ProDehaze: Prompting Diffusion Models Toward Faithful Image Dehazing

Kavli Affiliate: Jing Wang | First 5 Authors: Tianwen Zhou, Jing Wang, Songtao Wu, Kuanhong Xu, | Summary: Recent approaches using large-scale pretrained diffusion models for image dehazing improve perceptual quality but often suffer from hallucination issues, producing unfaithful dehazed image to the original one. To mitigate this, we propose ProDehaze, a framework that employs […]


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Subaru Hyper-Supreme Cam observations of IC 1396: Source catalogue, member population, and sub-clusters of the complex

Kavli Affiliate: Gregory J. Herczeg | First 5 Authors: Swagat R Das, Saumya Gupta, Jessy Jose, Manash Samal, Gregory J. Herczeg | Summary: To identify member populations of IC 1396, we employ the random forest (RF) classifier of machine learning technique. Random forest classifier is an ensemble of individual decision trees suitable for large, high-dimensional […]


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Unveiling the sea: universality of the transverse momentum dependent quark distributions at small $x$

Kavli Affiliate: Feng Yuan | First 5 Authors: Paul Caucal, Marcos Guerrero Morales, Edmond Iancu, Farid Salazar, Feng Yuan | Summary: Within the Colour Glass Condensate effective theory, we demonstrate that back-to-back dijet correlations in dilute-dense collisions involving a small-$x$ quark from the nuclear target can be factorised in terms of universal transverse momentum dependent […]


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Deep Contrastive Unlearning for Language Models

Kavli Affiliate: Ke Wang | First 5 Authors: Estrid He, Tabinda Sarwar, Ibrahim Khalil, Xun Yi, Ke Wang | Summary: The past a few years have witnessed the great success of large language models, demonstrating powerful capabilities in comprehending textual data and generating human-like languages. Large language models achieve success by being trained on vast […]


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GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Kavli Affiliate: Jing Wang | First 5 Authors: NVIDIA, :, Johan Bjorck, Fernando CastaƱeda, Nikita Cherniadev | Summary: General-purpose robots need a versatile body and an intelligent mind. Recent advancements in humanoid robots have shown great promise as a hardware platform for building generalist autonomy in the human world. A robot foundation model, trained on […]


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Multi-wavelength Constraints on Dust Dynamics and Size Evolution in Protoplanetary Disk Rings. I. Method

Kavli Affiliate: Ruobing Dong | First 5 Authors: Linhan Yang, Ya-Ping Li, Ruobing Dong, Kiyoaki Doi, Hauyu Baobab Liu | Summary: Observations with the Atacama Large Millimeter/submillimeter Array (ALMA) and the Jansky Very Large Array (JVLA) have revealed many dust rings in protoplanetary disks, often interpreted as dust traps at gas pressure bumps. Previous studies […]


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A Sample of Low-mass AGNs Extended to z $approx$ 0.6

Kavli Affiliate: Luis C. Ho | First 5 Authors: Wen-Juan Liu, Luis C. Ho, Xiao-Bo Dong, Su Yao, Paulina Lira | Summary: We present a catalog of 927 low-mass active galactic nuclei (AGNs) with black hole mass of $M_{BH}leqslant2times10^{6} M_{odot}$ characterized by broad H$alpha$ or H$beta$ emission lines,uniformly selected from the Seventeenth Data Release (DR17) […]


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The Science of the Einstein Telescope

Kavli Affiliate: Lijing Shao | First 5 Authors: Adrian Abac, Raul Abramo, Simone Albanesi, Angelica Albertini, Alessandro Agapito | Summary: Einstein Telescope (ET) is the European project for a gravitational-wave (GW) observatory of third-generation. In this paper we present a comprehensive discussion of its science objectives, providing state-of-the-art predictions for the capabilities of ET in […]


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Exploring the Potential of Large Multimodal Models as Effective Alternatives for Pronunciation Assessment

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Lei He, Kun Liu, Yan Deng, Wenning Wei | Summary: Large Multimodal Models (LMMs) have demonstrated exceptional performance across a wide range of domains. This paper explores their potential in pronunciation assessment tasks, with a particular focus on evaluating the capabilities of the Generative Pre-trained […]


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The Origin of the Gas and Its Low Star Formation Efficiency in Quiescent Galaxies

Kavli Affiliate: Luis C. Ho | First 5 Authors: Yang A. Li, Luis C. Ho, Jinyi Shangguan, Zhao-Yu Li, Yingjie Peng | Summary: Quiescent galaxies (QGs) typically have little cold gas to form stars. The discovery of gas-rich QGs challenges our conventional understanding of the evolutionary paths of galaxies. We take advantage of a new […]


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