VQ-Atom discretizes continuous GNN atom embeddings into chemically meaningful discrete tokens via vector quantization to improve molecular language modeling for downstream chemistry tasks.
Bert: Pre-training of deep bidirectional transformers for language understanding
2 Pith papers cite this work. Polarity classification is still indexing.
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An LLM multi-modal system integrates topic modeling, transformer sentiment, and behavioral features to predict MOOC learner satisfaction more accurately than single-modality baselines.
citing papers explorer
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Atoms as Language: VQ-Atom: Semantic Discretization for Molecular Representation Learning
VQ-Atom discretizes continuous GNN atom embeddings into chemically meaningful discrete tokens via vector quantization to improve molecular language modeling for downstream chemistry tasks.
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Predicting User Satisfaction in Online Education Platforms: A Large Language Model Based Multi-Modal Review Mining Framework
An LLM multi-modal system integrates topic modeling, transformer sentiment, and behavioral features to predict MOOC learner satisfaction more accurately than single-modality baselines.