Results 31 to 40 of about 51,982 (249)

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

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

On Measuring Large Language Models Performance with Inferential Statistics

Information
Measuring the reliability of performance evaluations is particularly important when we evaluate non-deterministic models. This is the case of using large language models (LLMs) in classification tasks, where different runs generate different outputs ...
Jesús M. Fraile-Hernández, Anselmo Peñas   +1 more
doaj   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

On the Limits of LLM Reasoning: Evidence From Contamination, Translation, and Answer Modification in Multiple-Choice Benchmarks

IEEE Access
Multiple-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, Julio Gonzalo, Guillermo Marco   +2 more
doaj   +1 more source

CELLama: Foundation Model for Single Cell and Spatial Transcriptomics by Cell Embedding Leveraging Language Model Abilities

Advanced Science, EarlyView.
CELLama is created, a framework that harnesses language models to convert cellular data into “sentences” that represent gene expression and metadata, enabling a universal embedding of cells. Unlike most single‐cell foundation models, CELLama supports scalable analysis and offers flexible applications including spatial transcriptomics.
Jeongbin Park, Sumin Kim, Jiwon Kim, Dongjoo Lee, Sungwoo Bae, Haenara Shin, Daeseung Lee, Hongyoon Choi   +7 more
wiley   +1 more source

Sentiment Analysis of the Top 5 E-commerce Platforms in Indonesia using Text Mining and Natural Language Processing (NLP)

Journal of Applied Informatics and Computing, 2023
This research attempts to depict a sentiment comparison of the top 5 E-commerce platforms in Indonesia by gathering the emotional tone behind sentence contents related to customer sentiments, customer experiences, and the brand reputation of E-commerce ...
R. A. E. Virgana Targa Sapanji, Dani Hamdani, Parlindungan Harahap   +2 more
doaj   +1 more source

MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts

Advanced Science, EarlyView.
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang, Yuli Zhang, Zixin Kang, Jiayun Xiong, Ronghua Yang, Kang Ning   +5 more
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
doaj   +1 more source

Carbene–Metal–Amide Materials Design: Tailoring π‐Extended Amides for High‐Performance Organic Light‐Emitting Diodes

Advanced Science, EarlyView.
Sky‐blue and green thermally activated delayed fluorescent emitters, carbene–gold–amides (CMA), possess near unity photoluminescent quantum yields and high radiative rates up to 2.1 × 106 s−1. Organic light‐emitting diodes (OLED) emit sky‐blue electroluminescence with efficiency over 20%, including host‐free OLED architecture, with operating stability ...
Alexander C. Brannan, Jeoungmin Ji, Nguyen Le Phuoc, Donggyun Lee, Junho Kim, Mikko Linnolahti, Seunghyup Yoo, Alexander S. Romanov   +7 more
wiley   +1 more source