{"total":41,"rows":[{"id":"2502.10708","title":"Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey","created":"2025-02-15","cited_by_count":51,"area":null},{"id":"2502.17504","title":"Protein Large Language Models: A Comprehensive Survey","created":"2025-02-21","cited_by_count":18,"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":"2406.13193","title":"PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes","created":"2024-06-19","cited_by_count":14,"area":null},{"id":"2411.06518","title":"Causal Representation Learning from Multimodal Biomedical Observations","created":"2024-11-10","cited_by_count":13,"area":null},{"id":"2406.09841","title":"Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge","created":"2024-06-14","cited_by_count":11,"area":null},{"id":"2409.06080","title":"Regression with Large Language Models for Materials and Molecular Property Prediction","created":"2024-09-09","cited_by_count":11,"area":null},{"id":"2409.09825","title":"GP-GPT: Large Language Model for Gene-Phenotype Mapping","created":"2024-09-15","cited_by_count":11,"area":null},{"id":"2410.07919","title":"Advancing biomolecular understanding and design following human instructions","created":"2024-10-10","cited_by_count":10,"area":null},{"id":"2406.05797","title":"3D-MolT5: Leveraging Discrete Structural Information for Molecule-Text Modeling","created":"2024-06-09","cited_by_count":9,"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":"2412.11618","title":"EvoLlama: Enhancing LLMs' Understanding of Proteins via Multimodal Structure and Sequence Representations","created":"2024-12-16","cited_by_count":9,"area":null},{"id":"2505.02639","title":"Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning","created":"2025-05-05","cited_by_count":9,"area":null},{"id":"2501.15415","title":"OCSU: Optical Chemical Structure Understanding for Molecule-centric Scientific Discovery","created":"2025-01-26","cited_by_count":8,"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":"2509.07983","title":"Steering Protein Language Models","created":"2025-07-01","cited_by_count":7,"area":null},{"id":"2501.10282","title":"Computational Protein Science in the Era of Large Language Models (LLMs)","created":"2025-01-17","cited_by_count":6,"area":null},{"id":"2502.02810","title":"Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization","created":"2025-02-05","cited_by_count":6,"area":null},{"id":"2406.06777","title":"MolX: Enhancing Large Language Models for Molecular Understanding With A Multi-Modal Extension","created":"2024-06-10","cited_by_count":5,"area":null},{"id":"2410.03553","title":"Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs","created":"2024-10-04","cited_by_count":4,"area":null},{"id":"2410.22367","title":"MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language","created":"2024-10-28","cited_by_count":4,"area":null},{"id":"2506.21028","title":"TRIDENT: Tri-Modal Molecular Representation Learning with Taxonomic Annotations and Local Correspondence","created":"2025-06-26","cited_by_count":3,"area":null},{"id":"2404.09606","title":"A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions","created":"2024-04-15","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":"2510.26157","title":"Bridging the Gap Between Molecule and Textual Descriptions via Substructure-aware Alignment","created":"2025-10-30","cited_by_count":2,"area":null},{"id":"2410.02023","title":"DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning","created":"2024-10-02","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":"2602.02742","title":"Entropy-Guided Dynamic Tokens for Graph-LLM Alignment in Molecular Understanding","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2407.19073","title":"On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction","created":"2024-07-15","cited_by_count":0,"area":null},{"id":"2502.06634","title":"Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language","created":"2025-02-10","cited_by_count":0,"area":null},{"id":"2503.21788","title":"PharMolixFM: All-Atom Foundation Models for Molecular Modeling and Generation","created":"2025-03-12","cited_by_count":0,"area":null},{"id":"2507.12574","title":"Assay2Mol: large language model-based drug design using BioAssay context","created":"2025-07-16","cited_by_count":0,"area":null},{"id":"2512.04738","title":"OsmT: Bridging OpenStreetMap Queries and Natural Language with Open-source Tag-aware Language Models","created":"2025-12-04","cited_by_count":0,"area":null},{"id":"2603.11924","title":"Chem4DLLM: 4D Multimodal LLMs for Chemical Dynamics Understanding","created":"2026-03-12","cited_by_count":0,"area":null},{"id":"2603.12885","title":"Enhanced Drug-drug Interaction Prediction Using Adaptive Knowledge Integration","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2604.03361","title":"The limits of bio-molecular modeling with large language models : a cross-scale evaluation","created":"2026-04-03","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},{"id":"2607.16038","title":"SciForge: An AI-Native, Multimodal Workbench for Scientific Discovery","created":"2026-07-17","cited_by_count":0,"area":null},{"id":"2607.29479","title":"MolGVR: A Chemistry-Grounded Framework for Text-to-Molecule Generation","created":"2026-07-31","cited_by_count":0,"area":null},{"id":"2608.16005","title":"Retrieval-guided Twin Fusion with Similarity-aware Contrast for Molecule-Text Alignment","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.23073","title":"MolSC: Leveraging Substituent Contributions to Enhance Fine-grained Molecular Understanding in LLMs","created":"2026-09-19","cited_by_count":0,"area":null}],"next_cursor":null}