Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMs

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Yuhao Du, Jinpeng Hu, Xiang Wan, Anningzhe Gao | Summary: Large language models (LLMs) have shown success in generating high-quality responses. In order to achieve better alignment with LLMs with human preference, various works are proposed based on specific optimization process, which, however, is not […]


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Influence of planets on debris discs in star clusters — II. The impact of stellar density

Kavli Affiliate: Rainer Spurzem | First 5 Authors: Kai Wu, M. B. N. Kouwenhoven, Francesco Flammini Dotti, Rainer Spurzem, | Summary: We present numerical simulations of planetary systems in star clusters with different initial stellar densities, to investigate the impact of the density on debris disc dynamics. We use LPS+ to combine N-body codes NBODY6++GPU […]


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Gravitational wave ringdown analysis using the $mathcal{F}$-statistic

Kavli Affiliate: Lijing Shao | First 5 Authors: Hai-Tian Wang, Garvin Yim, Xian Chen, Lijing Shao, | Summary: After the final stage of the merger of two black holes, the ringdown signal takes an important role on providing information about the gravitational dynamics in strong field. We introduce a novel time-domain (TD) approach, predicated on […]


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Discovering Dark Matter with the MUonE Experiment

Kavli Affiliate: Gordan Krnjaic | First 5 Authors: Gordan Krnjaic, Duncan Rocha, Isaac R. Wang, , | Summary: The MUonE experiment aims to extract the hardonic contribution the muon anomalous magnetic moment from a precise measurement of the muon-electron differential scattering cross section. We show that MUonE can also discover thermal relic dark matter using […]


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Broad-line Region of the Quasar PG 2130+099. II. Doubling the Size Over Four Years?

Kavli Affiliate: Luis C. Ho | First 5 Authors: Zhu-Heng Yao, Sen Yang, Wei-Jian Guo, Yong-Jie Chen, Yu-Yang Songsheng | Summary: Over the past three decades, multiple reverberation mapping (RM) campaigns conducted for the quasar PG 2130+099 have exhibited inconsistent findings with time delays ranging from $sim$10 to $sim$200 days. To achieve a comprehensive understanding […]


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VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun | Summary: Foundation models have emerged as a promising approach in time series forecasting (TSF). Existing approaches either fine-tune large language models (LLMs) or build large-scale time-series datasets to develop TSF foundation models. However, these methods […]


Continue.. VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Kavli Affiliate: Zhuo Li | First 5 Authors: Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun | Summary: Foundation models have emerged as a promising approach in time series forecasting (TSF). Existing approaches either repurpose large language models (LLMs) or build large-scale time series datasets to develop TSF foundation models for universal […]


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A neural network emulator of the Advanced LIGO and Advanced Virgo selection function

Kavli Affiliate: Daniel E. Holz | First 5 Authors: Thomas A. Callister, Reed Essick, Daniel E. Holz, , | Summary: Characterization of search selection effects comprises a core element of gravitational-wave data analysis. Knowledge of selection effects is needed to predict observational prospects for future surveys and is essential in the statistical inference of astrophysical […]


Continue.. A neural network emulator of the Advanced LIGO and Advanced Virgo selection function