June 2025 – Page 16 – Kavli Institute Pre-Print Publications

High-Sensitivity Fiber Interferometer for Gravitational Phase Shift Measurement on Entangled States

Posted by klaurent June 11, 2025MIT

Kavli Affiliate: Nergis Mavalvala | Summary:In this contribution, we describe the status of our experiment aimed at measuring the gravitationally induced phase shift on path-entangled photons. We use a kilometer-scale fiber interferometer whose arms are vertically displaced in the Earth gravitational potential, allowing photons propagating at different heights to accumulate different phases. To date, this […]

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A Metallicity Catalog of Very Metal-poor Main-sequence Turn-off and Red Giant Stars from LAMOST DR10

Posted by klaurent June 11, 2025Peking

Kavli Affiliate: Huawei Zhang | Summary:We present a catalog of 8,440 candidate very metal-poor (VMP; [Fe/H] < -2.0) main-sequence turn-off (MSTO) and red giant stars in the Milky Way, identified from low-resolution spectra in LAMOST DR10. More than 7,000 of these candidates are brighter than G ~ 16, making them excellent targets for high-resolution spectroscopic […]

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The Fast and the Frame-Dragging: Efficient waveforms for asymmetric-mass eccentric equatorial inspirals into rapidly-spinning black holes

Posted by klaurent June 11, 2025MIT

Kavli Affiliate: Scott A. Hughes | Summary:Observations of gravitational-wave signals emitted by compact binary inspirals provide unique insights into their properties, but their analysis requires accurate and efficient waveform models. Intermediate- and extreme-mass-ratio inspirals (I/EMRIs), with mass ratios $q gtrsim 10^2$, are promising sources for future detectors such as the Laser Interferometer Space Antenna (LISA). […]

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LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge

Posted by klaurent June 11, 2025Cornell

Kavli Affiliate: Chris Xu | First 5 Authors: Songze Li, Songze Li, , , | Summary: Large Language Models (LLMs) have demonstrated exceptional capabilities across diverse tasks, driving the development and widespread adoption of LLM-as-a-Judge systems for automated evaluation, including red teaming and benchmarking. However, these systems are susceptible to adversarial attacks that can manipulate […]

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Ferroelectric control of bipolar magnetic semiconductor with room Curie temperature

Posted by dbos June 11, 2025UCAS

Kavli Affiliate: Gang Su | First 5 Authors: Jia-Wen Li, Gang Su, Bo Gu, , | Summary: The development of room-temperature tunable magnetic semiconductors is crucial for the advancement of low-power, high-performance information technologies. Using density functional theory calculations, we propose a series of two-dimensional magnetic semiconductors with critical temperature above room temperature, including three […]

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Analysis of Anonymous User Interaction Relationships and Prediction of Advertising Feedback Based on Graph Neural Network

Posted by dbos June 11, 2025Peking

Kavli Affiliate: Feng Yuan | First 5 Authors: Yanjun Dai, Haoyang Feng, Yuan Gao, , | Summary: While online advertising is highly dependent on implicit interaction networks of anonymous users for engagement inference, and for the selection and optimization of delivery strategies, existing graph models seldom can capture the multi-scale temporal, semantic and higher-order dependency […]

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TTrace: Lightweight Error Checking and Diagnosis for Distributed Training

Posted by klaurent June 10, 2025Peking

Kavli Affiliate: Li Xin Li| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Distributed training is essential for scaling the training of large neural network models, such as large language models (LLMs), across thousands of GPUs. However, the complexity of distributed training programs makes them particularly prone to silent bugs, which do not produce explicit […]

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Mitigating antenna gain errors with HyFoReS in CHIME simulations

Posted by dbos June 10, 2025June 23, 2025MIT

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Haochen Wang, Panupong Phoompuang, Kiyoshi W. Masui, Arnab Chakraborty, Simon Foreman | Summary: Hybrid Foreground Residual Subtraction (HyFoReS) is a new family of algorithms designed to remove systematics-induced foreground contamination for 21-cm intensity mapping data. Previously, the algorithm was shown to be effective in mitigating beam […]

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MagCache: Fast Video Generation with Magnitude-Aware Cache

Posted by klaurent June 10, 2025Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Zehong Ma, Zehong Ma, , , | Summary: Existing acceleration techniques for video diffusion models often rely on uniform heuristics or time-embedding variants to skip timesteps and reuse cached features. These approaches typically require extensive calibration with curated prompts and risk inconsistent outputs due to prompt-specific overfitting. […]

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MagCache: Fast Video Generation with Magnitude-Aware Cache

Posted by dbos June 10, 2025June 23, 2025Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Zehong Ma, Longhui Wei, Feng Wang, Shiliang Zhang, Qi Tian | Summary: Existing acceleration techniques for video diffusion models often rely on uniform heuristics or time-embedding variants to skip timesteps and reuse cached features. These approaches typically require extensive calibration with curated prompts and risk inconsistent outputs […]

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