ChemMLLM: Chemical Multimodal Large Language Model
cs.LG
Submitted: 2025-05-22
Updated: 2026-09-25
Code: https://github.com/bbsbz/ChemMLLM
Terminology
Sources
- Flamingo: a Visual Language Model for Few-Shot Learning
- OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
- Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
- InternLM2 Technical Report
- InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery
- InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
- Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
- MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
- Translation between Molecules and Natural Language
- Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
- Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
- Learning Multimodal Graph-to-Graph Translation for Molecular Optimization
- A Study of BFLOAT16 for Deep Learning Training
- Adam: A Method for Stochastic Optimization
- BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
- Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining
- Decoupled Weight Decay Regularization
- Neural Machine Translation of Rare Words with Subword Units
- Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
- Chameleon: Mixed-Modal Early-Fusion Foundation Models
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