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Meta-Learning
1524 directly classified papers
Papers per year
2003: 1
2005: 1
2006: 1
2007: 2
2008: 2
2009: 1
2010: 1
2011: 2
2012: 1
2013: 4
2014: 4
2015: 3
2016: 9
2017: 25
2018: 46
2019: 121
2020: 167
2021: 260
2022: 220
2023: 240
2024: 201
2025: 157
2026: 55
Papers
Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction
IJCNLP 2025
RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
EMNLP 2025
Instruction-tuned QwenChart for Chart Question Answering
ACL 2025
GCML: Gradient Coherence Guided Meta-Learning for Cross-Domain Emerging Topic Rumor Detection
EMNLP 2025
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
ACL 2025
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
AAAI 2025
Assimilation and Accommodation: Task-Adaptive Hierarchical Abstraction for Solving Web Tasks
ACL 2025
MADS: Multi-Agent Dialogue Simulation for Diverse Persuasion Data Generation
EMNLP 2025
“Clutch or Cry” Team at TRACS @ WASP2025: A Hybrid Stacking Ensemble for Astrophysical Document Classification
IJCNLP 2025
Prototype Tuning: A Meta-Learning Approach for Few-Shot Document-Level Relation Extraction with Large Language Models
NAACL 2025
Discarding the Crutches: Adaptive Parameter-Efficient Expert Meta-Learning for Continual Semantic Parsing
COLING 2025
Memory-Reduced Meta-Learning with Guaranteed Convergence
AAAI 2025
STRIDE: Single-Video Based Temporally Continuous Occlusion-Robust 3D Pose Estimation
WACV 2025
World Models with Hints of Large Language Models for Goal Achieving
NAACL 2025
A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
AAAI 2025
Continual Learning Using a Kernel-Based Method Over Foundation Models
AAAI 2025
DocTTT: Test-Time Training for Handwritten Document Recognition using Meta-Auxiliary Learning
WACV 2025
Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning
ACL 2025
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning
AAAI 2025
Hypernetwork Approach to Bayesian MAML (Student Abstract)
AAAI 2025
Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
AAAI 2025
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
ACL 2025
In-Context Meta LoRA Generation
IJCAI 2025
How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract)
IJCAI 2025
LIFT: Latent Implicit Functions for Task- and Data-Agnostic Encoding
ICCV 2025
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