{"total":20,"rows":[{"id":"2412.14642","title":"Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation","created":"2024-12-19","cited_by_count":25,"area":null},{"id":"2403.01528","title":"Leveraging Biomolecule and Natural Language through Multi-Modal Learning: A Survey","created":"2024-03-03","cited_by_count":17,"area":null},{"id":"2410.05629","title":"Vector-ICL: In-context Learning with Continuous Vector Representations","created":"2024-10-08","cited_by_count":13,"area":null},{"id":"2505.16094","title":"A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization","created":"2025-05-22","cited_by_count":13,"area":null},{"id":"2410.03138","title":"Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity","created":"2024-10-04","cited_by_count":9,"area":null},{"id":"2505.15054","title":"MolLangBench: A Comprehensive Benchmark for Language-Prompted Molecular Structure Recognition, Editing, and Generation","created":"2025-05-21","cited_by_count":9,"area":null},{"id":"2505.12565","title":"mCLM: A Modular Chemical Language Model that Generates Functional and Makeable Molecules","created":"2025-05-18","cited_by_count":8,"area":null},{"id":"2510.19484","title":"KnowMol: Advancing Molecular Large Language Models with Multi-Level Chemical Knowledge","created":"2025-10-22","cited_by_count":7,"area":null},{"id":"2511.12770","title":"MolEdit: Knowledge Editing for Multimodal Molecule Language Models","created":"2025-11-16","cited_by_count":3,"area":null},{"id":"2512.04629","title":"BioMedGPT-Mol: Multi-task Learning for Molecular Understanding and Generation","created":"2025-12-04","cited_by_count":3,"area":null},{"id":"2410.02082","title":"FARM: Enhancing Molecular Representations with Functional Group Awareness","created":"2024-10-02","cited_by_count":2,"area":null},{"id":"2506.07833","title":"Improving Large Language Models with Concept-Aware Fine-Tuning","created":"2025-06-09","cited_by_count":2,"area":null},{"id":"2510.01527","title":"Round-trip Reinforcement Learning: Self-Consistent Training for Better Chemical LLMs","created":"2025-10-01","cited_by_count":2,"area":null},{"id":"2405.13984","title":"Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation","created":"2024-05-22","cited_by_count":1,"area":null},{"id":"2503.23668","title":"MolGround: A Benchmark for Molecular Grounding","created":"2025-03-31","cited_by_count":1,"area":null},{"id":"2511.12135","title":"RTMol: Rethinking Molecule-text Alignment in a Round-trip View","created":"2025-11-15","cited_by_count":1,"area":null},{"id":"2410.20182","title":"Chemical Language Model Linker: blending text and molecules with modular adapters","created":"2024-10-26","cited_by_count":0,"area":null},{"id":"2602.02320","title":"MolLangData: A Large-Scale Dataset for Molecular Structure-Language Description via a Rule-Regularized Method","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2603.03517","title":"MMAI Gym for Science: Training Liquid Foundation Models for Drug Discovery","created":"2026-03-03","cited_by_count":0,"area":null},{"id":"2607.08803","title":"TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology","created":"2026-07-09","cited_by_count":0,"area":null}],"next_cursor":null}