DexH2R: Task-oriented Dexterous Manipulation from Human to Robots

Kavli Affiliate: Xiang Zhang | First 5 Authors: Shuqi Zhao, Xinghao Zhu, Yuxin Chen, Chenran Li, Xiang Zhang | Summary: Dexterous manipulation is a critical aspect of human capability, enabling interaction with a wide variety of objects. Recent advancements in learning from human demonstrations and teleoperation have enabled progress for robots in such ability. However, […]


Continue.. DexH2R: Task-oriented Dexterous Manipulation from Human to Robots

Imagined Potential Games: A Framework for Simulating, Learning and Evaluating Interactive Behaviors

Kavli Affiliate: Xiang Zhang | First 5 Authors: Lingfeng Sun, Yixiao Wang, Pin-Yun Hung, Changhao Wang, Xiang Zhang | Summary: Interacting with human agents in complex scenarios presents a significant challenge for robotic navigation, particularly in environments that necessitate both collision avoidance and collaborative interaction, such as indoor spaces. Unlike static or predictably moving obstacles, […]


Continue.. Imagined Potential Games: A Framework for Simulating, Learning and Evaluating Interactive Behaviors

Transition Path and Interface Sampling of Stochastic Schrödinger Dynamics

Kavli Affiliate: David T. Limmer | First 5 Authors: Robson Christie, Peter G. Bolhuis, David T. Limmer, , | Summary: We study rare transitions in Markovian open quantum systems driven with Gaussian noise, applying transition path and interface sampling methods to trajectories generated by stochastic Schr"odinger dynamics. Interface and path sampling offer insights into rare […]


Continue.. Transition Path and Interface Sampling of Stochastic Schrödinger Dynamics

Orbital-spin Locking and its Optical Signatures in Altermagnets

Kavli Affiliate: Joel E. Moore | First 5 Authors: Marc Vila, Veronika Sunko, Joel E. Moore, , | Summary: Altermagnets, magnetic materials with zero magnetization and spin-split band structure, have gained tremendous attention recently for their rich physics and potential applications. Here, we report on a microscopic tight-binding model that unveils a unique coupling between […]


Continue.. Orbital-spin Locking and its Optical Signatures in Altermagnets

Quantum optimal control of superconducting qubits based on machine-learning characterization

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Elie Genois, Noah J. Stevenson, Noah Goss, Irfan Siddiqi, Alexandre Blais | Summary: Implementing fast and high-fidelity quantum operations using open-loop quantum optimal control relies on having an accurate model of the quantum dynamics. Any deviations between this model and the complete dynamics of the device, such […]


Continue.. Quantum optimal control of superconducting qubits based on machine-learning characterization

Superposition- and interference-induced optical spectrum distortion in the figure-9 fiber laser

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Guochao Wang, Kangrui Chang, Haobin Zheng, Yongzhuang Zhou | Summary: The spectrum of the output pulses from the figure-9 laser typically exhibits more distortion than the spectra from mode-locked lasers based on other saturable absorbers and the spectrum of its intracavity pulses. Here, we demonstrate […]


Continue.. Superposition- and interference-induced optical spectrum distortion in the figure-9 fiber laser

EACO-RAG: Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update

Kavli Affiliate: Feng Wang | First 5 Authors: Jiaxing Li, Chi Xu, Lianchen Jia, Feng Wang, Cong Zhang | Summary: Large Language Models are revolutionizing Web, mobile, and Web of Things systems, driving intelligent and scalable solutions. However, as Retrieval-Augmented Generation (RAG) systems expand, they encounter significant challenges related to scalability, including increased delay and […]


Continue.. EACO-RAG: Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update

Counting Ability of Large Language Models and Impact of Tokenization

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Juntai Cao, Chenyu You, , | Summary: Transformers, the backbone of modern large language models (LLMs), face inherent architectural limitations that impede their reasoning capabilities. Unlike recurrent networks, Transformers lack recurrent connections, confining them to constant-depth computation. This restriction places them in the complexity class […]


Continue.. Counting Ability of Large Language Models and Impact of Tokenization

Counting Ability of Large Language Models and Impact of Tokenization

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Juntai Cao, Chenyu You, , | Summary: Transformers, the backbone of modern large language models (LLMs), face inherent architectural limitations that impede their reasoning capabilities. Unlike recurrent networks, Transformers lack recurrent connections, confining them to constant-depth computation. This restriction places them in the complexity class […]


Continue.. Counting Ability of Large Language Models and Impact of Tokenization

Modeling the Superlattice Phase Diagram of Transition Metal Intercalation in Bilayer 2H-TaS$_2$

Kavli Affiliate: David T. Limmer | First 5 Authors: Isaac M. Craig, B. Junsuh Kim, David T. Limmer, D. Kwabena Bediako, Sinéad M. Griffin | Summary: Van der Waals hosts intercalated with transition metal (TM) ions exhibit a range of magnetic properties strongly influenced by the structural order of the intercalants. However, predictive computational models […]


Continue.. Modeling the Superlattice Phase Diagram of Transition Metal Intercalation in Bilayer 2H-TaS$_2$