SMoT: Think in State Machine

Kavli Affiliate: Jia Liu | First 5 Authors: Jia Liu, Jie Shuai, , , | Summary: Current prompting approach for language model inference mainly rely on Language Model’s (LLM) autonomous exploration of reasoning paths, confronts an inevitable retracing operation when erroneous routes are encountered. This is followed by the pursuit of alternative reasoning paths. However, […]


Continue.. SMoT: Think in State Machine

SMoT: Think in State Machine

Kavli Affiliate: Jia Liu | First 5 Authors: Jia Liu, Jie Shuai, , , | Summary: Current prompting approach for language model inference mainly rely on Language Model’s (LLM) autonomous exploration of reasoning paths, confronts an inevitable retracing operation when erroneous routes are encountered. This is followed by the pursuit of alternative reasoning paths. However, […]


Continue.. SMoT: Think in State Machine

Influence of Rhenium Concentration on Charge Doping and Defect Formation in MoS2

Kavli Affiliate: Ke Wang | First 5 Authors: Kyle T. Munson, Riccardo Torsi, Fatimah Habis, Lysander Huberich, Yu-Chuan Lin | Summary: Substitutionally doped transition metal dichalcogenides (TMDs) are the next step towards realizing TMD-based field effect transistors, sensors, and quantum photonic devices. Here, we report on the influence of Re concentration on charge doping and […]


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Tunable even- and odd-denominator fractional quantum Hall states in trilayer graphene

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yiwei Chen, Yan Huang, Qingxin Li, Bingbing Tong, Guangli Kuang | Summary: The fractional quantum Hall (FQH) states are exotic quantum many-body phases whose elementary charged excitations are neither bosons nor fermions but anyons, obeying fractional braiding statistics. While most FQH states are believed to have Abelian […]


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Analysis of Kozai Cycles in Equal-Mass Hierarchical Triple Supermassive Black Hole Mergers in the Presence of a Stellar Cluster

Kavli Affiliate: Pau Amaro Seoane | First 5 Authors: Wei Hao, M. B. N. Kouwenhoven, Rainer Spurzem, Pau Amaro Seoane, Rosemary A. Mardling | Summary: Supermassive black holes (SMBHs) play an important role in galaxy evolution. Binary and triple SMBHs can form after galaxy mergers. A third SMBH may accelerate the SMBH merging process, possibly […]


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Causal bounds on cosmological angular correlation

Kavli Affiliate: Craig Hogan | First 5 Authors: Craig Hogan, Ohkyung Kwon, Stephan S. Meyer, Nathaniel Selub, Frederick Wehlen | Summary: Causal relationships in conformal geometry are used to analyze angular boundaries of cosmic microwave background (CMB) correlations. It is shown that curvature correlations limited to timelike intervals on world lines that have connected causal […]


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Universal control of four singlet-triplet qubits

Kavli Affiliate: Menno Veldhorst | First 5 Authors: Xin Zhang, Elizaveta Morozova, Maximilian Rimbach-Russ, Daniel Jirovec, Tzu-Kan Hsiao | Summary: The coherent control of interacting spins in semiconductor quantum dots is of strong interest for quantum information processing as well as for studying quantum magnetism from the bottom up. On paper, individual spin-spin couplings can […]


Continue.. Universal control of four singlet-triplet qubits

Universal control of four singlet-triplet qubits

Kavli Affiliate: Menno Veldhorst | First 5 Authors: Xin Zhang, Elizaveta Morozova, Maximilian Rimbach-Russ, Daniel Jirovec, Tzu-Kan Hsiao | Summary: The coherent control of interacting spins in semiconductor quantum dots is of strong interest for quantum information processing as well as for studying quantum magnetism from the bottom up. On paper, individual spin-spin couplings can […]


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Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Polyp Segmentation

Kavli Affiliate: Yi Zhou | First 5 Authors: Yunqi Gu, Tao Zhou, Yizhe Zhang, Yi Zhou, Kelei He | Summary: Automatic polyp segmentation plays a crucial role in the early diagnosis and treatment of colorectal cancer (CRC). However, existing methods heavily rely on fully supervised training, which requires a large amount of labeled data with […]


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Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Jinagyun Li, Chen Chen, Yisi Zhang, Haoran Shen | Summary: The Few-Shot Segmentation (FSS) aims to accomplish the novel class segmentation task with a few annotated images. Current FSS research based on meta-learning focus on designing a complex interaction mechanism between the query and support […]


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