Results 121 to 130 of about 52,458 (341)

Building a Vietnamese Dataset for Natural Language Inference Models. [PDF]

SN Comput Sci, 2022
Nguyen CT, Nguyen DT.
europepmc   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature\n and PRESupposition [PDF]

, 2020
Paloma Jeretič, Alex Warstadt, Suvrat Bhooshan, Adina Williams   +3 more
openalex   +1 more source

ARC-NLP at PAN 2023: Transition-Focused Natural Language Inference for Writing Style Detection [PDF]

, 2023
Izzet Emre Kucukkaya, Ümitcan Şahin, Çağrı Toraman   +2 more
openalex   +1 more source

Full‐Body AI Agent: A Perspective on Multi‐Scale Collaborative AI for Systemic Biology and Precision Medicine

Advanced Science, EarlyView.
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang, Jiajia Liu, Jianguo Wen, Yangyang Luo, Zhiwei Fan, Liren Yang, Xi Hu, Ruihan Luo, Yankai Yu, Sophia Li, Weiling Zhao, Xiaobo Zhou   +11 more
wiley   +1 more source

On the Effective Use of Pretraining for Natural Language Inference

CoRR, 2017
Neural networks have excelled at many NLP tasks, but there remain open questions about the performance of pretrained distributed word representations and their interaction with weight initialization and other hyperparameters. We address these questions empirically using attention-based sequence-to-sequence models for natural language inference (NLI ...
Ignacio Cases, Minh-Thang Luong, Christopher Potts   +2 more
openaire   +2 more sources

Information Retrieval Using Association Lists

Computer Science, 2004
The paper presents the main models of information retrieval in text. The idea of association list and its use for information retrieval is introduced. The paper contains the evaluation results of the algorithms under discussion.
Marek Gajęcki
doaj   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

MENLI: Robust Evaluation Metrics from Natural Language Inference

Transactions of the Association for Computational Linguistics, 2023
Yanran Chen, Steffen Eger
doaj   +1 more source

Grounding Natural Language Inference on Images

, 2018
Grounding Natural Language Inference on Images Hoa Trong VU July 20, 2018 Abstract Despite the surge of research interest in problems involving linguistic and vi- sual information, exploring multimodal data for Natural Language Inference remains ...
Vu Trong, Hoa
core