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Meta-Learning

1524 directly classified papers

Papers per year

Papers

Exploring the Relationship between In-Context Learning and Instruction Tuning EMNLP 2024
Fairness-Aware Meta-Learning via Nash Bargaining NIPS 2024
Nash CoT: Multi-Path Inference with Preference Equilibrium EMNLP 2024
WavLLM: Towards Robust and Adaptive Speech Large Language Model EMNLP 2024
Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization ACL 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? NIPS 2024
Few-shot Link Prediction on Hyper-relational Facts COLING 2024
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search NIPS 2024
Teaching Language Models to Self-Improve through Interactive Demonstrations NAACL 2024
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner ACL 2024
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach EMNLP 2024
StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model EMNLP 2024
AcKnowledge: Acquired Knowledge Representation by Small Language Model Without Pre-training ACL 2024
CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions NAACL 2024
Towards Understanding the Relationship between In-context Learning and Compositional Generalization COLING 2024
SoftMCL: Soft Momentum Contrastive Learning for Fine-grained Sentiment-aware Pre-training COLING 2024
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness NIPS 2024
Building Higher-Order Abstractions from the Components of Recommender Systems AAAI 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator NIPS 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NIPS 2024
FREE: Faster and Better Data-Free Meta-Learning CVPR 2024
Tree-Instruct: A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment COLING 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024
Few-Shot Learning for Cold-Start Recommendation COLING 2024
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning ACL 2024