Key papers

• Influence Guided Sampling for Domain Adaptation of Text Retrievers (2026)
  Meet Doshi et al.
  1.94
• TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models (2026)
  Chansung Park et al.
  1.94
• Alignment Makes Language Models Normative, Not Descriptive (2026)
  Eilam Shapira et al.
  1.94
• Convergent Evolution: How Different Language Models Learn Similar Number Representations (2026)
  Deqing Fu et al.
  1.94
• Continual Harness: Online Adaptation for Self-Improving Foundation Agents (2026)
  Seth Karten 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
• Efficient Agentic Reinforcement Learning with On-Policy Intrinsic Knowledge Boundary Enhancement (2026)
  Dingwei Chen et al.
  1.94
• OpenSkill: Open-World Self-Evolution for LLM Agents (2026)
  Zhiling Yan et al.
  1.94
• Trust the Right Teacher: Quality-Aware Self-Distillation for GUI Grounding (2026)
  Jingyuan Huang et al.
  1.94
• The Verification Horizon: No Silver Bullet for Coding Agent Rewards (2026)
  Binghai Wang et al.
  1.94
• Bibby AI: An Editor-Native Agentic Platform for Academic Research, Writing, and Publishing (2026)
  Nilesh Jain
  1.94
• Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models (2026)
  Dehai Min et al.
  1.89
• ViPO: Visual Preference Optimization at Scale (2026)
  Ming Li et al.
  1.83
• CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation (2026)
  Weinan Dai et al.
  1.72
• SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models (2025)
  Hardy Chen et al.
  1.28
• Bridging Supervised Learning and Reinforcement Learning in Math Reasoning (2025)
  Huayu Chen et al.
  1.28
• Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs (2025)
  Jaemin Kim et al.
  1.28
• VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning (2025)
  Li Kang et al.
  1.28
• Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization (2025)
  Zhenpeng Su 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
• UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning (2025)
  Ye Liu 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
• PokeeResearch: Effective Deep Research via Reinforcement Learning from AI Feedback and Robust Reasoning Scaffold (2025)
  Yi Wan et al.
  1.28
• Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning (2025)
  Yihe Deng et al.
  1.28
• RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments (2025)
  Zhiyuan Zeng et al.
  1.28
• Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative Story (2025)
  Vladislav Pedashenko et al.
  1.28
• Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following (2025)
  Tianyi Xiong et al.
  1.28