Reinforcement Learning

TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles ACL 2026 TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models ACL 2026 Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data ACL 2026 Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization ACL 2026 Towards Policy-Adaptive Image Guardrail: Benchmark and Method CVPR 2026 Towards Stable and Effective Reinforcement Learning for Mixture-of-Experts ACL 2026 TOWER+: Bridging Generality and Translation Specialization in Multilingual LLMs ACL 2026 T⋆: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning ACL 2026 TRAC: Teacher-Guided Token Reward with Adaptive Calibration for Robust Policy Optimization ACL 2026 Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems ACL 2026 Training High-Level Schedulers with Execution-Feedback Reinforcement Learning for Long-Horizon GUI Automation CVPR 2026 Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning CVPR 2026 Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear q^π-Realizability and Concentrability COLT 2026 Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation ACL 2026 TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment ACL 2026 Triviality Corrected Endogenous Reward ACL 2026 TRivia: Self-supervised Fine-tuning of Vision-Language Models for Table Recognition CVPR 2026 TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only ACL 2026 TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards ACL 2026 Trust Within? Seek Beyond? Knowledge Boundary Aware Policy Optimization for Agentic Search ACL 2026 TTRV: Test-Time Reinforcement Learning for Vision Language Models CVPR 2026 Tübingen-CL at SemEval-2026 Task 12: Reinforcement Learning and Verification for Abductive Reasoning SemEval 2026 Turning Failures into Value: Negative Experience Replay for RLVR via Confidence Gating and Boundary Failure Sampling ACL 2026 Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection CVPR 2026 UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization ACL 2026