Key papers

• Beyond Binary Preference: Aligning Diffusion Models to Fine-grained Criteria by Decoupling Attributes (2026)
  Chenye Meng et al.
  1.94
• EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines (2026)
  Shuo Zhang et al.
  1.94
• OmegaUse: Building a General-Purpose GUI Agent for Autonomous Task Execution (2026)
  Le Zhang et al.
  1.94
• Unified Personalized Reward Model for Vision Generation (2026)
  Yibin Wang et al.
  1.94
• Trust The Typical (2026)
  Debargha Ganguly et al.
  1.94
• Length-Unbiased Sequence Policy Optimization: Revealing and Controlling Response Length Variation in RLVR (2026)
  Fanfan Liu et al.
  1.94
• AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization (2026)
  Ashutosh Chaubey et al.
  1.94
• REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents (2026)
  Zheng Chu et al.
  1.94
• ISO-Bench: Can Coding Agents Optimize Real-World Inference Workloads? (2026)
  Ayush Nangia et al.
  1.94
• OCR-Agent: Agentic OCR with Capability and Memory Reflection (2026)
  Shimin Wen et al.
  1.94
• InfoPO: Information-Driven Policy Optimization for User-Centric Agents (2026)
  Fanqi Kong et al.
  1.94
• POLCA: Stochastic Generative Optimization with LLM (2026)
  Xuanfei Ren et al.
  1.94
• GEMS: Agent-Native Multimodal Generation with Memory and Skills (2026)
  Zefeng He et al.
  1.94
• Learning to Retrieve from Agent Trajectories (2026)
  Yuqi Zhou 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
• StepPO: Step-Aligned Policy Optimization for Agentic Reinforcement Learning (2026)
  Daoyu Wang et al.
  1.94
• Metal-Sci: A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon (2026)
  Víctor Gallego
  1.94
• MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning (2026)
  Yaolun Zhang et al.
  1.94
• AgentKernelArena: Generalization-Aware Benchmarking of GPU Kernel Optimization Agents (2026)
  Sharareh Younesian et al.
  1.94
• Code as Agent Harness (2026)
  Xuying Ning et al.
  1.94
• Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR (2026)
  Utkarsh Tyagi et al.
  1.94
• Advancing Creative Physical Intelligence in Large Multimodal Models (2026)
  Cheng Qian et al.
  1.94
• DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes (2026)
  Caijun Xu et al.
  1.94
• Adaptive Auto-Harness: Sustained Self-Improvement for Agentic System Deployment on Open-Ended Task Streams (2026)
  Zewen Liu et al.
  1.94
• Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training (2026)
  Michal Chudoba et al.
  1.94
• GD^2PO: Mitigating Multi-Reward Conflicts via Group-Dynamic reward-Decoupled Policy Optimization (2026)
  Haotian Liu et al.
  1.94
• MARBLE: Multi-Aspect Reward Balance for Diffusion RL (2026)
  Canyu Zhao et al.
  1.89
• RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards (2026)
  Gaotang Li et al.
  1.89
• DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization (2026)
  Jian Mu et al.
  1.89
• Signals: Trajectory Sampling and Triage for Agentic Interactions (2026)
  Shuguang Chen 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
• ViPO: Visual Preference Optimization at Scale (2026)
  Ming Li et al.
  1.83
• REVERE: Reflective Evolving Research Engineer for Scientific Workflows (2026)
  Balaji Dinesh Gangireddi et al.
  1.78
• PromptRL: Prompt Matters in RL for Flow-Based Image Generation (2026)
  Fu-Yun Wang et al.
  1.72
• Online Causal Kalman Filtering for Stable and Effective Policy Optimization (2026)
  Shuo He et al.
  1.72
• CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation (2026)
  Weinan Dai et al.
  1.72
• Flow-based Extremal Mathematical Structure Discovery (2026)
  Gergely Bérczi et al.
  1.67
• RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation (2025)
  Kaiqu Liang et al.
  1.28
• NatureLM: Deciphering the Language of Nature for Scientific Discovery (2025)
  Yingce Xia et al.
  1.28
• FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading (2025)
  Guojun Xiong et al.
  1.28
• Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity (2025)
  Yuri Kuratov et al.
  1.28
• Thinking Preference Optimization (2025)
  Wang Yang et al.
  1.28
• Visual-RFT: Visual Reinforcement Fine-Tuning (2025)
  Ziyu Liu et al.
  1.28
• Teaching Metric Distance to Autoregressive Multimodal Foundational Models (2025)
  Jiwan Chung et al.
  1.28
• Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models (2025)
  Thomas Winninger et al.
  1.28
• Painting with Words: Elevating Detailed Image Captioning with Benchmark and Alignment Learning (2025)
  Qinghao Ye et al.
  1.28
• DAPO: An Open-Source LLM Reinforcement Learning System at Scale (2025)
  Qiying Yu et al.
  1.28
• Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning (2025)
  Yufei Zhan et al.
  1.28
• X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents (2025)
  Salman Rahman et al.
  1.28
• DRAGON: Distributional Rewards Optimize Diffusion Generative Models (2025)
  Yatong Bai et al.
  1.28
• YoChameleon: Personalized Vision and Language Generation (2025)
  Thao Nguyen et al.
  1.28
• QwenLong-CPRS: Towards infty-LLMs with Dynamic Context Optimization (2025)
  Weizhou Shen et al.
  1.28
• Bridging Supervised Learning and Reinforcement Learning in Math Reasoning (2025)
  Huayu Chen et al.
  1.28
• Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization (2025)
  Mingzhe Du et al.
  1.28
• Efficient Machine Unlearning via Influence Approximation (2025)
  Jiawei Liu et al.
  1.28
• DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language Model (2025)
  Mohammadreza Ghaffarzadeh-Esfahani et al.
  1.28
• RewardDance: Reward Scaling in Visual Generation (2025)
  Jie Wu et al.
  1.28
• Adaptive Kernel Design for Bayesian Optimization Is a Piece of CAKE with LLMs (2025)
  Richard Cornelius Suwandi et al.
  1.28
• The Era of Real-World Human Interaction: RL from User Conversations (2025)
  Chuanyang Jin et al.
  1.28
• Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training (2025)
  Yein Park et al.
  1.28