Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Boyuan Yang, Xiangyu Yin, Wei Gao, | Summary: Personalization of Large Language Models (LLMs) is important in practical applications to accommodate the individual needs of different mobile users. Due to data privacy concerns, LLM personalization often needs to be locally done at the user’s mobile […]
Kavli Affiliate: Andrei Faraon | First 5 Authors: Alexey Tiranov, Emanuel Green, Sophie Hermans, Erin Liu, Federico Chiossi | Summary: Optically addressable solid-state spins have been extensively studied for quantum technologies, offering unique advantages for quantum computing, communication, and sensing. Advancing these applications is generally limited by finding materials that simultaneously provide lifetime-limited optical and […]
Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Xinyu Zhou, Peng Sun, Tianwei Zhang, Yonggang Wen | Summary: Key-Value cache (texttt{KV} texttt{cache}) compression has emerged as a promising technique to optimize Large Language Model (LLM) serving. It primarily decreases the memory consumption of texttt{KV} texttt{cache} to reduce the computation cost. Despite the development […]
Kavli Affiliate: James J. Bock | First 5 Authors: Edward Zhang, Andreas L. Faisst, Brendan Crill, Hanae Inami, Thomas Lai | Summary: Dust is a key galaxy component together with gas, stars, and central supermassive black holes, playing a crucial role in stellar and galaxy evolution. Hence, it is critical to understand galaxies’ dust content […]
Kavli Affiliate: Paul D. Asimow | First 5 Authors: Junjie Dong, Gabriel-Darius Mardaru, Paul D. Asimow, Lars P. Stixrude, Rebecca A. Fischer | Summary: We present globally inverted pressure-temperature (P-T) phase diagrams up to 5,000 GPa for four fundamental planetary materials, Fe, MgO, SiO2, and MgSiO3, derived from logistic regression and supervised learning, together with […]
Kavli Affiliate: Wei Gao | First 5 Authors: Kangli Wang, Wei Gao, , , | Summary: Learning-based point cloud compression methods have made significant progress in terms of performance. However, these methods still encounter challenges including high complexity, limited compression modes, and a lack of support for variable rate, which restrict the practical application of […]
Kavli Affiliate: Morteza Gharib | First 5 Authors: Adarsh Salagame, Shashwat Pandya, Ioannis Mandralis, Eric Sihite, Alireza Ramezani | Summary: Multi-rotors face significant risks, as actuator failures at high altitudes can easily result in a crash and the robot’s destruction. Therefore, rapid fault recovery in the event of an actuator failure is necessary for the […]
Kavli Affiliate: Wei Gao | First 5 Authors: Yuming Huang, Wei Gao, Zhiyuan Zhang, Maani Ghaffari, Dezhen Song | Summary: OpenStreetMap (OSM) has gained popularity recently in autonomous navigation due to its public accessibility, lower maintenance costs, and broader geographical coverage. However, existing methods often struggle with noisy OSM data and incomplete sensor observations, leading […]
Kavli Affiliate: Wei Gao | First 5 Authors: Qiaoling Chen, Shenggui Li, Wei Gao, Peng Sun, Yonggang Wen | Summary: In recent years, Large Language Models (LLMs) have exhibited remarkable capabilities, driving advancements in real-world applications. However, training LLMs on increasingly long input sequences imposes significant challenges due to high GPU memory and computational demands. […]
Kavli Affiliate: Scott K. Cushing | First 5 Authors: Cian C. Reeves, Scott K. Cushing, Vojtech Vlcek, , | Summary: Understanding how to control changes in electronic structure and related dynamical renormalizations by external driving fields is the key for understanding ultrafast spectroscopy and applications in electronics. Here we focus on the band-gap’s modulation by […]