Gravitational Wave Science in the Mid-Band with Atom Interferometers

Kavli Affiliate: Peter W. Graham | First 5 Authors: Sebastian Baum, Zachary Bogorad, Peter W. Graham, , | Summary: Gravitational Waves (GWs) have been detected in the $sim 100$ Hz and nHz bands, but most of the gravitational spectrum remains unobserved. A variety of detector concepts have been proposed to expand the range of observable […]


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Gravitational Wave Measurement in the Mid-Band with Atom Interferometers

Kavli Affiliate: Peter W. Graham | First 5 Authors: Sebastian Baum, Zachary Bogorad, Peter W. Graham, , | Summary: Gravitational Waves (GWs) have been detected in the $sim$100 Hz and nHz bands, but most of the gravitational spectrum remains unobserved. A variety of detector concepts have been proposed to expand the range of observable frequencies. […]


Continue.. Gravitational Wave Measurement in the Mid-Band with Atom Interferometers

Recovering from Privacy-Preserving Masking with Large Language Models

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma | Summary: Model adaptation is crucial to handle the discrepancy between proxy training data and actual users data received. To effectively perform adaptation, textual data of users is typically stored on servers or their local devices, where […]


Continue.. Recovering from Privacy-Preserving Masking with Large Language Models

Recovering from Privacy-Preserving Masking with Large Language Models

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Arpita Vats, Zhe Liu, Peng Su, Debjyoti Paul, Yingyi Ma | Summary: Model adaptation is crucial to handle the discrepancy between proxy training data and actual users data received. To effectively perform adaptation, textual data of users is typically stored on servers or their local devices, where […]


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On the Comparison of AGN with GRMHD Simulations: II. M87

Kavli Affiliate: Roger Blandford | First 5 Authors: Richard Anantua, Angelo Ricarte, George Wong, Razieh Emami, Roger Blandford | Summary: Horizon-scale observations of the jetted active galactic nucleus M87 are compared with simulations spanning a broad range of dissipation mechanisms and plasma content in three-dimensional general relativistic flows around spinning black holes. Observations of synchrotron […]


Continue.. On the Comparison of AGN with GRMHD Simulations: II. M87

On the Comparison of AGN with GRMHD Simulations: II. M87

Kavli Affiliate: Roger Blandford | First 5 Authors: Richard Anantua, Angelo Ricarte, George Wong, Razieh Emami, Roger Blandford | Summary: Horizon-scale observations of the jetted active galactic nucleus M87 are compared with simulations spanning a broad range of dissipation mechanisms and plasma content in three-dimensional general relativistic flows around spinning black holes. Observations of synchrotron […]


Continue.. On the Comparison of AGN with GRMHD Simulations: II. M87

Fermi constraints on the ejecta speed and prompt emission region of the distant GRB 220101A

Kavli Affiliate: Nicola Omodei | First 5 Authors: Lorenzo Scotton, Frédéric Piron, Nicola Omodei, Niccolò Di Lalla, Elisabetta Bissaldi | Summary: GRB 220101A is the most distant gamma-ray burst detected by the Fermi-LAT to date, at a redshift z = 4.618. It is also a very energetic event, with an equivalent isotropic energy of $3.6times10^{54}$ […]


Continue.. Fermi constraints on the ejecta speed and prompt emission region of the distant GRB 220101A

Fermi Constraints on the Ejecta Speed and Prompt Emission Region of the Distant GRB 220101A

Kavli Affiliate: Nicola Omodei | First 5 Authors: Lorenzo Scotton, Frédéric Piron, Nicola Omodei, Niccolò Di Lalla, Elisabetta Bissaldi | Summary: At redshift z = 4.618, GRB 220101A is the most distant gamma-ray burst (GRB) detected by Fermi/LAT to date. It is also a very energetic event, with an equivalent isotropic energy of $3.6times10^{54}$ erg. […]


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Contextual Biasing of Named-Entities with Large Language Models

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma, Zhe Liu, Yutong Pang | Summary: This paper studies contextual biasing with Large Language Models (LLMs), where during second-pass rescoring additional contextual information is provided to a LLM to boost Automatic Speech Recognition (ASR) performance. We propose to leverage prompts for […]


Continue.. Contextual Biasing of Named-Entities with Large Language Models

Contextual Biasing of Named-Entities with Large Language Models

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Chuanneng Sun, Zeeshan Ahmed, Yingyi Ma, Zhe Liu, Lucas Kabela | Summary: This paper studies contextual biasing with Large Language Models (LLMs), where during second-pass rescoring additional contextual information is provided to a LLM to boost Automatic Speech Recognition (ASR) performance. We propose to leverage prompts for […]


Continue.. Contextual Biasing of Named-Entities with Large Language Models