LLM Fine-Tuning

LLM: Large Language Model

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42 papers in the last four weeks, up 83% on the four weeks before. 0.4% of all new papers.

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  1. Compiling Learning Problems into Adaptation Programs for Language Models

    Sep 29, 2026Rebecca Ramnauth, Brian ScassellatiMeta-LearningLLM Fine-Tuning

    Department of Computer Science Yale University New Haven, CT 06511, USA

  2. VLM Fine-Tuning for End-to-End Combinatorial Optimization

    Sep 29, 2026Qingsong Yan, Xia Jiang, Yaoxin Wu +3LLM Fine-TuningNeural Combinatorial Optimization

    College of Computer Science, Sichuan University · Department of Industrial Engineering&Innovation Sciences, Eindhoven University of Technology · Institute of Marine Science and Technology, Shandong University +1

  3. Transformers Stop Thinking Too Early, and a Tiny LoRA Fixes It

    Sep 29, 2026Zehao Jin, Ruixuan Deng, Junran WangTransformerLLM Fine-Tuning

    Georgia Institute of Technology

  4. Population Fidelity: Evaluating Population Representativeness in LLMs

    Sep 28, 2026Neemias B. da Silva, Martin Lukk, Ali Sutani +5LLM EvaluationLLM Fine-Tuning

    University of Toronto, Canada · Federal University of Technology – Paran´a, Brazil

  5. AIM-ZO: Activation-Informed Subspace Maintenance for Zeroth-Order LLM Fine-Tuning

    Sep 28, 2026Yue Xie, Zhi Zheng, Yunpeng Ba +5Memory-Efficient Fine-TuningZeroth-Order Optimization

    Southern University of Science and Technology · National University of Singapore · Huawei Technologies Ltd. +1

  6. How code helps different tasks? A decompositional lens on LLM post-training

    Sep 27, 2026Zheng Yu, Yiwei Li, Yishen Chen +4LLM Fine-TuningInstruction-Tuning Data Selection

    Sun Yat-sen University · Shenzhen Loop Area Institute · The Chinese University of Hong Kong, Shenzhen +1

  7. Beyond Average Safety: Chance-Constrained LLM Fine-tuning

    Sep 24, 2026Taha Entesari, Mahyar FazlyabStochastic OptimizationChance-Constrained Optimization

    Department of Electrical and Computer Engineering Johns Hopkins University

  8. Rufus-Air: An Open LLM Post-Training Recipe

    Sep 24, 2026Chia-Yuan Chang, Renyuan Cheng, Rui Feng +19LLM Fine-TuningRL for Language Model Reasoning

    Amazon

  9. The Fellowship of the Query: Learning Retrieval Actions

    Sep 23, 2026Mohammed Al-Maamari, Saber Zerhoudi, Michael Granitzer +1LLM Fine-TuningAgentic RAG

    University of Passau Passau, Germany

  10. Fine-Tuning LLMs for Translation: General Forgetting Mitigation Does Not Preserve MT-Specific Instruction Following

    Sep 23, 2026Niklas Scholz, David Thulke, Abdallah Nasir +3LLM Fine-TuningElastic Weight Consolidation

    AppTek GmbH, Aachen, Germany · Machine Learning and Human Language Technology, RWTH Aachen University, Germany · Applied Science Private University, Amman, Jordan

  11. Can One Adapted Model Do It All? Fine-Tuning Strategy Selection for Customer Support LLMs

    Sep 23, 2026Md Tahmid Rahman Laskar, Xue-Yong Fu, Shashi Bhushan TNFine-TuningCustomer Support Automation

    Dialpad Inc.

  12. Repurposing Pre-trained LLMs as High Fidelity Continuous Text Autoencoders

    Sep 23, 2026Arkanath Pathak, Unnat Jain, Alexander C. BergDecoder-Only Language ModelsAutoencoders

    University of California, Irvine

  13. Reasoning-Preserving Fine-Tuning of Post-RL LLMs with Null-Basis LoRA

    Sep 22, 2026Wenzhi Fang, Nicholas Tzou, Lazar Valkov +1LLM Fine-TuningLow-Rank Adaptation

    Samsung Research America, Mountain View, CA, USA · Purdue University, West Lafayette, IN, USA

  14. Circuit Hypernetworks for Quantum-Augmented Diffusion Language Models

    Sep 21, 2026Xiaoqiang Wang, Mengyang Xiong, Jun Dai +1LLM Fine-TuningQuantum Machine Learning

    D´epartement d´informatique et de recherche op´erationnelle, Universit´e de Montr´eal, Montr´eal, QC, Canada. · Mila, Quebec AI Institute, Montr´eal, QC, Canada. · McGill University, Montr´eal, QC, Canada.

  15. QLoRA Fine-Tuning of Ministral LLM for Sequence-to-Function Protein Annotation

    Sep 21, 2026Demian Pavlyshenko, Bohdan PavlyshenkoLLM Fine-TuningLLM-Assisted Annotation

  16. SEA-LION-v4.8: A Technical Report

    Sep 16, 2026Ahmed Mohammad Dabeer, Ahn Jeongmi, Anocha Sutaveephamochanon +45Multilingual Language ModelsLLM Fine-Tuning

    David Wang Dawei · Li Chunren · Huang Wenzong, Raymond +1

  17. Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation

    Sep 15, 2026Ting-Wei Chang, Hen-Hsen Huang, Hsin-Hsi ChenLLM Fine-Tuning

    Department of Computer Science and Information Engineering, National Taiwan University, Taiwan · Institute of Information Science, Academia Sinica, Taiwan · AI Research Center (AINTU), National Taiwan University, Taiwan

  18. Where Should a Document Live: Context, Representations, or Parameters?

    Sep 15, 2026Nathanaël Carraz Rakotonirina, Momchil Hardalov, Gonzalo Iglesias +1Memory-Augmented Language ModelsKnowledge Augmentation for Language Models

    Amazon AGI

  19. TAME: Token Attribution and Masking for Emergent misalignment

    Sep 15, 2026Md Rayhanul Masud, Md Rizwan ParvezLLM InterpretabilityLLM Fine-Tuning

    University of California, Riverside · 2Qatar Computing Research Institute (QCRI)

  20. ReMova: Fine-tuning LLMs for English to Belarusian translation

    Sep 14, 2026Mikita Pilinka, Aliaksandr Kliujeŭ, David Samuel +1LLM Fine-TuningLow-Resource MT

    University of Oslo Department of Informatics · Independent Researcher

  21. Clustering-Based Balanced Sampling and Allocation with Data Parallelism for High-Performance Fine-Tuning

    Sep 14, 2026Hyunjin Kim, Youngeun Nam, Jaemin Han +2LLM Fine-TuningInstruction-Tuning Data Selection

    KAIST

  22. Doc2FRC: Length-Consistent Document-Level Machine Translation via Fixed-Range Chunking

    Sep 14, 2026Xiaotian Wang, Youyuan Lin, Zhan Shen +1Document ChunkingLLM Fine-Tuning

    The University of Tokyo · Riken · Kyoto University +1

  23. Scaling Clinical Judgment to Evaluate Medical AI

    Sep 11, 2026Thomas A. Buckley, Zahir Kanjee, Peter G. Brodeur +15LLM-as-a-JudgeLLM Fine-Tuning

    Department of Biomedical Informatics, Harvard Medical School, Boston, MA · Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA · Stanford Division of Hospital Medicine, Stanford University, Stanford, CA +11

  24. Rebalancing Token Importance in Language Models with TF-IDF Weighted Cross-Entropy Loss

    Sep 10, 2026Zhijian Li, Stefan Larson, Kevin LeachMemorization in Language ModelsLLM Fine-Tuning

    University of Southern California, Los Angeles · Vanderbilt University, Nashville

  25. Active Adaptation, Not Static Defense: Temporal Dynamics of Preventative Steering in Adversarial Fine-Tuning

    Sep 9, 2026Jing Guan, Yachao Yang, Zhaoliang Liu +3LLM Fine-TuningAdversarial Attacks on LLMs

    JIUTIAN Research, Beijing, China · Beijing University of Posts and Telecommunications, Beijing, China

  26. MpSub: A Momentum pp-Dimensional Subspace Trust-Region Method for Derivative-Free Fine-Tuning of Large Language Models

    Sep 7, 2026Yuyang Wang, Haoyu Yao, Pengcheng XieMemory-Efficient Fine-TuningZeroth-Order Optimization

    Xi’an Jiaotong University, Xi’an, China · Lawrence Berkeley National Laboratory, Berkeley, CA, USA

  27. Task-Level Natural Language Priors as Learning Signals for Low-Resource LLM Training

    Sep 2, 2026Jian Gao, Xiao Zhang, Xun Zhu +2LLM Fine-TuningData-Efficient Learning

    College of AI, Tsinghua University · Department of Electronic Engineering, Tsinghua University

  28. When Safety Routing Breaks: Understanding Alignment Fragility under Benign Fine-Tuning

    Sep 1, 2026Yitong Guo, Xiaoyi Chen, Siyuan Zhang +2LLM Fine-TuningLLM Safety Alignment

    Indiana University Bloomington · Tsinghua University · Nanyang Technological University

  29. Automated Event Log Generation from Unstructured Text Using Finetuned LLMs

    Sep 1, 2026Maximilian Seeth, Gabriel Marques Tavares, Daniel SchusterProcess MiningLLM Fine-Tuning

    LMU Munich, Germany · University of Mannheim, Germany

  30. Prompt-Robust Language Models: Which Training Strategies Work?

    Sep 1, 2026Frederic Sadrieh, Michal ŠtefánikPrompt SensitivityLLM Fine-Tuning

    Center for Information and Language Processing, LMU Munich · R&D Centre for Large Language Models, National Institute of Informatics, Japan