AI-driven ionic liquid discovery with unified chemical intelligence
cs.AI, cs.CE, cs.LG
Submitted: 2025-11-14
Updated: 2026-09-26
Comments: 25-page main manuscript with 5 figures; Supporting Information included (96 pages, 16 figures; 121 pages total)
Code: https://github.com/lm-sys/FastChat
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
- ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction
- ChemLLM: A Chemical Large Language Model
- Translation between Molecules and Natural Language
- Learning Transferable Visual Models From Natural Language Supervision
- Toolformer: Language Models Can Teach Themselves to Use Tools
- Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis
- MathArena: Evaluating LLMs on Uncontaminated Math Competitions
- MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
- ReAct: Synergizing Reasoning and Acting in Language Models
- Large Language Models are Zero-Shot Reasoners
- The Semantic Scholar Open Data Platform
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
- CoCa: Contrastive Captioners are Image-Text Foundation Models
- BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
- MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
- Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
- LoRA: Low-Rank Adaptation of Large Language Models
- Improved Baselines with Visual Instruction Tuning
- Momentum Contrast for Unsupervised Visual Representation Learning
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