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Papers about scientific hypothesis generation with large language models (LLMs).
Build Multimodal AI Agents with memory, knowledge and tools. Simple, fast and model-agnostic.
Working collection of papers, repos and models of transformer based language models trained or tuned for the Chemical domain, from natural language to chemical modeling and property prediction
A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks
Arc Virtual Cell Atlas
This is the official repository for HypoGeniC (Hypothesis Generation in Context) and HypoRefine, which are automated, data-driven tools that leverage large language models to generate hypothesis fo…
✨✨VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction
Unsupervised text tokenizer for Neural Network-based text generation.
MedRAX: Medical Reasoning Agent for Chest X-ray
Medical o1, Towards medical complex reasoning with LLMs
Integrate the DeepSeek API into popular softwares
Janus-Series: Unified Multimodal Understanding and Generation Models
A bibliography and survey of the papers surrounding o1
CODER: Knowledge infused cross-lingual medical term embedding for term normalization. [JBI, ACL-BioNLP 2022]
Medical Graph RAG: Graph RAG for the Medical Data
Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset (TSAR2022)
Official code for the Paper "RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance"
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
Code for manipulating the structure of UMLS files and converting ontologies or sets of ontologies into a graph structure.
Clinical text summarization by adapting large language models