Key papers

• s1: Simple test-time scaling (2025)
  Niklas Muennighoff et al.
  9.77
• Beyond Binary Preference: Aligning Diffusion Models to Fine-grained Criteria by Decoupling Attributes (2026)
  Chenye Meng et al.
  1.94
• An Empirical Study on Preference Tuning Generalization and Diversity Under Domain Shift (2026)
  Constantinos Karouzos et al.
  1.94
• CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical Reasoning (2026)
  Eric Onyame et al.
  1.94
• Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification (2026)
  Yuxuan Wan et al.
  1.94
• OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task Execution (2026)
  Le Zhang et al.
  1.94
• V-Retrver: Evidence-Driven Agentic Reasoning for Universal Multimodal Retrieval (2026)
  Dongyang Chen et al.
  1.94
• LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding (2026)
  Jihao Qiu et al.
  1.94
• Temporal Gains, Spatial Costs: Revisiting Video Fine-Tuning in Multimodal Large Language Models (2026)
  Linghao Zhang et al.
  1.94
• Learning to Retrieve from Agent Trajectories (2026)
  Yuqi Zhou et al.
  1.94
• OmniScript: Towards Audio-Visual Script Generation for Long-Form Cinematic Video (2026)
  Junfu Pu et al.
  1.94
• Eliciting Medical Reasoning with Knowledge-enhanced Data Synthesis: A Semi-Supervised Reinforcement Learning Approach (2026)
  Haolin Li et al.
  1.94
• Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning (2026)
  NVIDIA et al.
  1.94
• How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data (2026)
  Zixian Huang 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
• DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data (2026)
  Venus Team et al.
  1.94
• Improving Vision-language Models with Perception-centric Process Reward Models (2026)
  Yingqian Min et al.
  1.94
• CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models (2026)
  Wenxuan Song et al.
  1.94
• PreScam: A Benchmark for Predicting Scam Progression from Early Conversations (2026)
  Weixiang Sun et al.
  1.94
• LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws (2026)
  Xu Ouyang et al.
  1.94
• LoMo: Local Modality Substitution for Deeper Vision-Language Fusion (2026)
  Feng Han et al.
  1.94
• ProCUA-SFT Technical Report (2026)
  Jaehun Jung et al.
  1.94
• Video-MME-Logical: A Controlled Diagnostic Benchmark for Video Temporal-Logical Reasoning (2026)
  Hohin Kwan et al.
  1.94
• DiffRetriever: Parallel Representative Tokens for Retrieval with Diffusion Language Models (2026)
  Shuai Wang et al.
  1.89
• Teaching Language Models to Think in Code (2026)
  Hyeon Hwang et al.
  1.89
• DocAtlas: Multilingual Document Understanding Across 80+ Languages (2026)
  Ahmed Heakl et al.
  1.89
• DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization (2026)
  Jian Mu et al.
  1.89
• Self-Execution Simulation Improves Coding Models (2026)
  Gallil Maimon et al.
  1.83
• DeonticBench: A Benchmark for Reasoning over Rules (2026)
  Guangyao Dou et al.
  1.83
• Synthetic Sandbox for Training Machine Learning Engineering Agents (2026)
  Yuhang Zhou et al.
  1.83
• Rethinking Generalization in Reasoning SFT: A Conditional Analysis on Optimization, Data, and Model Capability (2026)
  Qihan Ren et al.
  1.83
• 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
• X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests (2026)
  Jie Wu et al.
  1.67
• Agentic Reasoning for Large Language Models (2026)
  Tianxin Wei et al.
  1.67
• ASTRA: Automated Synthesis of agentic Trajectories and Reinforcement Arenas (2026)
  Xiaoyu Tian et al.
  1.67
• ACECODER: Acing Coder RL via Automated Test-Case Synthesis (2025)
  Huaye Zeng et al.
  1.28
• Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models (2025)
  Sonam Gupta et al.
  1.28
• SoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-Tuning (2025)
  Zexiong Ma et al.
  1.28
• IterPref: Focal Preference Learning for Code Generation via Iterative Debugging (2025)
  Jie Wu et al.
  1.28
• DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding (2025)
  Xinyu Ma et al.
  1.28
• R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization (2025)
  Jingyi Zhang et al.
  1.28
• SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning (2025)
  Peixian Ma et al.
  1.28
• SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models (2025)
  Hardy Chen et al.
  1.28
• Phi-4-reasoning Technical Report (2025)
  Marah Abdin et al.
  1.28
• X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains (2025)
  Qianchu Liu et al.
  1.28
• OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning (2025)
  Zhaochen Su et al.
  1.28
• UFT: Unifying Supervised and Reinforcement Fine-Tuning (2025)
  Mingyang Liu et al.
  1.28
• Synthetic Data RL: Task Definition Is All You Need (2025)
  Yiduo Guo et al.
  1.28
• LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning (2025)
  Zihang Liu et al.
  1.28
• CoRT: Code-integrated Reasoning within Thinking (2025)
  Chengpeng Li et al.
  1.28
• Tool-integrated Reinforcement Learning for Repo Deep Search (2025)
  Zexiong Ma et al.
  1.28
• Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization (2025)
  Zhenpeng Su et al.
  1.28
• Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering (2025)
  Bolei He et al.
  1.28
• Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions? (2025)
  Qinyan Zhang et al.
  1.28
• Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective (2025)
  Siwei Wang et al.
  1.28
• Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training (2025)
  Yein Park et al.
  1.28
• Apriel-1.5-15b-Thinker (2025)
  Shruthan Radhakrishna et al.
  1.28
• RLinf-VLA: A Unified and Efficient Framework for VLA+RL Training (2025)
  Hongzhi Zang et al.
  1.28
• Multimodal Policy Internalization for Conversational Agents (2025)
  Zhenhailong Wang et al.
  1.28