Fine-Tuning
1,117 papers
Papers per year
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25
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273
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'25
Papers
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
ACL 2025
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
AAAI 2025
Is `Right' Right? Enhancing Object Orientation Understanding in Multimodal Large Language Models through Egocentric Instruction Tuning
CVPR 2025
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning
AAAI 2025
JI2S: Joint Influence‐Aware Instruction Data Selection for Efficient Fine‐Tuning
EMNLP 2025
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
ACL 2025
Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning
AAAI 2025
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning
ACL 2025
L3C-DeepMFC: Low-Latency Low-Complexity Deep Marginal Feedback Cancellation with Closed-Loop Fine Tuning for Hearing Aids
Interspeech 2025
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
ACL 2025
LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents
EMNLP 2025
Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions
ACL 2025
Language Models Can be Efficiently Steered via Minimal Embedding Layer Transformations
EMNLP 2025
LaySummX at BioLaySumm: Retrieval-Augmented Fine-Tuning for Biomedical Lay Summarization Using Abstracts and Retrieved Full-Text Context
ACL 2025
Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation
ACL 2025
Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models
AAAI 2025
Learning to Generate Structured Output with Schema Reinforcement Learning
ACL 2025
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
ACL 2025
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
AAAI 2025
Lessons Learnt: Revisit Key Training Strategies for Effective Speech Emotion Recognition in the Wild
Interspeech 2025
Leveraging Human Production-Interpretation Asymmetries to Test LLM Cognitive Plausibility
ACL 2025
LexiLogic at BEA 2025 Shared Task: Fine-tuning Transformer Language Models for the Pedagogical Skill Evaluation of LLM-based tutors
ACL 2025
LimaCost: Data Valuation for Instruction Tuning of Large Language Models
EMNLP 2025
LimRank: Less is More for Reasoning-Intensive Information Reranking
EMNLP 2025
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs
ACL 2025