; accepted at EMNLP 2025

EnAnchored-X2X: English-Anchored Optimization for Many-to-Many Translation

Sen Yang, Yu Bao, Yu Lu, Jiajun Chen, Shujian Huang, Shanbo Cheng

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

Comments Accepted to EMNLP 2025

Charting a Decade of Computational Linguistics in Italy: The CLiC-it Corpus

Chiara Alzetta, Serena Auriemma, Alessandro Bondielli, Luca Dini, Chiara Fazzone, Alessio Miaschi, Martina Miliani, Marta Sartor

机构 * CNR（意大利国家研究理事会） ； University of Pisa（比萨大学） ； CoLingLab（语言学协作实验室） 纠错

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

Comments Submitted to IJCoL

Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs

Michiharu Yamashita, Thanh Tran, Delvin Ce Zhang, Dongwon Lee

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

Comments Accepted at EMNLP 2025 Main

Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity

Charlie Hou, Kiran Koshy Thekumparampil, Michael Shavlovsky, Giulia Fanti, Yesh Dattatreya, Sujay Sanghavi

机构 * Department of Electrical and Computer Engineering（电气与计算机工程系） ； Carnegie Mellon University（卡内基梅隆大学） ； Amazon（亚马逊） ； Department of Computer Science（计算机科学系） ； University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

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

Comments Published in TMLR, ICML-MFPL 2023 Workshop Oral, SPIGM@ICML2024

Evaluating Language Translation Models by Playing Telephone

Syeda Jannatus Saba, Steven Skiena

机构 * Stony Brook University（石溪大学） 纠错

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

Comments Accepted to EMNLP 2025 Main Conference as a long paper

CLOSP: A Unified Semantic Space for SAR, MSI, and Text in Remote Sensing

Daniele Rege Cambrin, Lorenzo Vaiani, Giuseppe Gallipoli, Luca Cagliero, Paolo Garza

机构 * Politecnico di Torino（托斯大学） 纠错

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

Mouse-Guided Gaze: Semi-Supervised Learning of Intention-Aware Representations for Reading Detection

Seongsil Heo, Roberto Manduchi

专题命中 预训练与数据 ：pretraining(abstract)；foundation model(comments)

Comments Accepted at NeurIPS 2025 Foundation Models for the Brain and Body NeurIPS 2025 Workshop