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Fine-Tuning
487 directly classified papers
Papers per year
2007: 1
2015: 1
2019: 4
2020: 8
2021: 15
2022: 34
2023: 57
2024: 154
2025: 213
Papers
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs
EMNLP 2024
DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection for Text-Editing
EMNLP 2024
Black-Box Forgetting
NIPS 2024
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
NIPS 2024
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models
NIPS 2024
Empowering and Assessing the Utility of Large Language Models in Crop Science
NIPS 2024
MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models
NIPS 2024
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
NIPS 2024
Uncertainty-aware Fine-tuning of Segmentation Foundation Models
NIPS 2024
Improving the Robustness of Large Language Models via Consistency Alignment
COLING 2024
LlamaCare: An Instruction Fine-Tuned Large Language Model for Clinical NLP
COLING 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
NIPS 2024
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus
NIPS 2024
CultureLLM: Incorporating Cultural Differences into Large Language Models
NIPS 2024
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
NIPS 2024
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning
ACL 2024
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs
ACL 2024
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
ACL 2024
Instruction Fusion: Advancing Prompt Evolution through Hybridization
ACL 2024
Exploring Memorization in Fine-tuned Language Models
ACL 2024
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models
ACL 2024
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
ACL 2024
Learning or Self-aligning? Rethinking Instruction Fine-tuning
ACL 2024
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks
ACL 2024
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
ACL 2024
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