Stephanie: Step-by-Step Dialogues for Mimicking Human Interactions in Social Conversations

Kavli Affiliate: Xiang Zhang | First 5 Authors: Hao Yang, Hongyuan Lu, Xinhua Zeng, Yang Liu, Xiang Zhang | Summary: In the rapidly evolving field of natural language processing, dialogue systems primarily employ a single-step dialogue paradigm. Although this paradigm is efficient, it lacks the depth and fluidity of human interactions and does not appear […]


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Navigating Connected Car Cybersecurity: Location Anomaly Detection with RAN Data

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Yaron Koral, Kenichi Futamura, , | Summary: The cybersecurity of connected cars, integral to the broader Internet of Things (IoT) landscape, has become of paramount concern. Cyber-attacks, including hijacking and spoofing, pose significant threats to these technological advancements, potentially leading to unauthorized control over vehicular […]


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Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yixiao Wang, Yifei Zhang, Mingxiao Huo, Ran Tian, Xiang Zhang | Summary: The increasing complexity of tasks in robotics demands efficient strategies for multitask and continual learning. Traditional models typically rely on a universal policy for all tasks, facing challenges such as high computational costs and catastrophic […]


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Efficient state preparation for the quantum simulation of molecules in first quantization

Kavli Affiliate: Birgitta Whaley | First 5 Authors: William J. Huggins, Oskar Leimkuhler, Torin F. Stetina, K. Birgitta Whaley, | Summary: The quantum simulation of real molecules and materials is one of the most highly anticipated applications of quantum computing. Algorithms for simulating electronic structure using a first-quantized plane wave representation are especially promising due […]


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YuLan: An Open-source Large Language Model

Kavli Affiliate: Feng Wang | First 5 Authors: Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun | Summary: Large language models (LLMs) have become the foundation of many applications, leveraging their extensive capabilities in processing and understanding natural language. While many open-source LLMs have been released with technical reports, the lack of training […]


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YuLan: An Open-source Large Language Model

Kavli Affiliate: Feng Wang | First 5 Authors: Yutao Zhu, Kun Zhou, Kelong Mao, Wentong Chen, Yiding Sun | Summary: Large language models (LLMs) have become the foundation of many applications, leveraging their extensive capabilities in processing and understanding natural language. While many open-source LLMs have been released with technical reports, the lack of training […]


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ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Neel R. Vora, Yilun Xu, Akel Hashim, Neelay Fruitwala, Ho Nam Nguyen | Summary: Similar to reading the transistor state in classical computers, identifying the quantum bit (qubit) state is a fundamental operation to translate quantum information. However, identifying quantum state has been the slowest and most […]


Continue.. ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements

ML-Powered FPGA-based Real-Time Quantum State Discrimination Enabling Mid-circuit Measurements

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Neel R. Vora, Yilun Xu, Akel Hashim, Neelay Fruitwala, Ho Nam Nguyen | Summary: Similar to reading the transistor state in classical computers, identifying the quantum bit (qubit) state is a fundamental operation to translate quantum information. However, identifying quantum state has been the slowest and most […]


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Hardware-Efficient Randomized Compiling

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Neelay Fruitwala, Akel Hashim, Abhi D. Rajagopala, Yilun Xu, Jordan Hines | Summary: Randomized compiling (RC) is an efficient method for tailoring arbitrary Markovian errors into stochastic Pauli channels. However, the standard procedure for implementing the protocol in software comes with a large experimental overhead — namely, […]


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Through the Theory of Mind’s Eye: Reading Minds with Multimodal Video Large Language Models

Kavli Affiliate: Xiang Zhang | First 5 Authors: Zhawnen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang | Summary: Can large multimodal models have a human-like ability for emotional and social reasoning, and if so, how does it work? Recent research has discovered emergent theory-of-mind (ToM) reasoning capabilities in large language models (LLMs). LLMs […]


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