← Learning Types
Deep Learning › Learning Types ›

Fine-Tuning

704 directly classified papers

Papers per year

Papers

KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction EMNLP 2024
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data EMNLP 2024
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality EMNLP 2024
Rationales for Answers to Simple Math Word Problems Confuse Large Language Models ACL 2024
ProLex: A Benchmark for Language Proficiency-oriented Lexical Substitution ACL 2024
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies ACL 2024
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model ACL 2024
REInstruct: Building Instruction Data from Unlabeled Corpus ACL 2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models ACL 2024
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement ACL 2024
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models ACL 2024
Model Editing by Standard Fine-Tuning ACL 2024
TOREE: Evaluating Topic Relevance of Student Essays for Chinese Primary and Middle School Education ACL 2024
Phased Instruction Fine-Tuning for Large Language Models ACL 2024
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network ACL 2024
From Role-Play to Drama-Interaction: An LLM Solution ACL 2024
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024
Self-Specialization: Uncovering Latent Expertise within Large Language Models ACL 2024
Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback ACL 2024
KoCommonGEN v2: A Benchmark for Navigating Korean Commonsense Reasoning Challenges in Large Language Models ACL 2024
LoRA Meets Dropout under a Unified Framework ACL 2024
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models ACL 2024
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning ACL 2024
Exploring Mathematical Extrapolation of Large Language Models with Synthetic Data ACL 2024
MARIO: MAth Reasoning with code Interpreter Output - A Reproducible Pipeline ACL 2024