Papers by Nicolas Gutowski
Byte Pair Encoding for Symbolic Music (2023.emnlp-main)
Copied to clipboard
| Challenge: | Recent research has focused on reducing the overall sequence length by merging embeddings or combining tokens. |
| Approach: | They propose to convert music into a sequence of discrete tokens using Byte Pair Encoding . they propose to combine tokens with embeddings to improve the results . |
| Outcome: | The proposed method reduces the sequence length while increasing the vocabulary size. |
Rethinking NLP for Chemistry: A Critical Look at the USPTO Benchmark (2025.findings-emnlp)
Copied to clipboard
| Challenge: | Natural Language Processing (NLP) has revolutionized computer-aided synthesis planning by reframing chemical synthesis prediction as a sequence-to-sequence modeling problem over molecular string representations like SMILES. |
| Approach: | They propose to reframe chemical synthesis prediction as a sequence-to-sequence modeling problem over molecular string representations like SMILES. |
| Outcome: | The proposed framework yields impressive benchmark scores on the USPTO dataset, a large corpus of reactions extracted from US patents. |