Key papers

• Thinking in Uncertainty: Mitigating Hallucinations in MLRMs with Latent Entropy-Aware Decoding (2026)
  Zhongxing Xu et al.
  1.94
• FlashSampling: Fast and Memory-Efficient Exact Sampling (2026)
  Tomas Ruiz et al.
  1.94
• ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling (2026)
  Yawen Luo et al.
  1.94
• OpenVLThinkerV2: A Generalist Multimodal Reasoning Model for Multi-domain Visual Tasks (2026)
  Wenbo Hu et al.
  1.94
• LangFlow: Continuous Diffusion Rivals Discrete in Language Modeling (2026)
  Yuxin Chen et al.
  1.94
• Is Position Bias in Dense Retrievers Built In-or Learned from Data? (2026)
  Daegon Yu et al.
  1.94
• Reinforcement Learning via Value Gradient Flow (2026)
  Haoran Xu et al.
  1.83
• ASA: Training-Free Representation Engineering for Tool-Calling Agents (2026)
  Youjin Wang et al.
  1.72
• Reliable and Responsible Foundation Models: A Comprehensive Survey (2026)
  Xinyu Yang et al.
  1.72
• Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling (2026)
  Mingqian Feng et al.
  1.67
• APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding (2025)
  Xinyu Yang et al.
  1.28
• Rank1: Test-Time Compute for Reranking in Information Retrieval (2025)
  Orion Weller et al.
  1.28
• Learning Few-Step Diffusion Models by Trajectory Distribution Matching (2025)
  Yihong Luo et al.
  1.28
• QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension (2025)
  Yongdong Luo et al.
  1.28
• DRAGON: Distributional Rewards Optimize Diffusion Generative Models (2025)
  Yatong Bai et al.
  1.28
• DINGO: Constrained Inference for Diffusion LLMs (2025)
  Tarun Suresh et al.
  1.28
• un^2CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP (2025)
  Yinqi Li et al.
  1.28
• CoMemo: LVLMs Need Image Context with Image Memory (2025)
  Shi Liu 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
• Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models (2025)
  Yongding Tao et al.
  1.28
• Learning an Image Editing Model without Image Editing Pairs (2025)
  Nupur Kumari et al.
  1.28
• Machine Text Detectors are Membership Inference Attacks (2025)
  Ryuto Koike et al.
  1.28
• RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments (2025)
  Zhiyuan Zeng et al.
  1.28
• Flow Map Distillation Without Data (2025)
  Shangyuan Tong et al.
  1.28
• On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes (2023)
  Rishabh Agarwal et al.
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• Confidence Regulation Neurons in Language Models (2024)
  Alessandro Stolfo et al.
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