LLM.md

LLM

Survey papers

• [arxiv 2023] A Survey of Large Language Models (A good paper to quickly understand the development path of LLMs)
• [arxiv 2024] Empowering Time Series Analysis with Large Language Models: A Survey
• [github] liaoyuhua/LLM4TS: Large Language Models for Time Series. (github.com) https://github.com/xiyuanzh/awesome-llm-time-series
• [arxiv 2024] Large Language Models for Time Series: A Survey | paper
• [arxiv 2024] Retrieval-Augmented Generation for Large Language Models: A Survey

Adapting LLMs for time series

• [ICLR 2024] TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series | OpenReview
• [ICLR 2024] Time-LLM: Time Series Forecasting by Reprogramming Large Language Models | OpenReview | Code
• [Neurips 2023] One Fits All: Power General Time Series Analysis by Pretrained LM

LLMs for health

• [Nature 2023, Google] Large language models encode clinical knowledge [very interesting to see the uncertainty quantification part]
• [NPJ digital medicine 2023, Oxford] A medical multimodal large language model for future pandemics
• [arxiv 2023] Large Language Models are Few-Shot Health Learners
• [arxiv 2023, Dimitris] The first step is the hardest: Pitfalls of representing and tokenizing temporal data for large language models
• [MIDL 2023] Frozen Language Model Helps ECG Zero-Shot Learning | OpenReview
• [ML4H 2023] Zero-Shot ECG Diagnosis with Large Language Models and Retrieval-Augmented Generation (mlr.press)

Biosignal foundation/pre-trained model

• [CHIL 2022] ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission
• [ICLR 2024, Apple] Large-scale training of foundation models for wearable biosignals | OpenReview (Trained from large scale PPG and ECG from Apple watch)
• [arxiv 2023] Scaling Representation Learning from Ubiquitous ECG with State-Space Models
• [npj 2024, Oxford] Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis