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Fine-Tuning

487 directly classified papers

Papers per year

Papers

Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary EMNLP 2025
The Emperor’s New Reasoning: Format Imitation Overshadows Genuine Mathematical Understanding in SFT EMNLP 2025
Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs EMNLP 2025
Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality EMNLP 2025
Language Models Can be Efficiently Steered via Minimal Embedding Layer Transformations EMNLP 2025
Probing and Boosting Large Language Models Capabilities via Attention Heads EMNLP 2025
BrailleLLM: Braille Instruction Tuning with Large Language Models for Braille Domain Tasks EMNLP 2025
SCRIBE: Structured Chain Reasoning for Interactive Behaviour Explanations using Tool Calling EMNLP 2025
Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems EMNLP 2025
Prior Prompt Engineering for Reinforcement Fine-Tuning EMNLP 2025
Long Chain-of-Thought Fine-tuning via Understanding-to-Reasoning Transition EMNLP 2025
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning EMNLP 2025
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents EMNLP 2025
FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method EMNLP 2025
Group Preference Alignment: Customizing LLM Responses from In-Situ Conversations Only When Needed EMNLP 2025
InstaJudge: Aligning Judgment Bias of LLM-as-Judge with Humans in Industry Applications EMNLP 2025
How to Fine-Tune Safely on a Budget: Model Adaptation Using Minimal Resources EMNLP 2025
DispatchQA: A Benchmark for Small Function Calling Language Models in E-Commerce Applications EMNLP 2025
InsBank: Evolving Instruction Subset for Ongoing Alignment EMNLP 2025
VeriFastScore: Speeding up long-form factuality evaluation EMNLP 2025
MANTA: A Scalable Pipeline for Transmuting Massive Web Corpora into Instruction Datasets EMNLP 2025
When Detection Fails: The Power of Fine-Tuned Models to Generate Human-Like Social Media Text ACL 2025
KyuHyunChoi at SemEval-2025 Task 10: Narrative Extraction Using a Summarization-Specific Pretrained Model SEMEVAL 2025
Finetuning Pre-trained Language Models for Bidirectional Sign Language Gloss to Text Translation IJCNLP 2025
ELECTRA and GPT-4o: Cost-Effective Partners for Sentiment Analysis NAACL 2025