← Learning Types
Deep Learning › Learning Types ›

Fine-Tuning

704 directly classified papers

Papers per year

Papers

Instruction Fine-Tuning: Does Prompt Loss Matter? EMNLP 2024
Robust ASR Error Correction with Conservative Data Filtering EMNLP 2024
SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science EMNLP 2024
Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs EMNLP 2024
Value Alignment from Unstructured Text EMNLP 2024
Patentformer: A Novel Method to Automate the Generation of Patent Applications EMNLP 2024
RESTful-Llama: Connecting User Queries to RESTful APIs EMNLP 2024
CharacterGLM: Customizing Social Characters with Large Language Models EMNLP 2024
RAG-HAT: A Hallucination-Aware Tuning Pipeline for LLM in Retrieval-Augmented Generation EMNLP 2024
Course-Correction: Safety Alignment Using Synthetic Preferences EMNLP 2024
PRISM: A New Lens for Improved Color Understanding EMNLP 2024
Are LLMs Good Annotators for Discourse-level Event Relation Extraction? EMNLP 2024
Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets EMNLP 2024
RoQLlama: A Lightweight Romanian Adapted Language Model EMNLP 2024
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models EMNLP 2024
Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research EMNLP 2024
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach EMNLP 2024
Llamipa: An Incremental Discourse Parser EMNLP 2024
Nebula: A discourse aware Minecraft Builder EMNLP 2024
BAPO: Base-Anchored Preference Optimization for Overcoming Forgetting in Large Language Models Personalization EMNLP 2024
Ada-Instruct: Adapting Instruction Generators for Complex Reasoning EMNLP 2024
LongForm: Effective Instruction Tuning with Reverse Instructions EMNLP 2024
Weak-to-Strong Reasoning EMNLP 2024
MetaKP: On-Demand Keyphrase Generation EMNLP 2024
AlignSum: Data Pyramid Hierarchical Fine-tuning for Aligning with Human Summarization Preference EMNLP 2024