Orbits and self-twuality in set systems and delta-matroids

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Zhuo Li, , , | Summary: We introduce a new group action on set systems, constructed as a semidirect product of a permutation group and a group generated by twist and loop complementation operations on a single element. This action extends the ribbon group framework […]


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Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025

Kavli Affiliate: Ke Wang | First 5 Authors: Emily Alsentzer, Emily Alsentzer, , , | Summary: The 6th Annual Conference on Health, Inference, and Learning (CHIL 2025), hosted by the Association for Health Learning and Inference (AHLI), was held in person on June 25-27, 2025, at the University of California, Berkeley, in Berkeley, California, USA. […]


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What is the True HI Gas Content in Massive Quiescent Galaxies in the Local Universe?

Kavli Affiliate: Jing Wang | First 5 Authors: Xiao Li, Xiao Li, , , | Summary: While massive quiescent galaxies are known to be poor in atomic hydrogen (HI), their true HI content remains poorly constrained due to the limited sensitivity and morphological biases of existing surveys. We present deep HI observations using the Five-hundred-meter […]


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Taming the plunge: A circularization trap of supermassive black hole binaries

Kavli Affiliate: Pau Amaro Seoane | First 5 Authors: Pau Amaro Seoane, Pau Amaro Seoane, , , | Summary: We investigate the orbital eccentricity evolution of supermassive black hole binaries within galactic environments. We analyze the dynamics in triaxial merger remnants and subsequent interactions with geometrically thick nuclear discs. We confirm that gravitational torques in […]


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MathCanvas: Intrinsic Visual Chain-of-Thought for Multimodal Mathematical Reasoning

Kavli Affiliate: Ke Wang | First 5 Authors: Weikang Shi, Weikang Shi, , , | Summary: While Large Language Models (LLMs) have excelled in textual reasoning, they struggle with mathematical domains like geometry that intrinsically rely on visual aids. Existing approaches to Visual Chain-of-Thought (VCoT) are often limited by rigid external tools or fail to […]


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A further study on the high-precision optics for HIAF-BRing

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Ke Wang, , , | Summary: All equipment for the High Intensity heavy ion Accelerator Facility (HIAF) has been installed and beam commissioning is currently underway. This paper presents a further study on the high-precision optics, namely slice optics, of the Booster Ring (BRing) at […]


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The double neutron star PSR J1946+2052 I. Masses and tests of general relativity

Kavli Affiliate: Lijing Shao | First 5 Authors: Lingqi Meng, Lingqi Meng, , , | Summary: We conducted high-precision timing of PSR J1946+2052 to determine the masses of the two neutron stars in the system, test general relativity (GR) and assessed the system’s potential for future measurement of the moment of inertia of the pulsar. […]


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Enhanced Localization of Dark Lensed Gravitational Wave Events Enables Host Galaxy Identification and Precise Cosmological Inference

Kavli Affiliate: Qingjuan Yu | First 5 Authors: Zhiwei Chen, Zhiwei Chen, , , | Summary: Lensed gravitational wave (GW) events are expected to be powerful new probes of cosmology, contingent on redshift measurement by electromagnetic observations. Host galaxy identification is thus crucial but challenging due to poor localization by GW signal alone. In this […]


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YSO Variability in the W51 Star-Forming Region

Kavli Affiliate: Gregory Herczeg | First 5 Authors: , , , , | Summary: Time-domain studies of mid-infrared and submillimeter variability have shown that at least half of protostars are variable. We present a statistical analysis of mid-infrared variability among young stellar objects (YSOs) in the distant, massive star-forming region W51 using NEOWISE data. From […]


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APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Zhuo Li, , , | Summary: The reward model (RM) plays a crucial role in aligning Large Language Models (LLMs) with human preferences through Reinforcement Learning, where the Bradley-Terry (BT) objective has been recognized as simple yet powerful, specifically for pairwise preference learning. However, BT-based […]


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