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 […]
Kavli Affiliate: Renxin Xu | First 5 Authors: Haoyang Qi, Haoyang Qi, , , | Summary: The fact that strange sea quarks are abundant in the nucleons, but without strangeness, is of great importance for understanding the nature of dense matter condensed by the strong interaction, particularly in the context of the “gigantic nucleus” formed […]
Kavli Affiliate: Renxin Xu | First 5 Authors: Haoyang Qi, Haoyang Qi, , , | Summary: The fact that strange sea quarks are abundant in the nucleons, but with zero net strangeness, is of great importance for understanding the nature of matter condensed by the strong interaction, particularly in the context of the “gigantic nucleus” […]
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 […]
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 […]
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 […]
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 […]
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 […]
Kavli Affiliate: Claudio Ricci | First 5 Authors: Kriti Kamal Gupta, Kriti Kamal Gupta, , , | Summary: Active galactic nuclei (AGN) emit radiation via accretion across the entire energy spectrum. While the standard disk and corona model can somewhat describe this emission, it fails to predict specific features such as the soft X-ray excess, […]
Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Ke Wang, , , | Summary: This paper presents a comprehensive study on the asymptotically optimal repair of Reed-Solomon (RS) codes with small sub-packetization, specifically tailored for rack-aware distributed storage systems. Through the utilization of multi-base expansion, we introduce a novel approach that leverages monomials […]