Not-so-heavy metal(s): Chemical Abundances in the Ultra-faint Dwarf Galaxies Eridanus IV and Centaurus I

Kavli Affiliate: Alexander P. Ji | First 5 Authors: MairĂ©ad E Heiger, MairĂ©ad E Heiger, , , | Summary: We present detailed chemical abundances of the brightest star in each of the ultra-faint dwarf galaxies Eridanus IV and Centaurus I using high-resolution Magellan/MIKE spectroscopy. The brightest star in Centaurus I, CenI-5136, is a very metal-poor […]


Continue.. Not-so-heavy metal(s): Chemical Abundances in the Ultra-faint Dwarf Galaxies Eridanus IV and Centaurus I

The On-shell Gravity Action and Linear Dilaton Holography

Kavli Affiliate: Savdeep Sethi | First 5 Authors: Andrea Dei, Andrea Dei, , , | Summary: Computing the Euclidean spacetime action on-shell provides a useful way of both testing holographic proposals and determining the string theory sphere partition function. We consider families of three-dimensional linear dilaton spacetimes for which there are holographic proposals that share […]


Continue.. The On-shell Gravity Action and Linear Dilaton Holography

The On-shell Gravity Action and Linear Dilaton Holography

Kavli Affiliate: Savdeep Sethi | First 5 Authors: Andrea Dei, Andrea Dei, , , | Summary: Computing the Euclidean spacetime action on-shell provides a useful way of both testing holographic proposals and determining the string theory sphere partition function. We consider families of three-dimensional linear dilaton spacetimes for which there are holographic proposals that share […]


Continue.. The On-shell Gravity Action and Linear Dilaton Holography

Supernova Rates and Luminosity Functions from ASAS-SN II: 2014-2017 core-collapse supernovae and their subtypes

Kavli Affiliate: Subo Dong | First 5 Authors: T. Pessi, T. Pessi, , , | Summary: The volumetric rates and luminosity functions (LFs) of core-collapse supernovae (ccSN) and their subtypes are important for understanding the cosmic history of star formation and the buildup of ccSN products. To estimate these rates, we use data of nearby […]


Continue.. Supernova Rates and Luminosity Functions from ASAS-SN II: 2014-2017 core-collapse supernovae and their subtypes

Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning

Kavli Affiliate: Zhuo Li | First 5 Authors: Chongyuan Dai, Chongyuan Dai, , , | Summary: Amidst a shortage of qualified mental health professionals, the integration of large language models (LLMs) into psychological applications offers a promising way to alleviate the growing burden of mental health disorders. Recent reasoning-augmented LLMs have achieved remarkable performance in […]


Continue.. Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning

Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning

Kavli Affiliate: Zhuo Li | First 5 Authors: Chongyuan Dai, Chongyuan Dai, , , | Summary: Amidst a shortage of qualified mental health professionals, the integration of large language models (LLMs) into psychological applications offers a promising way to alleviate the growing burden of mental health disorders. Recent reasoning-augmented LLMs have achieved remarkable performance in […]


Continue.. Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning

On data-driven robust distortion risk measures for non-negative risks with partial information

Kavli Affiliate: Ran Wang | First 5 Authors: Xiangyu Han, Xiangyu Han, , , | Summary: In this paper, by proposing two new kinds of distributional uncertainty sets, we explore robustness of distortion risk measures against distributional uncertainty. To be precise, we first consider a distributional uncertainty set which is characterized solely by a ball […]


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Driving Accurate Allergen Prediction with Protein Language Models and Generalization-Focused Evaluation

Kavli Affiliate: Ran Wang | First 5 Authors: Brian Shing-Hei Wong, Brian Shing-Hei Wong, , , | Summary: Allergens, typically proteins capable of triggering adverse immune responses, represent a significant public health challenge. To accurately identify allergen proteins, we introduce Applm (Allergen Prediction with Protein Language Models), a computational framework that leverages the 100-billion parameter […]


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Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation

Kavli Affiliate: Zhuo Li | First 5 Authors: Huizhen Shu, Huizhen Shu, , , | Summary: With the rapid proliferation of Natural Language Processing (NLP), especially Large Language Models (LLMs), generating adversarial examples to jailbreak LLMs remains a key challenge for understanding model vulnerabilities and improving robustness. In this context, we propose a new black-box […]


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