NLPExplorer

LangMol - 2024

Total Papers:- 16

Total Papers accross all years:- 16

Total Citations :- 0

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Mol2Lang-VLM: Vision- and Text-Guided Generative Pre-trained Language Models for Advancing Molecule Captioning through Multimodal Fusion

Duong Tran | Nhat Truong Pham | Nguyen Nguyen | Balachandran Manavalan |

Enhanced BioT5+ for Molecule-Text Translation: A Three-Stage Approach with Data Distillation, Diverse Training, and Voting Ensemble

DNA Language Model and Interpretable Graph Neural Network Identify Genes and Pathways Involved in Rare Diseases

Ali Saadat | Jacques Fellay |

Evaluating Extrapolation Ability of Large Language Model in Chemical Domain

Taehun Cha | Donghun Lee |

ChatMol Copilot: An Agent for Molecular Modeling and Computation Powered by LLMs

Jinyuan Sun | Auston Li | Yifan Deng | Jiabo Li |

Lang2Mol-Diff: A Diffusion-Based Generative Model for Language-to-Molecule Translation Leveraging SELFIES Representation

Nguyen Nguyen | Nhat Truong Pham | Duong Tran | Balachandran Manavalan |

Knowledge Graph Extraction from Total Synthesis Documents

Andres M Bran | Zlatko Jončev | Philippe Schwaller |

Proceedings of the 1st Workshop on Language + Molecules (L+M 2024)

Repurformer: Transformers for Repurposing-Aware Molecule Generation

Changhun Lee | Gyumin Lee |

L+M-24: Building a Dataset for Language+Molecules @ ACL 2024

Carl Edwards | Qingyun Wang | Lawrence Zhao | Heng Ji |

ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisation

Dimitris Gkoumas |

Knowlab’s Submission to L+M Shared Task: All you need is continued pretraining of chemistry texts even for molecule captioning

Yunsoo Kim | Honghan Wu |

Design Proteins Using Large Language Models: Enhancements and Comparative Analyses

SciMind: A Multimodal Mixture-of-Experts Model for Advancing Pharmaceutical Sciences