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GenSI: Generative Symbolic Intelligence

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AI & ML interests

Our long-term goal is to achieve AGI by creating AI scientists. Specifically, our research directions include deeply unlocking intelligence through LLM, providing a favorable intelligent environment through AI4S foundational models, as well as exploring the in-depth interaction between these two aspects.

Recent Activity

Eric-Guoxy  submitted a paper 4 days ago
Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization
fdu-lcz  authored a paper 2 months ago
Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
fdu-lcz  authored a paper 2 months ago
Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges
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Papers

Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization

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YU PEI's profile pictureHao Zhou's profile pictureKeyue Qiu's profile pictureKingsley's profile pictureZhe Zhang's profile pictureFanzhehuan's profile pictureHugh Liu's profile pictureChangze Lv's profile pictureJiang Zhou's profile pictureyuanhangtangle's profile pictureThomas Wang's profile picture

GenSI 's collections 1

Forward-Learning
  • FLEX: Continuous Agent Evolution via Forward Learning from Experience

    Paper • 2511.06449 • Published Nov 9, 2025 • 14
Forward-Learning
  • FLEX: Continuous Agent Evolution via Forward Learning from Experience

    Paper • 2511.06449 • Published Nov 9, 2025 • 14
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