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Papers
LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance
ACL 2026
LCR-RAG: Enhancing Logical Consistency in Retrieval-Augmented Generation via Neuro-symbolic Reinforcement Learning
ACL 2026
Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement
ACL 2026
Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory
ACL 2026
Learning Object-Centric Motion Priors from Human for Robotic Dexterous Manipulation
AAAI 2026
Learning Quantized Continuous Controllers for Integer Hardware
L4DC 2026
Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation
AAAI 2026
Learning to Diversify and Focus: A Reinforcement Framework for Open-Vocabulary HOI Detection
CVPR 2026
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
AAAI 2026
Learning to Focus and Precise Cropping:A Reinforcement Learning Framework with Information Gaps and Grounding Loss for MLLMs
CVPR 2026
Learning to Ideate for Machine Learning Engineering Agents
EACL 2026
Learning to Play Two-Player Perfect-Information Games without Knowledge
JMLR 2026
Learning to Reason with Curriculum I: Provable Benefits of Autocurriculum
COLT 2026
Learning to Refuse: Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in Video Temporal Grounding
CVPR 2026
Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos
CVPR 2026
Learning What Helps: Task-Aligned Context Selection for Vision Tasks
CVPR 2026
LeLoRA: Learnable Low-Rank Adaptation of Large Language Models
ACL 2026
LENS: Learning to Segment Anything with Unified Reinforced Reasoning
AAAI 2026
Let VLMs Grade Their Own Thoughts: A Self-Quantification Approach to Reasoning-Aware Reward Modeling
CVPR 2026
Leveraging Outline-Optimized Generative Interactions and Critique for Self-Refining Outlines with Reinforcement Learning
ACL 2026
Lightweight and Faithful Visual Condition Checking in Behavior Trees via Expert-Regularized Reinforcement Learning
ACL 2026
Likelihood hacking in probabilistic program synthesis
UAI 2026
Linking Perception, Confidence and Accuracy in MLLMs
CVPR 2026
LitE-SQL: A Lightweight and Efficient Text-to-SQL Framework with Vector-based Schema Linking and Execution-Guided Self-Correction
EACL 2026
LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
AAAI 2026