Papers

• MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods (2026)
  Honglin Lin et al.
  1.94
• Efficient RLVR Training via Weighted Mutual Information Data Selection (2026)
  Xinyu Zhou et al.
  1.94
• CapVector: Learning Transferable Capability Vectors in Parametric Space for Vision-Language-Action Models (2026)
  Wenxuan Song et al.
  1.94
• DenoiseRL: Bootstrapping Reasoning Models to Recover from Noisy Prefixes (2026)
  Caijun Xu et al.
  1.94
• Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration (2026)
  Bowei He et al.
  1.72
• VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning (2025)
  Ye Liu et al.
  1.28
• Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning (2025)
  Jikai Jin et al.
  1.28
• Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory (2025)
  Lin Long et al.
  1.28
• Provable Benefits of In-Tool Learning for Large Language Models (2025)
  Sam Houliston et al.
  1.28
• ExGRPO: Learning to Reason from Experience (2025)
  Runzhe Zhan et al.
  1.28
• Olmo 3 (2025)
  Team Olmo et al.
  1.28
• JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models (2023)
  Zihao Wang et al.
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• ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers (2024)
  Chen Zheng et al.
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• Aligning Diffusion Models with Noise-Conditioned Perception (2024)
  Alexander Gambashidze et al.
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• Vector-ICL: In-context Learning with Continuous Vector Representations (2024)
  Yufan Zhuang et al.
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• SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAE (2024)
  Yongwei Chen et al.
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