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Fine-Tuning

487 directly classified papers

Papers per year

Papers

Fine-Tuning Medium-Scale LLMs for Joint Intent Classification and Slot Filling: A Data-Efficient and Cost-Effective Solution for SMEs COLING 2025
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment ACL 2025
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis NAACL 2025
MSA at BEA 2025 Shared Task: Disagreement-Aware Instruction Tuning for Multi-Dimensional Evaluation of LLMs as Math Tutors ACL 2025
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts ICCV 2025
CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training AAAI 2025
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning AAAI 2025
TutorMind at BEA 2025 Shared Task: Leveraging Fine-Tuned LLMs and Data Augmentation for Mistake Identification ACL 2025
BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors ACL 2025
Synergistic Weak-Strong Collaboration by Aligning Preferences ACL 2025
MetninOzU at BioLaySumm2025: Text Summarization with Reverse Data Augmentation and Injecting Salient Sentences ACL 2025
Fine-tuning LLMs to Extract Epilepsy Seizure Frequency Data from Health Records ACL 2025
When the Dictionary Strikes Back: A Case Study on Slovak Migration Location Term Extraction and NER via Rule-Based vs. LLM Methods ACL 2025
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature EMNLP 2025
FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data EMNLP 2025
WisPerMed at ArchEHR-QA 2025: A Modular, Relevance-First Approach for Grounded Question Answering on Eletronic Health Records ACL 2025
Is Fine-Tuning an Effective Solution? Reassessing Knowledge Editing for Unstructured Data IJCNLP 2025
BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data ACL 2025
Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs EMNLP 2025
KHU_LDI at BioLaySumm2025: Fine-tuning and Refinement for Lay Radiology Report Generation ACL 2025
DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression EMNLP 2025
Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging EMNLP 2025
SQUREL at TSAR 2025 Shared Task CEFR-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning EMNLP 2025
Towards Open Foundation Language Model and Corpus for Macedonian: A Low-Resource Language ACL 2025
A Three-Tier LLM Framework for Forecasting Student Engagement from Qualitative Longitudinal Data ACL 2025