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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
Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT
ACL 2025
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs
ACL 2025
ReFF: Reinforcing Format Faithfulness in Language Models Across Varied Tasks
AAAI 2025
NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning
AAAI 2025
ReLearn: Unlearning via Learning for Large Language Models
ACL 2025
Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context Tasks
AAAI 2025
BIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data
ACL 2025
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
AAAI 2025
Classifying Unreliable Narrators with Large Language Models
ACL 2025
Capability Instruction Tuning
AAAI 2025
GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation
NAACL 2025
Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency
AAAI 2025
Retrieval-Augmented Fine-Tuning With Preference Optimization For Visual Program Generation
ACL 2025
CareBot: A Pioneering Full-Process Open-Source Medical Language Model
AAAI 2025
Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models
ACL 2025
Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation
AAAI 2025
ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming
ACL 2025
Utilize the Flow Before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning
AAAI 2025
PanAdapter: Two-Stage Fine-Tuning with Spatial-Spectral Priors Injecting for Pansharpening
AAAI 2025
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
AAAI 2025
Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals’ Subjective Text Perceptions
ACL 2025
PokerBench: Training Large Language Models to Become Professional Poker Players
AAAI 2025
Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning
AAAI 2025
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
AAAI 2025
LaySummX at BioLaySumm: Retrieval-Augmented Fine-Tuning for Biomedical Lay Summarization Using Abstracts and Retrieved Full-Text Context
ACL 2025
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