Results 201 to 210 of about 52,458 (341)
Epistemic closure filters for natural language inference [PDF]
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
The Insight-Inference Loop: Efficient Text Classification via Natural Language Inference and Threshold-Tuning. [PDF]
Chausson S +4 more
europepmc +1 more source
Natural Language Inference Models with Explanations [PDF]
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
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
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
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]
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 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
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

