mlsanityData to 14 Oct 2026

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

arXiv 2403.00791 ↗First posted 22 Feb 2024cs.CL cs.AI q-bio.BMcited by 21

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Abstract (arXiv)

Language-molecule models have emerged as an exciting direction for molecular discovery and understanding. However, training these models is challenging due to the scarcity of molecule-language pair datasets. At this point, datasets have been released which are 1) small and scraped from existing databases, 2) large but noisy and constructed by performing entity linking on the scientific literature, and 3) built by converting property prediction datasets to natural language using templates. In this document, we detail the textitL+M-24 dataset, which has been created for the Language + Molecules Workshop shared task at ACL 2024. In particular, textitL+M-24 is designed to focus on three key benefits of natural language in molecule design: compositionality, functionality, and abstraction.

Key facts. Cited by 21 papers in the map (data through 14 Oct 2026). Builds on 21 of its 43 references that are in the map. First posted on arXiv 22 Feb 2024.

Builds on

21 of 43 references.

References · 21

  1. 2019HuggingFace's Transformers: State-of-the-art Natural Language Processingcited by 2,218
  2. 2023ChemCrow: Augmenting large-language models with chemistry toolscited by 631
  3. 2018Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Modelscited by 275
  4. 2022Translation between Molecules and Natural Languagecited by 177
  5. 2022Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editingcited by 166
  6. 2022A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Languagecited by 131
  7. 2023MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adaptercited by 128
  8. 2024LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Datasetcited by 128
  9. 2023Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systemscited by 121
  10. 2023BioT5: Enriching Cross-modal Integration in Biology with Chemical Knowledge and Natural Language Associationscited by 100
  11. 2023Unifying Molecular and Textual Representations via Multi-task Language Modellingcited by 93
  12. 2023InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discoverycited by 86
9 more
  1. 2023GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Textcited by 82
  2. 2023MolXPT: Wrapping Molecules with Text for Generative Pre-trainingcited by 81
  3. 2024Developing ChemDFM as a large language foundation model for chemistrycited by 52
  4. 2023MolFM: A Multimodal Molecular Foundation Modelcited by 50
  5. 2023Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Languagecited by 44
  6. 2024ChemReasoner: Heuristic Search over a Large Language Model's Knowledge Space using Quantum-Chemical Feedbackcited by 33
  7. 2023Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Designcited by 17
  8. 2023From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discoverycited by 11
  9. 20233VL: Using Trees to Improve Vision-Language Models' Interpretabilitycited by 7

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 8; 2025: 10; 2026: 3.

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  1. 2024Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generationcited by 25
  2. 2024Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Surveycited by 17
  3. 2024Vector-ICL: In-context Learning with Continuous Vector Representationscited by 13
  4. 2025A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimizationcited by 13
  5. 2024Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversitycited by 9
  6. 2025MolLangBench: A Comprehensive Benchmark for Language-Prompted Molecular Structure Recognition, Editing, and Generationcited by 9
  7. 2025mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Moleculescited by 8
  8. 2025KnowMol: Advancing Molecular Large Language Models with Multi-Level Chemical Knowledgecited by 7
  9. 2024ALMol: Aligned Language-Molecule Translation LLMs through Offline Preference Contrastive Optimisationcited by 3
  10. 2025MolEdit: Knowledge Editing for Multimodal Molecule Language Modelscited by 3
  11. 2025BioMedGPT-Mol: Multi-task Learning for Molecular Understanding and Generationcited by 3
  12. 2024FARM: Enhancing Molecular Representations with Functional Group Awarenesscited by 2
9 more
  1. 2025Improving Large Language Models with Concept-Aware Fine-Tuningcited by 2
  2. 2025Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMscited by 2
  3. 2024Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluationcited by 1
  4. 2025MolGround: A Benchmark for Molecular Groundingcited by 1
  5. 2025RTMol: Rethinking Molecule-text Alignment in a Round-trip Viewcited by 1
  6. 2024Chemical Language Model Linker: blending text and molecules with modular adapterscited by 0
  7. 2026MolLangData: A Large-Scale Dataset for Molecular Structure-Language Description via a Rule-Regularized Methodcited by 0
  8. 2026MMAI Gym for Science: Training Liquid Foundation Models for Drug Discoverycited by 0
  9. 2026TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biologycited by 0