Bi-level Graph Learning Unveils Prognosis-Relevant Tumor Microenvironment Patterns in Breast Multiplexed Digital Pathology

Posted by dbos Hopkins

Kavli Affiliate: Jeremias Sulam | Authors: Zhenzhen Wang, Cesar A. Santa-Maria, Aleksander S. Popel and Jeremias Sulam | Summary: The tumor microenvironment is widely recognized for its central role in driving cancer progression and influencing prognostic outcomes. There have been increasing efforts dedicated to characterizing this complex and heterogeneous environment, including developing potential prognostic tools […]


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Connecting Lyman-$α$ and ionizing photon escape in the Sunburst Arc

Posted by dbos Chicago

Kavli Affiliate: Michael D. Gladders | First 5 Authors: M. Riley Owens, Keunho J. Kim, Matthew B. Bayliss, T. Emil Rivera-Thorsen, Keren Sharon | Summary: We investigate the Lyman-$alpha$ (Ly$alpha$) and Lyman continuum (LyC) properties of the Sunburst Arc, a $z=2.37$ gravitationally lensed galaxy with a multiply-imaged, compact region leaking LyC and a triple-peaked Ly$alpha$ […]


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A long-duration superflare on the K giant HD 251108

Posted by klaurent MIT

Kavli Affiliate: Michael Fausnaugh | Summary:Many giant stars are magnetically active, which causes rotational variability, chromospheric emission lines, and X-ray emission. Large outbursts in these emission features can set limits on the magnetic field strength and thus constrain the mechanism of the underlying dynamo. HD~251108 is a Li-rich active K-type giant. We find a rotational […]


Continue.. A long-duration superflare on the K giant HD 251108

Solving the Phase Ordering Problem $ne$ Generating the Globally Optimal Code

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Yu Wang, Hongyu Chen, Ke Wang, , | Summary: Phase ordering problem has been a long-standing challenge in compiler optimizations. Over the past four decades, a significant amount of effort has been devoted, and indeed, substantial progress has been made. However, in this paper, we raise questions […]


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Beyond the Phase Ordering Problem: Finding the Globally Optimal Code w.r.t. Optimization Phases

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Yu Wang, Hongyu Chen, Ke Wang, , | Summary: In this paper, we propose a new concept called textit{semantically equivalence} wrt textit{optimization phases} textit{(sep)}, which defines the set of programs a compiler considers semantically equivalent to the input using a set of optimization phases. We show both […]


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How to evaluate your medical time series classification?

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihe Wang, Taida Li, Yujun Yan, Wenzhan Song, Xiang Zhang | Summary: Medical time series (MedTS) play a critical role in many healthcare applications, such as vital sign monitoring and the diagnosis of brain and heart diseases. However, the existence of subject-specific features poses unique challenges in […]


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Repurposing Foundation Model for Generalizable Medical Time Series Classification

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Nan Huang, Haishuai Wang, Zihuai He, Marinka Zitnik, Xiang Zhang | Summary: Medical time series (MedTS) classification is critical for a wide range of healthcare applications such as Alzheimer’s Disease diagnosis. However, its real-world deployment is severely challenged by poor generalizability due to inter- and intra-dataset heterogeneity […]


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GPT-4o as the Gold Standard: A Scalable and General Purpose Approach to Filter Language Model Pretraining Data

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Jifan Zhang, Ziyue Luo, Jia Liu, Ness Shroff, Robert Nowak | Summary: Large language models require vast amounts of high-quality training data, but effective filtering of web-scale datasets remains a significant challenge. This paper demonstrates that GPT-4o is remarkably effective at identifying high-quality training data, but its […]


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Precision Knowledge Editing: Enhancing Safety in Large Language Models

Posted by dbos Peking

Kavli Affiliate: Zhuo Li | First 5 Authors: Xuying Li, Zhuo Li, Yuji Kosuga, Yasuhiro Yoshida, Victor Bian | Summary: Large language models (LLMs) have demonstrated remarkable capabilities, but they also pose risks related to the generation of toxic or harmful content. This work introduces Precision Knowledge Editing (PKE), an advanced technique that builds upon […]


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Strongly Enhanced Electronic Bandstructure Renormalization by Light in Nanoscale Strained Regions of Monolayer MoS$_2$/Au(111) Heterostructures

Posted by klaurent Caltech

Kavli Affiliate: N. C. Yeh |Summary:Understanding and controlling the photoexcited quasiparticle (QP) dynamics in monolayer transition metal dichalcogenides lays the foundation for exploring the strongly interacting, non-equilibrium 2D quasiparticle and polaritonic states in these quantum materials and for harnessing the properties emerging from these states for optoelectronic applications. In this study, scanning tunneling microscopy/spectroscopy with […]


Continue.. Strongly Enhanced Electronic Bandstructure Renormalization by Light in Nanoscale Strained Regions of Monolayer MoS$_2$/Au(111) Heterostructures