Tag: transformer models

A PSO-fused model combining text, speech and video representations reached 94.0% accuracy on 690 labeled television-dialogue utterances in the MUStARD ...

CarBench evaluates 11 neural-surrogate configurations on more than 8,000 high-fidelity car simulations, comparing accuracy, pressure-field fidelity, efficiency, uncertainty and cross-category ...

A transformer-autoencoder method that groups federated clients without labels improved sentiment-classification accuracy across controlled label-skew conditions on Sentiment140 and IMDB.

A context-aware deep-learning model classified rodent sleep stages across unseen animals and retained near-baseline performance after training only on vehicle-control ...

A comparative study finds that a fine-tuned DistilBERT pipeline reliably detects deceptive hotel reviews while a Perceiver-based pipeline collapses toward ...

A new transformer model called LitGene learns gene function by reading the scientific literature and aligning it with Gene Ontology ...

A new expert-validated dataset provides multi-label artifact annotations for over 20,000 dermoscopic images, exposing the visual noise that undermines AI ...

Researchers at BRAC University developed ClusSumm, a framework combining hierarchical clustering with adaptive transformer models that compresses thousands of MOOC ...

A new hybrid framework called LLMTransRec combines transformer sequence modeling with large language model embeddings to improve recommendations across sparse ...

A new survey from the National University of Defense Technology systematically compares distributed parallelism and memory-saving techniques that make large ...