Key papers

• POINTS-GUI-G: GUI-Grounding Journey (2026)
  Zhongyin Zhao et al.
  1.94
• SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning (2026)
  Zelin He et al.
  1.94
• Efficient RLVR Training via Weighted Mutual Information Data Selection (2026)
  Xinyu Zhou et al.
  1.94
• BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning (2026)
  Tarjei Paule Hage et al.
  1.94
• Improving Vision-language Models with Perception-centric Process Reward Models (2026)
  Yingqian Min et al.
  1.94
• Rethinking Muon Beyond Pretraining: Spectral Failures and High-Pass Remedies for VLA and RLVR (2026)
  Chongyu Fan et al.
  1.94
• Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR (2026)
  Utkarsh Tyagi et al.
  1.94
• CUA-Gym: Scaling Verifiable Training Environments and Tasks for Computer-Use Agents (2026)
  Bowen Wang et al.
  1.94
• Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence (2026)
  Xuanle Zhao et al.
  1.94
• CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning (2026)
  Linas Nasvytis et al.
  1.89
• ClawGym: A Scalable Framework for Building Effective Claw Agents (2026)
  Fei Bai et al.
  1.83
• Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL (2026)
  Sudong Wang et al.
  1.83
• When AI Navigates the Fog of War (2026)
  Ming Li et al.
  1.78
• Reinforcement Learning via Self-Distillation (2026)
  Jonas Hübotter et al.
  1.67
• ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas (2026)
  Xiaoyu Tian et al.
  1.67
• X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains (2025)
  Qianchu Liu et al.
  1.28
• Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation (2025)
  Zongxia Li et al.
  1.28
• Agentic Reinforced Policy Optimization (2025)
  Guanting Dong et al.
  1.28
• Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning (2025)
  Vaishnavi Shrivastava et al.
  1.28
• Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models (2025)
  Zhipeng Chen et al.
  1.28
• Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training (2025)
  Chenlu Ye et al.
  1.28
• Visual Jigsaw Post-Training Improves MLLMs (2025)
  Penghao Wu et al.
  1.28
• ExGRPO: Learning to Reason from Experience (2025)
  Runzhe Zhan et al.
  1.28
• Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents (2025)
  Rui Wang et al.
  1.28
• EvoSyn: Generalizable Evolutionary Data Synthesis for Verifiable Learning (2025)
  He Du et al.
  1.28
• Search Self-play: Pushing the Frontier of Agent Capability without Supervision (2025)
  Hongliang Lu et al.
  1.28
• RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments (2025)
  Zhiyuan Zeng et al.
  1.28
• Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following (2025)
  Tianyi Xiong et al.
  1.28