First principles and scanning tunneling spectroscopical evidences for thermodynamically stable “on-top” sulfur divacancy in monolayer WS$_2$

Posted by klaurent Berkeley

Kavli Affiliate: Archana Raja| Summary:Chalcogen vacancies in monolayer transition metal dichalcogenides (TMDs), such as WS$_2$, play a crucial role in various applications ranging from optoelectronics and catalysis to quantum information science (QIS), making their identification and control essential. This study focuses on WS$_2$ single vacancy and vacancy pairs. Using first principles computations, we investigate their […]


Continue.. First principles and scanning tunneling spectroscopical evidences for thermodynamically stable “on-top” sulfur divacancy in monolayer WS$_2$

Revealing Adversarial Smart Contracts through Semantic Interpretation and Uncertainty Estimation

Posted by klaurent UCAS

Kavli Affiliate: Gang Su | First 5 Authors: Yating Liu, Yating Liu, , , | Summary: Adversarial smart contracts, mostly on EVM-compatible chains like Ethereum and BSC, are deployed as EVM bytecode to exploit vulnerable smart contracts for financial gain. Detecting such malicious contracts at the time of deployment is an important proactive strategy to […]


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Consistency-Aware Parameter-Preserving Knowledge Editing Framework for Multi-Hop Question Answering

Posted by klaurent UCAS

Kavli Affiliate: Long Zhang | First 5 Authors: Lingwen Deng, Lingwen Deng, , , | Summary: Parameter-Preserving Knowledge Editing (PPKE) enables updating models with new or corrected information without retraining or parameter adjustment. Recent PPKE approaches based on knowledge graphs (KG) to extend knowledge editing (KE) capabilities to multi-hop question answering (MHQA). However, these methods […]


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Assessing the operating characteristics of an ion-milled phonon-mediated quantum parity detector

Posted by klaurent Caltech

Kavli Affiliate: Sunil Golwala | Summary:Phonon sensitive superconducting qubits promise to provide sub-eV energy deposit thresholds, useful for future rare-event experiments looking for interactions from dark matter and neutrinos. We detail here engineering results from a Quantum Parity Detector (QPDs), one of a class of phonon sensitive qubits, and, as a first measurement, show that […]


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A Scalable Lift-and-Project Differentiable Approach For the Maximum Cut Problem

Posted by klaurent Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Ismail Alkhouri, Ismail Alkhouri, , , | Summary: We propose a scalable framework for solving the Maximum Cut (MaxCut) problem in large graphs using projected gradient ascent on quadratic objectives. Notably, while our approach is differentiable and leverages GPUs for gradient-based optimization, it is not a machine […]


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TsqLoRA: Towards Sensitivity and Quality Low-Rank Adaptation for Efficient Fine-Tuning

Posted by klaurent UCAS

Kavli Affiliate: Long Zhang | First 5 Authors: Yu Chen, Yu Chen, , , | Summary: Fine-tuning large pre-trained models for downstream tasks has become a fundamental approach in natural language processing. Fully fine-tuning all model parameters is computationally expensive and memory-intensive, especially in resource-constrained environments. Existing parameter-efficient fine-tuning methods reduce the number of trainable […]


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Impact of Nitrogen and Oxygen Interstitials on Niobium SRF Cavity Performance

Posted by klaurent Tokyo

Kavli Affiliate: Young-kee Kim | Summary:Superconducting radiofrequency (SRF) cavities are the leading technology for highly efficient particle acceleration, and their performance can be significantly enhanced through the controlled introduction of interstitial impurities into bulk niobium. Nitrogen doping has demonstrated a substantial reduction in surface resistance, which improves the quality factor of the cavities. More recently, […]


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Impact of Nitrogen and Oxygen Interstitials on Niobium SRF Cavity Performance

Posted by klaurent Tokyo

Kavli Affiliate: Young-kee Kim| First 5 Authors: Hannah Hu, Hannah Hu, , , | Summary:Superconducting radio-frequency (SRF) cavities are the leading technology for highly efficient particle acceleration, and their performance can be significantly enhanced through the controlled introduction of interstitial impurities into bulk niobium. Nitrogen doping has demonstrated a substantial reduction in surface resistance losses, […]


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CPCLDETECTOR: Knowledge Enhancement and Alignment Selection for Chinese Patronizing and Condescending Language Detection

Posted by klaurent UCAS

Kavli Affiliate: Long Zhang | First 5 Authors: Jiaxun Yang, Jiaxun Yang, , , | Summary: Chinese Patronizing and Condescending Language (CPCL) is an implicitly discriminatory toxic speech targeting vulnerable groups on Chinese video platforms. The existing dataset lacks user comments, which are a direct reflection of video content. This undermines the model’s understanding of […]


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Impact of Task Similarity and Training Regimes on Cognitive Transfer and Interference

Posted by dbos Columbia

Kavli Affiliate: Stefano Fusi | Authors: Nicholas Menghi, Simone Vigano’, William Jeffrey Johnston, Salma Elnagar, Stefano Fusi and Christian F Doeller | Summary: Learning depends not only on the content of what we learn, but also on how we learn and on how experiences are structured over time. To investigate how task similarity and training […]


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