EarthCrafter: Scalable 3D Earth Generation via Dual-Sparse Latent Diffusion

Kavli Affiliate: Jing Wang | First 5 Authors: Shang Liu, Shang Liu, , , | Summary: Despite the remarkable developments achieved by recent 3D generation works, scaling these methods to geographic extents, such as modeling thousands of square kilometers of Earth’s surface, remains an open challenge. We address this through a dual innovation in data […]


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Impact of Low-Earth Orbit Satellites on the China Space Station Telescope Observations

Kavli Affiliate: Hu Zhan | First 5 Authors: Huai-Jin Tang, Huai-Jin Tang, , , | Summary: It is projected that more than 100,000 communication satellites will be deployed in Low-Earth Orbit (LEO) over the next decade. These LEO satellites (LEOsats) will be captured frequently by the survey camera onboard the China Space Station Telescope (CSST), […]


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The ALMA Survey of 70 $μ$m Dark High-mass Clumps in Early Stages (ASHES). XII. Unanchored Forked Stream in the Propagating Path of a Protostellar Outflow

Kavli Affiliate: Ke Wang | First 5 Authors: Shuting Lin, Shuting Lin, , , | Summary: Outflows are key indicators of ongoing star formation. We report the discovery of an unanchored forked stream within the propagating path of an extremely young protostellar outflow in the 70 $mu$m-dark clump G34.74-0.12, based on ALMA 1.3 mm observations […]


Continue.. The ALMA Survey of 70 $μ$m Dark High-mass Clumps in Early Stages (ASHES). XII. Unanchored Forked Stream in the Propagating Path of a Protostellar Outflow

Conch: Competitive Debate Analysis via Visualizing Clash Points and Hierarchical Strategies

Kavli Affiliate: Ran Wang | First 5 Authors: Qianhe Chen, Qianhe Chen, , , | Summary: In-depth analysis of competitive debates is essential for participants to develop argumentative skills and refine strategies, and further improve their debating performance. However, manual analysis of unstructured and unlabeled textual records of debating is time-consuming and ineffective, as it […]


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DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training

Kavli Affiliate: Feng Yuan | First 5 Authors: Zhixin Wang, Zhixin Wang, , , | Summary: Reinforcement learning (RL) has become the pivotal post-training technique for large language model. Effectively scaling reinforcement learning is now the key to unlocking advanced reasoning capabilities and ensuring safe, goal-aligned behavior in the most powerful LLMs. Mainstream frameworks usually […]


Continue.. DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training

DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training

Kavli Affiliate: Feng Yuan | First 5 Authors: Zhixin Wang, Zhixin Wang, , , | Summary: Reinforcement learning (RL) has become the pivotal post-training technique for large language model. Effectively scaling reinforcement learning is now the key to unlocking advanced reasoning capabilities and ensuring safe, goal-aligned behavior in the most powerful LLMs. Mainstream frameworks usually […]


Continue.. DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training

DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training

Kavli Affiliate: Feng Yuan | First 5 Authors: Zhixin Wang, Zhixin Wang, , , | Summary: Reinforcement learning (RL) has become the pivotal post-training technique for large language model (LLM). Effectively scaling reinforcement learning is now the key to unlocking advanced reasoning capabilities and ensuring safe, goal-aligned behavior in the most powerful LLMs. Mainstream frameworks […]


Continue.. DistFlow: A Fully Distributed RL Framework for Scalable and Efficient LLM Post-Training

The Power of Architecture: Deep Dive into Transformer Architectures for Long-Term Time Series Forecasting

Kavli Affiliate: Zhuo Li | First 5 Authors: Lefei Shen, Lefei Shen, , , | Summary: Transformer-based models have recently become dominant in Long-term Time Series Forecasting (LTSF), yet the variations in their architecture, such as encoder-only, encoder-decoder, and decoder-only designs, raise a crucial question: What Transformer architecture works best for LTSF tasks? However, existing […]


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The Physical Origin and Time Lag of Multi-Frequency Flares from SgrA*

Kavli Affiliate: Feng Yuan | First 5 Authors: Hong-Xuan Jiang, Hong-Xuan Jiang, , , | Summary: Sagittarius~A$^*$, the supermassive black hole at the center of our galaxy, exhibits flares across various wavelengths, yet their origins remain elusive. We performed 3D two-temperature General Relativistic Magnetohydrodynamic (GRMHD) simulations of magnetized accretion flows initialized from multi-loop magnetic field […]


Continue.. The Physical Origin and Time Lag of Multi-Frequency Flares from SgrA*