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: 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: Ke Wang | First 5 Authors: , , , , | Summary: While ride-hailing services offer increased travel flexibility and convenience, persistent nighttime safety concerns significantly reduce women’s willingness to use them. Existing research often treats women as a homogeneous group, neglecting the heterogeneity in their decision-making processes. To address this gap, this […]
Kavli Affiliate: Lijing Shao | First 5 Authors: Lijing Shao, Lijing Shao, , , | Summary: Searching for radio pulsars orbiting around the Galactic centre black hole (BH), Sagittarius A$^star$ (Sgr A$^star$), represents a holy grail goal for large-area radio telescopes, in particular for the Square Kilometre Array. Follow-up timing observation of such a PSR-Sgr […]
Kavli Affiliate: Jing Wang | First 5 Authors: Ao Ma, Ao Ma, , , | Summary: Storytelling tasks involving generating consistent subjects have gained significant attention recently. However, existing methods, whether training-free or training-based, continue to face challenges in maintaining subject consistency due to the lack of fine-grained guidance and inter-frame interaction. Additionally, the scarcity […]
Kavli Affiliate: Ke Wang | First 5 Authors: Ryan Wong, Ryan Wong, , , | Summary: From professional research to everyday planning, many tasks are bottlenecked by wide-scale information seeking, which is more repetitive than cognitively complex. With the rapid development of Large Language Models (LLMs), automated search agents powered by LLMs offer a promising […]