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 […]
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 […]
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 […]
Kavli Affiliate: Emil J. Martinec | First 5 Authors: Iosif Bena, Iosif Bena, , , | Summary: In AdS$_3$/CFT$_2$ duality, there are large families of smooth, horizonless microstate geometries that correspond to heavy pure states of the dual CFT. The metric and fluxes are complicated functions of up to five coordinates. There are also many […]
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 […]
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 […]
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 […]
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 […]
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 […]
Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Wei Gao, , , | Summary: Conventionally, human intuition often defines vision as a modality of passive optical sensing, while active optical sensing is typically regarded as measuring rather than the default modality of vision. However, the situation now changes: sensor technologies and data-driven paradigms […]