Key papers

• MentalThink: Shaping Thoughts in Mental SVG World (2026)
  Kangheng Lin et al.
  2.00
• RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation (2026)
  Sunzhu Li et al.
  1.94
• Your Group-Relative Advantage Is Biased (2026)
  Fengkai Yang et al.
  1.94
• Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR (2026)
  Fanfan Liu et al.
  1.94
• Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models (2026)
  Qiyuan Zhang et al.
  1.94
• GFT: From Imitation to Reward Fine-Tuning with Unbiased Group Advantages and Dynamic Coefficient Rectification (2026)
  Wangjie Gan et al.
  1.94
• CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test (2026)
  Zhangyi Hu et al.
  1.94
• Joint Training of Multi-Token Prediction in Reinforcement Learning via Optimal Coefficient Calibration (2026)
  Zili Wang et al.
  1.94
• Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matching (2026)
  Hao Zhong et al.
  1.94
• APPO: Agentic Procedural Policy Optimization (2026)
  Xucong Wang et al.
  1.94
• Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning (2026)
  NVIDIA et al.
  1.94
• STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability (2026)
  Haipeng Luo et al.
  1.94
• AnyGroundBench: A Specialized-Domain Benchmark for Video Grounding in Vision-Language Models (2026)
  Rintaro Otsubo et al.
  1.94
• EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL (2026)
  Minrui Xu et al.
  1.89
• GUI-CIDER: Mid-training GUI Agents via Causal Internalization and Density-aware Exemplar Reselection (2026)
  Zheng Wu et al.
  1.89
• Residual Stream Duality in Modern Transformer Architectures (2026)
  Yifan Zhang
  1.78
• UI-Venus-1.5 Technical Report (2026)
  Veuns-Team et al.
  1.72
• RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation (2025)
  Kaiqu Liang et al.
  1.28
• PILAF: Optimal Human Preference Sampling for Reward Modeling (2025)
  Yunzhen Feng et al.
  1.28
• VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model (2025)
  Jiani Zheng et al.
  1.28
• Iterative Value Function Optimization for Guided Decoding (2025)
  Zhenhua Liu et al.
  1.28
• Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation (2025)
  Jiakai Tang et al.
  1.28
• Bielik 11B v2 Technical Report (2025)
  Krzysztof Ociepa et al.
  1.28
• STAR-R1: Spatial TrAnsformation Reasoning by Reinforcing Multimodal LLMs (2025)
  Zongzhao Li et al.
  1.28
• NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning (2025)
  Wei Liu et al.
  1.28
• Bridging Supervised Learning and Reinforcement Learning in Math Reasoning (2025)
  Huayu Chen et al.
  1.28
• VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization (2025)
  Yunxin Li et al.
  1.28
• Accelerating Nash Learning from Human Feedback via Mirror Prox (2025)
  Daniil Tiapkin et al.
  1.28
• Reasoning Like an Economist: Post-Training on Economic Problems Induces Strategic Generalization in LLMs (2025)
  Yufa Zhou et al.
  1.28
• Survey of Active Learning Hyperparameters: Insights from a Large-Scale Experimental Grid (2025)
  Julius Gonsior et al.
  1.28
• Play to Generalize: Learning to Reason Through Game Play (2025)
  Yunfei Xie et al.
  1.28
• SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning (2025)
  Yuqian Fu et al.
  1.28
• Perception-Aware Policy Optimization for Multimodal Reasoning (2025)
  Zhenhailong Wang et al.
  1.28
• A Practical Two-Stage Recipe for Mathematical LLMs: Maximizing Accuracy with SFT and Efficiency with Reinforcement Learning (2025)
  Hiroshi Yoshihara et al.
  1.28
• The Invisible Leash: Why RLVR May Not Escape Its Origin (2025)
  Fang Wu et al.
  1.28
• VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning (2025)
  Ruifeng Yuan et al.
  1.28
• AMFT: Aligning LLM Reasoners by Meta-Learning the Optimal Imitation-Exploration Balance (2025)
  Lixuan He et al.
  1.28
• On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting (2025)
  Wenhao Zhang et al.
  1.28
• CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning (2025)
  Wenqiao Zhu et al.
  1.28
• VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use (2025)
  Dongfu Jiang et al.
  1.28
• Towards a Unified View of Large Language Model Post-Training (2025)
  Xingtai Lv et al.
  1.28
• Hunyuan-MT Technical Report (2025)
  Mao Zheng et al.
  1.28
• ΔL Normalization: Rethink Loss Aggregation in RLVR (2025)
  Zhiyuan He et al.
  1.28
• RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards (2025)
  Zhilin Wang et al.
  1.28
• CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning (2025)
  Long Xing et al.
  1.28
• FrameThinker: Learning to Think with Long Videos via Multi-Turn Frame Spotlighting (2025)
  Zefeng He et al.
  1.28
• GRPO-MA: Multi-Answer Generation in GRPO for Stable and Efficient Chain-of-Thought Training (2025)
  Hongcheng Wang et al.
  1.28
• The Era of Real-World Human Interaction: RL from User Conversations (2025)
  Chuanyang Jin et al.
  1.28
• Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners (2025)
  Xin Xu et al.
  1.28
• Training-Free Group Relative Policy Optimization (2025)
  Yuzheng Cai et al.
  1.28
• Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models (2025)
  Yongding Tao et al.
  1.28
• ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models (2025)
  Yuqi Liu et al.
  1.28
• PokeeResearch: Effective Deep Research via Reinforcement Learning from AI Feedback and Robust Reasoning Scaffold (2025)
  Yi Wan et al.
  1.28
• Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI (2025)
  Jitao Sang et al.
  1.28
• The Best of N Worlds: Aligning Reinforcement Learning with Best-of-N Sampling via max@k Optimisation (2025)
  Farid Bagirov et al.
  1.28
• Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning (2025)
  Yihe Deng et al.
  1.28
• Actial: Activate Spatial Reasoning Ability of Multimodal Large Language Models (2025)
  Xiaoyu Zhan et al.
  1.28
• RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments (2025)
  Zhiyuan Zeng et al.
  1.28
• HunyuanOCR Technical Report (2025)
  Hunyuan Vision Team et al.
  1.28
• Thinking with Programming Vision: Towards a Unified View for Thinking with Images (2025)
  Zirun Guo et al.
  1.28