Results 41 to 50 of about 2,976 (263)

Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers

CoRR
Fact verification is essential for ensuring the reliability of LLM applications. In this study, we evaluate 12 pre-trained LLMs and one specialized fact-verifier, including frontier LLMs and open-weight reasoning LLMs, using a collection of examples from 14 fact-checking benchmarks.
Wooseok Seo, Seungju Han 0002, Jaehun Jung, Benjamin Newman, Seungwon Lim, Seungbeen Lee, Ximing Lu, Ye Jin Choi 0001, Youngjae Yu   +8 more
openaire   +2 more sources

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

GHEFL: Grouping Based on Homomorphic Encryption Validates Federated Learning

Future Internet
Federated learning is a powerful tool for securing participants’ private data due to its ability to make data “available but not visible”. In recent years, federated learning has been enhanced by the emergence of multi-weight aggregation protocols, which
Yulin Kang, Wuzheng Tan, Linlin Fan, Yinuo Chen, Xinbin Lai, Jian Weng   +5 more
doaj   +1 more source

PVPBC: Privacy and Verifiability Preserving E-Voting Based on Permissioned Blockchain

Future Internet, 2023
Privacy and verifiability are crucial security requirements in e-voting systems and combining them is considered to be a challenge given that they seem to be contradictory.
Muntadher Sallal, Ruairí de Fréin, Ali Malik   +2 more
doaj   +1 more source

VeriFi: Towards Verifiable Federated Unlearning

IEEE Transactions on Dependable and Secure Computing
Federated learning (FL) is a collaborative learning paradigm where participants jointly train a powerful model without sharing their private data. One desirable property for FL is the implementation of the right to be forgotten (RTBF), i.e., a leaving participant has the right to request to delete its private data from the global model.
Xiangshan Gao, Xingjun Ma, Jingyi Wang 0004, Youcheng Sun, Bo Li 0026, Shouling Ji, Peng Cheng 0001, Jiming Chen 0001   +7 more
openaire   +2 more sources

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

A Compact Hollow Fiber Electrode Assembly Architecture for Continuous Electrochemical Marine Carbon Dioxide Removal

Advanced Energy Materials, EarlyView.
A coaxial, membrane‐integrated hollow fiber electrode assembly (HFEA) is developed for continuous marine carbon mineralization. By utilizing a sub‐millimeter inter‐electrode gap, the HFEA minimizes Ohmic losses, achieving 50% energy reduction and over 85% DIC removal.
Inhwan Park, Young Hun Lee, Jung Hun Lee, Seung‐Jeong Oh, T. Alan Hatton, Dong‐Yeun Koh   +5 more
wiley   +1 more source

A Publicly Verifiable E-Voting System Based on Biometrics

Cryptography, 2023
Voters use traditional paper ballots, a method limited by the factors of time and space, to ensure their voting rights are exercised; this method requires a lot of manpower and resources. Duplicate voting problems may also occur, meaning the transparency
Jinhui Liu, Tianyi Han, Maolin Tan, Bo Tang, Wei Hu, Yong Yu   +5 more
doaj   +1 more source

Consumer Acceptance of New Sustainable Food Technologies: Upcycling Technology, Biostimulants, and Artificial Intelligence

Agribusiness, EarlyView.
ABSTRACT Food systems have a significant impact on environmental sustainability, underscoring the need for innovative technologies to support more sustainable agricultural methods. However, the adoption of these technologies hinges on consumer acceptance, making the analysis of consumer perceptions essential.
Greta Castellini, Guendalina Graffigna
wiley   +1 more source

Is There a Market for Organic Milk in Serbia? Insights From Integrated Choice and Latent Variable Model

Agribusiness, EarlyView.
ABSTRACT Past growth in the global organic market has been concentrated in high‐income countries, while in middle‐income countries such as Serbia the organic market remains nascent and characterized by a sparse assortment of organic products, high retail premia and limited evidence on consumer preferences and their drivers.
Milan Tatic, Sanja Dzever, Bojan Matkovski, Danilo Djokic   +3 more
wiley   +1 more source