Learning Paradigms

A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions ACL 2026 Feasible Learning AISTATS 2025 Label Noise Correction via Fuzzy Learning Machine AAAI 2025 Learning the Complexity of Weakly Noisy Quantum States ICLR 2025 Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off AAAI 2025 PROPER: A Progressive Learning Framework for Personalized Large Language Models with Group-Level Adaptation ACL 2025 UPSC2M: Benchmarking Adaptive Learning from Two Million MCQ Attempts ACL 2025 Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas ACL 2025 Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning AAAI 2024 A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of Θ(T^2/3) and its Application to Best-of-Both-Worlds NeurIPS 2024 Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning NeurIPS 2024 Efficient Target Propagation by Deriving Analytical Solution AAAI 2024 Learning Domain-Independent Heuristics for Grounded and Lifted Planning AAAI 2024 Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate NeurIPS 2024 Learning Optimal Advantage from Preferences and Mistaking It for Reward AAAI 2024 Learning Ultrametric Trees for Optimal Transport Regression AAAI 2024 Optimal Design for Human Preference Elicitation NeurIPS 2024 Toward In-Context Teaching: Adapting Examples to Students’ Misconceptions ACL 2024 Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond ACL 2024 Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance EMNLP 2024 AdaBoost.C2: Boosting Classifiers Chains for Multi-Label Classification AAAI 2023 Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles AAAI 2023 A Demonstration of Compositional, Hierarchical Interactive Task Learning AAAI 2022 Criticality-Based Advice in Reinforcement Learning (Student Abstract) AAAI 2022 Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting NeurIPS 2022