SDDBench: A Benchmark for Synthesizable Drug Design.
CoRR, 2024
Beyond Major Product Prediction: Reproducing Reaction Mechanisms with Machine Learning Models Trained on a Large-Scale Mechanistic Dataset.
CoRR, 2024
RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing.
J. Chem. Inf. Model., July, 2023
MolScribe: Robust Molecular Structure Recognition with Image-to-Graph Generation.
J. Chem. Inf. Model., April, 2023
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning.
Proceedings of the International Conference on Machine Learning, 2023
Predictive Chemistry Augmented with Text Retrieval.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Permutation Invariant Graph-to-Sequence Model for Template-Free Retrosynthesis and Reaction Prediction.
J. Chem. Inf. Model., 2022
Improving the performance of models for one-step retrosynthesis through re-ranking.
J. Cheminformatics, 2022
Robust Molecular Image Recognition: A Graph Generation Approach.
CoRR, 2022
Don't Change Me! User-Controllable Selective Paraphrase Generation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
To Paraphrase or Not To Paraphrase: User-Controllable Selective Paraphrase Generation.
CoRR, 2020
Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents.
CoRR, 2020
Approximate Nearest Neighbor Search and Lightweight Dense Vector Reranking in Multi-Stage Retrieval Architectures.
Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020