Results 61 to 70 of about 74,248 (253)
Jurnal Kedokteran Hewan, 2015 Pada penelitian ini dilakukan identifikasi virus avian influenza (AI) subtipe H5N1 pada unggas dan lingkungan pasar untuk mengetahui peran pasar sebagai sumber penularan virus.
Atik Ratnawati, NLP Indi Dharmayanti
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A collection of Mansi texts for use in NLP
, 2021 This is a collection of Mansi (ма̄ньщи ла̄тыӈ) texts for use in ...
Horváth, Csilla, Hill, Nathan W.
core +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
IEEE AccessMultiple-choice benchmarks are widely used to assess LLMs, yet their accuracy scores often conflate memorization—understood as pattern-based recall—with genuine reasoning, that is, inference beyond surface pattern transfer, especially when ...
Eva Sanchez Salido +2 more
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NLP-ADBench: NLP Anomaly Detection Benchmark
Findings of the Association for Computational Linguistics: EMNLP 2025Anomaly detection (AD) is an important machine learning task with applications in fraud detection, content moderation, and user behavior analysis. However, AD is relatively understudied in a natural language processing (NLP) context, limiting its effectiveness in detecting harmful content, phishing attempts, and spam reviews.
Yuangang Li 0002 +6 more
openaire +4 more sources
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2022 The paper presents the methods of development and the results of research on the effectiveness of the seq2seq neural network architecture using Visual Attention mechanism to solve the im2latex problem.
P. A. Vyaznikov, I. D. Kotilevets
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Rationalization for explainable NLP: a survey
Frontiers in Artificial Intelligence, 2023 Recent advances in deep learning have improved the performance of many Natural Language Processing (NLP) tasks such as translation, question-answering, and text classification. However, this improvement comes at the expense of model explainability. Black-box models make it difficult to understand the internals of a system and the process it takes to ...
Sai Gurrapu +5 more
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Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Comparative Analysis of Long Short-Term Memory Architecture for Text Classification
Ilkom Jurnal Ilmiah, 2023 Text classification which is a part of NLP is a grouping of objects in the form of text based on certain characteristics that show similarities between one document and another. One of methods used in text classification is LSTM.
Moh Fajar Abdillah, Kusnawi Kusnawi
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