语言大模型 / LLM

OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs

Wasi Uddin Ahmad, Aleksander Ficek, Mehrzad Samadi, Jocelyn Huang, Vahid Noroozi, Somshubra Majumdar, Boris Ginsburg

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

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

Comments Work in progress

Few-Shot Prompting for Extractive Quranic QA with Instruction-Tuned LLMs

Mohamed Basem, Islam Oshallah, Ali Hamdi, Ammar Mohammed

机构 * Faculty of Computer Science MSA University Giza, Egypt（计算机科学学院 MSA大学 埃及吉扎） ； Faculty of Computer Science MSA University Egypt（计算机科学学院 MSA大学 埃及） 纠错

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

Comments 6 pages , 2 figures , Accepted in IMSA 2025,Egypt , https://imsa.msa.edu.eg/

Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration

Offa Kingsleigh, Alfred Abercrombie, David Woolstencroft, Beorhtric Meadowcroft, Marcus Irvin

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

Comments arXiv admin note: This paper has been withdrawn by arXiv due to disputed and unverifiable authorship

Structural Perturbation in Large Language Model Representations through Recursive Symbolic Regeneration

Kathlyn Eaglewood, Tobias Featherington, Dorian Mayfair, Sylvester Grimshaw, James Pettigrew

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

Comments arXiv admin note: This paper has been withdrawn by arXiv due to disputed and unverifiable authorship

Gradient-Regularized Latent Space Modulation in Large Language Models for Structured Contextual Synthesis

Derek Yotheringhay, Beatrix Nightingale, Maximilian Featherstone, Edmund Worthington, Hugo Ashdown

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

Comments arXiv admin note: This paper has been withdrawn by arXiv due to disputed and unverifiable authorship

ART: Adaptive Relation Tuning for Generalized Relation Prediction

Gopika Sudhakaran, Hikaru Shindo, Patrick Schramowski, Simone Schaub-Meyer, Kristian Kersting, Stefan Roth

机构 * Department of Computer Science, TU Darmstadt（图宾根大学计算机科学系） ； Hessian Center for AI (hessian.AI)（海德堡人工智能中心） ； German Research Center for AI (DFKI)（德国人工智能研究中心） 纠错

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

Comments Accepted for publication in ICCV 2025

Domain-Specific Fine-Tuning and Prompt-Based Learning: A Comparative Study for developing Natural Language-Based BIM Information Retrieval Systems

Han Gao, Timo Hartmann, Botao Zhong, Kai Lia, Hanbin Luo

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

Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision

Evelyne Ringoot, Rabab Alomairy, Valentin Churavy, Alan Edelman

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

Comments 12 pages, 6 figures, 4 tables

CARE: Enhancing Safety of Visual Navigation through Collision Avoidance via Repulsive Estimation

Joonkyung Kim, Joonyeol Sim, Woojun Kim, Katia Sycara, Changjoo Nam

机构 * Department of Electronic Engineering, Sogang University（电子工程系，首尔大学） ； Robotics Institute, Carnegie Mellon University（机器人研究所，卡内基梅隆大学） 纠错

专题命中 指令微调 ：foundation model(abstract)

Comments 16 pages, 6 figures