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Methodology
← Learning Types
Deep Learning
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Learning Types
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Fine-Tuning
704 directly classified papers
Papers per year
2014: 1
2016: 1
2017: 1
2018: 5
2019: 17
2020: 38
2021: 42
2022: 62
2023: 84
2024: 201
2025: 251
2026: 1
Papers
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses
EMNLP 2024
KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction
EMNLP 2024
“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning
EMNLP 2024
ORPO: Monolithic Preference Optimization without Reference Model
EMNLP 2024
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
EMNLP 2024
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
EMNLP 2024
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
EMNLP 2024
Don’t Just Say “I don’t know”! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations
EMNLP 2024
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data
EMNLP 2024
Large Language Models Can Be Contextual Privacy Protection Learners
EMNLP 2024
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models
EMNLP 2024
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
EMNLP 2024
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector
EMNLP 2024
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
EMNLP 2024
Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks
EMNLP 2024
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions
EMNLP 2024
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging
EMNLP 2024
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
EMNLP 2024
Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation
EMNLP 2024
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
EMNLP 2024
I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining
EMNLP 2024
Memory-Efficient Fine-Tuning of Transformers via Token Selection
EMNLP 2024
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets
EMNLP 2024
Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair
EMNLP 2024
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes
EMNLP 2024
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