Kavli Affiliate: Xian Chen | First 5 Authors: Mingfu Liang, Mingfu Liang, , , | Summary: Ads recommendation is a prominent service of online advertising systems and has been actively studied. Recent studies indicate that scaling-up and advanced design of the recommendation model can bring significant performance improvement. However, with a larger model scale, such […]
Kavli Affiliate: Robert A. Simcoe | First 5 Authors: Siwei Zou, Siwei Zou, , , | Summary: Cold and cool gas (T $leq 10^4$ K) in the circumgalactic medium (CGM) and its interaction with galaxies remain poorly understood. Simulations predict that cold gas flows into galaxies through cosmic filaments, determining the disk formation and galaxy […]
Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Tomojit Chowdhury, Aurélie Champagne, Patrick Knüppel, Zehra Naqvi, Ariana Ray | Summary: Bilayer crystals, built by stacking crystalline monolayers, generate interlayer potentials that govern excitonic phenomena but are constrained by fixed covalent lattices and orientations. Replacing one layer with an atomically thin molecular crystal overcomes this […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Hajar Emami Gohari, Hajar Emami Gohari, , , | Summary: Data quantity and quality play a vital role in determining the performance of Large Language Models (LLMs). High-quality data, in particular, can significantly boost the LLM’s ability to generalize on a wide range of downstream tasks. Large […]
Kavli Affiliate: Jia Liu | First 5 Authors: Junkai Chen, Junkai Chen, , , | Summary: As Multimodal Large Language Models (MLLMs) develop, their potential security issues have become increasingly prominent. Machine Unlearning (MU), as an effective strategy for forgetting specific knowledge in training data, has been widely used in privacy protection. However, MU for […]
Kavli Affiliate: Jia Liu | First 5 Authors: Junkai Chen, Junkai Chen, , , | Summary: As Multimodal Large Language Models (MLLMs) develop, their potential security issues have become increasingly prominent. Machine Unlearning (MU), as an effective strategy for forgetting specific knowledge in training data, has been widely used in privacy protection. However, MU for […]
Kavli Affiliate: Ke Wang | First 5 Authors: Xiaoqian Liu, Ke Wang, Yongbin Li, Yuchuan Wu, Wentao Ma | Summary: Large Language Models (LLMs) have shown impressive reasoning capabilities in well-defined problems with clear solutions, such as mathematics and coding. However, they still struggle with complex real-world scenarios like business negotiations, which require strategic reasoning-an […]
Kavli Affiliate: Mark Vogelsberger | First 5 Authors: , , , , | Summary: In this work, we trace the complete life cycle of individual GMCs in high-resolution Milky Way-mass galaxy simulations to determine how different stellar feedback mechanisms and galactic-scale processes govern cloud lifetimes, mass evolution, and local star formation efficiency (SFE). We identify […]
Kavli Affiliate: Dheeraj R. Pasham | First 5 Authors: Dheeraj R. Pasham, Eric Coughlin, Sjoert van Velzen, Jason Hinkle, | Summary: Quasi-periodic eruptions (QPEs) are recurring soft X-ray outbursts from galactic nuclei and represent an intriguing new class of transients. Currently, 10 QPE sources are reported in the literature, and a major challenge lies in […]
Kavli Affiliate: Mark J. Bowick | First 5 Authors: Fridtjof Brauns, Fridtjof Brauns, , , | Summary: The self-propulsion of +1/2 topological defects is a hallmark of active nematic fluids, where the defects are advected by the flow field they themselves generate. In this paper we propose a minimal model for defect self-propulsion in a […]