This work recast this problem as a cooperative matrix-completion game, and train a reinforcement learning system, PackingStar, to solve it, providing an early example of AI-driven progress on a Hilbert-calibre problem, showing how reinforcement learning advances mathematical discovery by unlocking more expressive objec...
Cheng-Dong Ma, Th'eo Tao Zhaowei, Peng-Yu Li et al.· arXiv.org· 4 citations· ⚡1
A structured memory framework for query-conditioned user-state inference for long-term personalization that achieves state-of-the-art performance on both PersonaMem and KnowU-Bench, demonstrating the effectiveness of query-conditioned user-state inference for long-term personalization.
Heng Wang, Yifei Li, Lingling Zhang et al.· 0 citations
GLaQ, a grounded latent-query framework that replaces sequential latent rollout with a fixed set of context-conditioned queries grounded in the original visual tokens, is introduced, suggesting that direct query-to-image grounding can recover localized evidence from the full image without external visual operations or...
Ze-Sheng Yang, Lingling Zhang, Xinyu Zhang et al.· 1 citation
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