llm fine-tuning

Selection of LLM Fine-Tuning Data Based on Orthogonal Rules AAAI 2026 Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning ACL 2025 Decode Like a Clinician: Enhancing LLM Fine-Tuning with Temporal Structured Data Representation IJCNLP 2025 Facilitating Long Context Understanding via Supervised Chain-of-Thought Reasoning EMNLP 2025 Flow of Reasoning: Training LLMs for Divergent Reasoning with Minimal Examples ICML 2025 Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction ACL 2025 Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh ACL 2025 PMSS: Pretrained Matrices Skeleton Selection for LLM Fine-tuning COLING 2025 Realistic Training Data Generation and Rule Enhanced Decoding in LLM for NameGuess EMNLP 2025 VeriFastScore: Speeding up long-form factuality evaluation EMNLP 2025 DUTh at SemEval 2024 Task 5: A multi-task learning approach for the Legal Argument Reasoning Task in Civil Procedure SemEval 2024 Incubating Text Classifiers Following User Instruction with Nothing but LLM EMNLP 2024 ItD: Large Language Models Can Teach Themselves Induction through Deduction ACL 2024 LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning NeurIPS 2024