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task-specific fine-tuning

7 papers

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Co-occurring keywords · papers mentioning both

large language model (2) data selection (2) model merging (2) in-context learning (2) language model specialization (1) vocabulary extension (1) generator-validator paradigm (1) open-vocabulary classification (1) model patching (1) open-vocabulary model (1)

Papers

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning ACL 2025 In-Context Meta LoRA Generation IJCAI 2025 ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning EMNLP 2025 STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning ICLR 2025 Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning EMNLP 2025 Adapting Open-Source Generative Large Language Models for Low-Resource Languages: A Case Study for Turkish EMNLP 2024 Patching open-vocabulary models by interpolating weights NeurIPS 2022