Fine-Tuning
490 papers
Papers per year
1
1
4
8
16
33
58
154
209
6
'15
'20
'25
Papers
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
CVPR 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation
NeurIPS 2024
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos
CVPR 2024
Rationales for Answers to Simple Math Word Problems Confuse Large Language Models
ACL 2024
Reducing Privacy Risks in Online Self-Disclosures with Language Models
ACL 2024
ReFT: Representation Finetuning for Language Models
NeurIPS 2024
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
NeurIPS 2024
Resource-Efficient Transformer Pruning for Finetuning of Large Models
CVPR 2024
Rethinking the Role of Proxy Rewards in Language Model Alignment
EMNLP 2024
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
NeurIPS 2024
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning
ACL 2024
Reverse-Engineering the Reader
EMNLP 2024
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models
NeurIPS 2024
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
CVPR 2024
Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai
ACL 2024
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
EMNLP 2024
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
ACL 2024
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models
EMNLP 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
NeurIPS 2024
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
NeurIPS 2024
Speechworthy Instruction-tuned Language Models
EMNLP 2024
Split and Rephrase with Large Language Models
ACL 2024
SRIB-NMT’s Submission to the Indic MT Shared Task in WMT 2024
EMNLP 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning
NeurIPS 2024
SU-FMI at SemEval-2024 Task 5: From BERT Fine-Tuning to LLM Prompt Engineering - Approaches in Legal Argument Reasoning
SemEval 2024