Research Explorer
Papers
Conferences
Authors
Topics
Keywords
Trends
Achievements
Explore
← Learning Types
Deep Learning
›
Learning Types
›
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
Key-Point-Driven Data Synthesis with Its Enhancement on Mathematical Reasoning
AAAI 2025
Enhancing Non-English Capabilities of English-Centric Large Language Models Through Deep Supervision Fine-Tuning
AAAI 2025
MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-Formula
AAAI 2025
Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models
AAAI 2025
Exploring Model Editing for LLM-based Aspect-Based Sentiment Classification
AAAI 2025
Augmenting Math Word Problems via Iterative Question Composing
AAAI 2025
Confidence Estimation for Error Detection in Text-to-SQL Systems
AAAI 2025
Hansel: Output Length Controlling Framework for Large Language Models
AAAI 2025
Interweaving Memories of a Siamese Large Language Model
AAAI 2025
Tradutor: Building a Variety Specific Translation Model
AAAI 2025
Structured Packing in LLM Training Improves Long Context Utilization
AAAI 2025
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
AAAI 2025
Learning to Generate Structured Output with Schema Reinforcement Learning
ACL 2025
NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning
AAAI 2025
Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context Tasks
AAAI 2025
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
AAAI 2025
Capability Instruction Tuning
AAAI 2025
Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency
AAAI 2025
CareBot: A Pioneering Full-Process Open-Source Medical Language Model
AAAI 2025
Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation
AAAI 2025
Utilize the Flow Before Stepping into the Same River Twice: Certainty Represented Knowledge Flow for Refusal-Aware Instruction Tuning
AAAI 2025
One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models
AAAI 2025
PokerBench: Training Large Language Models to Become Professional Poker Players
AAAI 2025
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
AAAI 2025
HFT: Half Fine-Tuning for Large Language Models
ACL 2025
<
1
2
3
4
5
…
29
>