MolNexTR: A Generalized Deep Learning Model for Molecular Image Recognition
Chen et al.'s dual-stream encoder approach for robust molecular structure recognition from diverse real-world images …...
Chen et al.'s dual-stream encoder approach for robust molecular structure recognition from diverse real-world images …...
Fang et al.'s method for converting molecular structure images from scientific documents into machine-readable formats …...
Lu et al. introduce SpaceFormer, a Transformer that models entire 3D molecular space—not just atoms—for superior …...
Ablation study of neural network components for forecasting, finding gating and attention improve RNNs while recurrence …...
Learn how dataset bias can lead to misleading results in NLP: a sarcasm detection model that actually learned to …
Campos & Ji's method for converting 2D molecular images to SMILES strings using Transformers and SELFIES representation....
Undergraduate thesis exploring representation learning for social media text and developing tools for cross-platform …
Analysis of CoQA, a conversational QA dataset with multi-turn dialogue, coreference resolution, and natural answers for …