Reinforcement Learning
1,698 papers
Papers per year
4
9
13
6
12
9
17
11
14
7
7
22
53
81
103
140
170
205
235
204
376
'10
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Papers
AVA-VLA: Improving Vision-Language-Action models with Active Visual Attention
CVPR 2026
AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs
CVPR 2026
Behavior Knowledge Merge in Reinforced Agentic Models
ACL 2026
Benchmarking and Learning Real-World Customer Service Dialogue
ACL 2026
Beyond Majority Voting: Towards Fine-grained and More Reliable Reward Signal for Test-Time Reinforcement Learning
ACL 2026
Beyond Perceptual Shortcuts: Causal-Inspired Debiasing Optimization for Generalizable Video Reasoning in Lightweight MLLMs
CVPR 2026
Beyond the Context Window: Scaling Agentic RL via End-to-end Optimized Context Compression
ACL 2026
Boosting Vision-Language-Action Finetuning with Feasible Action Neighborhood Prior
CVPR 2026
Breaking the Impasse: Dual-Scale Evolutionary Policy Training for Social Language Agents
ACL 2026
CAIC: Congestion-Aware Intent Communication for Multi-Agent Reinforcement Learning
UAI 2026
Can Compact Language Models Search Like Agents? Distillation-Guided Policy Optimization for Preserving Agentic RAG Capabilities
ACL 2026
CARE What Fails: Contrastive Anchored-REflection for Verifiable Multimodal Reasoning
CVPR 2026
CaRL-EM: Cost-Aware Reinforcement Learning for Entity Matching with LLMs
ACL 2026
CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image Captioning
CVPR 2026
CE-GPPO: Coordinating Entropy via Gradient-Preserving Clipping Policy Optimization in Reinforcement Learning
ACL 2026
CGL: Advancing Continual GUI Learning via Reinforcement Fine-Tuning
CVPR 2026
CharTide: Data-Centric Chart-to-Code Generation via Tri-Perspective Tuning and Inquiry-Driven Evolution
ACL 2026
ChatR1: Reinforcement Learning for Conversational Reasoning and Retrieval Augmented Question Answering
ACL 2026
Check Your Work: Structured Checklist Feedback for Improving Large Language Models
ACL 2026
ChipSeek: Optimizing Verilog Generation via EDA-Integrated Reinforcement Learning
ACL 2026
Closing the Modality Reasoning Gap for Speech Large Language Models
ACL 2026
Closing the Spatial Execution Gap in Digital Whiteboards via Verifiable Reinforcement Learning
ACL 2026
CMR-RD: Long-Tailed Adaptive VLM for Explainable CMR Diagnosis
CVPR 2026
CoAct: Co-Active LLM Preference Learning with Human-AI Synergy
ACL 2026
CodeDance: A Dynamic Tool-integrated MLLM for Executable Visual Reasoning
CVPR 2026