The vast oceans record the impacts of climate change and human activities on the Earth system. Over the past century, oceanographic scientists have collected extensive ocean profile data to reflect variations of oceanic elements, such as dissolved oxygen. However, due to the sophisticated measurements and high costs, h...
Bin Lu, Jingjing Shen, Ze Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
Climate change and anthropogenic activities have exacerbated hypoxic conditions in the global ocean, posing a serious threat to marine ecosystems. Quantifying changes in dissolved oxygen levels is crucial for understanding the impact of these factors on marine life and earth sustainability. However, dissolved oxygen ob...
Bin Lu, Luyu Han, Ze Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
Reinforcement learning has become a central paradigm for improving the reasoning capabilities of large language models. Existing methods generally aim to reduce the failure probabilities induced across problems. In this paper, we introduce a moment-based perspective on policy optimization for LLM reasoning by treating...
Yijun Zhang, Yule Xie, Jiaxin Ding et al.· 0 citations
PAQ (Prompt-Grounded Attention Quality), a metric quantifying how well each head aligns the prompt with image regions, is proposed and built on, which delivers state-of-the-art trade-offs on LLaVA-1.5-7B.
Yuan Sun, Huawei Ji, Yuanhao Jin et al.· 0 citations
Jingwei is a 4D spatiotemporal graph transfer learning model that reconstructs ocean oxygen levels globally over the past six decades on a 1◦ x 1◦ grid, covering depths of 0-5500 meters, and foresee Jingwei revolutionizing observation-based ocean modeling and deepening the authors' understanding of the breathless ocean...
Bin Lu, Luyu Han, Ze Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
Information Gain-based Rollout Policy Optimization (IGRPO) is proposed, a policy optimization framework that treats intermediate-state informativeness as the organizing principle of rollout collection and performs budget-aware tree-structured rollouts by allocating expansion budget according to node-level informativene...
Yijun Zhang, Fan Xu, Jiaxin Ding et al.· arXiv.org· 2 citations
The first oceanic 4D sparse observation reconstruction dataset, named OceanVerse, is presented, providing a novel large-scale dataset that meets the MNAR (Missing Not at Random) condition, supporting more effective model comparison, generalization evaluation and potential advancement of scientific reconstruction archit...
Bin Lu, Jingjing Shen, Ze Zhao et al.· Proceedings of the 32nd ACM...· 0 citations
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