Results 201 to 210 of about 52,458 (341)

Epistemic closure filters for natural language inference [PDF]

open access: yes
Epistemic closure refers to the assumption that humans are able to recognize what entails or contradicts what they believe and know, or more accurately, that humans’ epistemic states are closed under logical inferences.
Cohen, Michael
core   +1 more source

Natural Language Inference Models with Explanations [PDF]

open access: yes
V posledních letech předtrénované textové klasifikátory založené na architektuře Transformer a doladěné na úlohu Natural Language Inference (NLI) vykazují na řadě NLI datasetů výkonnost na úrovni člověka. Od vydání ChatGPT na konci roku 2022 se využívání
Dmitrii Litvin
core  

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

open access: yesAdvanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka   +5 more
wiley   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Learning Entailment-Based Sentence Embeddings from Natural Language Inference

open access: yes
Large datasets on natural language inference are a potentially valuable resource for inducing semantic representations of natural language sentences.
Henderson, James   +2 more
core  

CAM: A Combined Attention Model for Natural Language Inference [PDF]

open access: yes
Natural Language Inference (NLI) is a fundamen- tal step towards natural language understanding. The task aims to detect whether a premise entails or contradicts a given hypothesis.
Gajbhiye A   +4 more
core  

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Volatility analysis and forecasting of vegetable prices using an ARMA‐GARCH model: An application of the CF filter and seasonal adjustment method to Korean green onions

open access: yesAgribusiness, EarlyView.
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley   +1 more source

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