Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library

Kavli Affiliate: Wei Gao | First 5 Authors: Weixun Wang, Shaopan Xiong, Gengru Chen, Wei Gao, Sheng Guo | Summary: We introduce ROLL, an efficient, scalable, and user-friendly library designed for Reinforcement Learning Optimization for Large-scale Learning. ROLL caters to three primary user groups: tech pioneers aiming for cost-effective, fault-tolerant large-scale training, developers requiring flexible […]


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Cavity-mediated cross-cross-resonance gate

Kavli Affiliate: Oskar Painter | First 5 Authors: Alexey V. Gorshkov, Daniel Cohen, Arbel Haim, Amit Rotem, Or Golan | Summary: We propose a cavity-mediated gate between two transmon qubits or other nonlinear superconducting elements. The gate is realized by driving both qubits at a frequency that is near-resonant with the frequency of the cavity. […]


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Helmet ultrasound for brain imaging in post-hemicraniectomy patients

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Yang Zhang, Karteekeya Sastry, Iyla Rossi, Joshua Olick-Gibson, Jonathan J. Russin | Summary: Noninvasive imaging deep into the adult brain at submillimeter and millisecond scales remains a challenge in medical imaging. Here, we report a helmet based ultrasound brain imager built from a customized helmet, a […]


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CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention

Kavli Affiliate: Wei Gao | First 5 Authors: Yuxi Sun, Aoqi Zuo, Wei Gao, Jing Ma, | Summary: Large Language Models (LLMs) often exhibit knowledge disparities across languages. Encouraging LLMs to textit{abstain} when faced with knowledge gaps is a promising strategy to reduce hallucinations in multilingual settings. Current abstention strategies for multilingual scenarios primarily rely […]


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The SPHEREx Sky Simulator: Science Data Modeling for the First All-Sky Near-Infrared Spectral Survey

Kavli Affiliate: James J. Bock | First 5 Authors: Brendan P. Crill, Yoonsoo P. Bach, Sean A. Bryan, Jean Choppin de Janvry, Ari J. Cukierman | Summary: We describe the SPHEREx Sky Simulator, a software tool designed to model science data for NASA’s SPHEREx mission that will carry out a series of all-sky spectrophotometric surveys […]


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Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs

Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Cunxiao Du, Sicheng Yu, Jiawei Wu, Fengzhuo Zhang | Summary: Due to the auto-regressive nature of current video large language models (Video-LLMs), the inference latency increases as the input sequence length grows, posing challenges for the efficient processing of video sequences that are usually very […]


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A Novel Benchmark and Dataset for Efficient 3D Gaussian Splatting with Gaussian Point Cloud Compression

Kavli Affiliate: Wei Gao | First 5 Authors: Kangli Wang, Shihao Li, Qianxi Yi, Wei Gao, | Summary: Recently, immersive media and autonomous driving applications have significantly advanced through 3D Gaussian Splatting (3DGS), which offers high-fidelity rendering and computational efficiency. Despite these advantages, 3DGS as a display-oriented representation requires substantial storage due to its numerous […]


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Superconducting vacancy-ordered rock-salt NbO films

Kavli Affiliate: Joseph Falson | First 5 Authors: Jeong Rae Kim, Sandra Glotzer, Evan Krysko, Matthew R. Barone, Jinkwon Kim | Summary: We report molecular beam epitaxy synthesis of vacancy-ordered rocksalt NbO thin films which display superconductivity. A comparative study of substrates identifies Al$_2$O$_3$ (0001) as the optimal platform for realizing high-quality, single-phase films when […]


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ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data

Kavli Affiliate: Wei Gao | First 5 Authors: Xinzhe Zheng, Sijie Ji, Jiawei Sun, Renqi Chen, Wei Gao | Summary: Mental health risk is a critical global public health challenge, necessitating innovative and reliable assessment methods. With the development of large language models (LLMs), they stand out to be a promising tool for explainable mental […]


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