语言大模型 / LLM

When marine radar target detection meets pretrained large language models

Qiying Hu, Linping Zhang, Xueqian Wang, Gang Li, Yu Liu, Xiao-Ping Zhang

机构 * Department of Electronic Engineering, Tsinghua University（电子工程系，清华大学） ； State Key Laboratory of Space Network and Communications, Tsinghua University（空间网络与通信国家重点实验室，清华大学） ； Shenzhen Key Laboratory of Ubiquitous Data Enabling, Tsinghua Shenzhen International Graduate School, Tsinghua University（深圳 ubiquitous 数据赋能重点实验室，清华大学深圳国际研究生院） 纠错

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

UniPar: A Unified LLM-Based Framework for Parallel and Accelerated Code Translation in HPC

Tomer Bitan, Tal Kadosh, Erel Kaplan, Shira Meiri, Le Chen, Peter Morales, Niranjan Hasabnis, Gal Oren

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

Comments Accepted to IEEE HPEC conference 2025. 9 pages, incl references

ClaimIQ at CheckThat! 2025: Comparing Prompted and Fine-Tuned Language Models for Verifying Numerical Claims

Anirban Saha Anik, Md Fahimul Kabir Chowdhury, Andrew Wyckoff, Sagnik Ray Choudhury

机构 * Department of Data Science, University of North Texas, Denton, TX, USA（数据科学系，北卡罗来纳州立大学，德顿，得克萨斯州，美国） ； Department of Computer Science and Engineering, University of North Texas, Denton, TX, USA（计算机科学与工程系，北卡罗来纳州立大学，德顿，得克萨斯州，美国） ； Department of Computer Science（计算机科学系） 纠错

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

Comments Notebook for the CheckThat! Lab at CLEF 2025

Revealing the Inherent Instructability of Pre-Trained Language Models

Seokhyun An, Minji Kim, Hyounghun Kim

机构 * Department of Computer Science and Engineering, UNIST（UNIST计算机科学与工程系） ； Graduate School of Artificial Intelligence, POSTECH（POSTECH人工智能研究生院） ； Department of Computer Science and Engineering, POSTECH（POSTECH计算机科学与工程系） 纠错

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

Comments Findings of EMNLP 2025 (32 pages). Code available at https://github.com/seokhyunan/response-tuning

The LLM as a Network Operator: A Vision for Generative AI in the 6G Radio Access Network

Oluwaseyi Giwa, Michael Adewole, Tobi Awodumila, Pelumi Aderinto

机构 * African Institute for Mathematical Sciences（非洲数学科学研究所） 纠错

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

Comments Submitted to Workshop on AI and ML for Next-Generation Wireless Communications and Networking, NeurIPS 2025

Harnessing Optimization Dynamics for Curvature-Informed Model Merging

Pouria Mahdavinia, Hamed Mahdavi, Niloofar Mireshghallah, Mehrdad Mahdavi

机构 * The Pennsylvania State University（宾夕法尼亚州立大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

专题命中 指令微调 ：large language model(abstract)；language model(abstract)；post-training(abstract)；SFT(abstract)

RouteFinder: Towards Foundation Models for Vehicle Routing Problems

Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, André Hottung, Niels Wouda, Leon Lan, Junyoung Park, Kevin Tierney, Jinkyoo Park

机构 * KAIST（韩国科学技术院） ； Bielefeld University（比勒菲尔德大学） ； Rotterdam School of Management（鹿特丹管理学院） ； VU Amsterdam（阿姆斯特丹自由大学） ； Omelet AI4CO 纠错

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

Comments TMLR 2025. A previous version of this work was presented as Oral at the ICML 2024 FM-Wild Workshop

Mixture-of-Clustered-Experts: Advancing Expert Specialization and Generalization in Instruction Tuning

Sugyeong Eo, Jungjun Lee, Chanjun Park, Heuiseok Lim

机构 * Department of Computer Science and Engineering, Korea University, Republic of Korea（韩国大学计算机科学与工程系） ； KT, Republic of Korea（韩国KT） ； School of Software, Soongsil University, Republic of Korea（顺天大学软件学院） 纠错

专题命中 指令微调 ：instruction tuning(title,abstract)；分类 cs.LG

Real-Time RAG for the Identification of Supply Chain Vulnerabilities

Jesse Ponnock, Grace Kenneally, Michael Robert Briggs, Elinor Yeo, Tyrone Patterson, Nicholas Kinberg, Matthew Kalinowski, David Hechtman

机构 * MITRE Corporation（MITRE公司） 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

Comments 14 pages, 5 figures, 1 table. Approved for Public Release; Distribution Unlimited. PRS Release Number: 25-0864

Seeing Further on the Shoulders of Giants: Knowledge Inheritance for Vision Foundation Models

Jiabo Huang, Chen Chen, Lingjuan Lyu

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

Comments Technical report

Public Data Assisted Differentially Private In-Context Learning

Seongho Joo, Hyukhun Koh, Kyomin Jung

机构 * Seoul National University（首尔国立大学） 纠错

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

Comments EMNLP 2025 Findings

Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments

Zhiwei Liu, Kailai Yang, Eduard Hovy, Sophia Ananiadou

机构 * The University of Manchester（曼彻斯特大学） ； The University of Melbourne（墨尔本大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

专题命中 指令微调 ：LLM(abstract)；prompting(abstract)；分类 cs.CL

Comments work in progress

Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contexts

Haodi Ma, Dzmitry Kasinets, Daisy Zhe Wang

机构 * Department of Computer and Information Science and Engineering, University of Florida（计算机与信息科学与工程系，佛罗里达大学） 纠错

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

The System Description of CPS Team for Track on Driving with Language of CVPR 2024 Autonomous Grand Challenge

Jinghan Peng, Jingwen Wang, Xing Yu, Dehui Du

机构 * East China Normal University（东华师范大学） 纠错

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

Humanizing Automated Programming Feedback: Fine-Tuning Generative Models with Student-Written Feedback

Victor-Alexandru Pădurean, Tung Phung, Nachiket Kotalwar, Michael Liut, Juho Leinonen, Paul Denny, Adish Singla

专题命中 指令微调 ：language model(abstract)

Comments Published in International Conference on Educational Data Mining (EDM) 2025