Background Reading
Fecho et al. 2023 contains a systematic comparison between Translator and LLMs and a discussion on future applications of LLMs to Translator: https://www.cambridge.org/core/journals/journal-of-clinical-and-translational-science/article/an-approach-for-collaborative-development-of-a-federated-biomedical-knowledge-graphbased-questionanswering-system-questionofthemonth-challenges/22350F7532FB5BF0BFD737895947DCEA#.
The following papers are from Chris Mungall's group:
Joachimiak et al. 2023: https://pubmed.ncbi.nlm.nih.gov/?term=Joachimiak%20MP%5BAuthor%5D
Reese et al. 2023: https://pubmed.ncbi.nlm.nih.gov/37503093/
Caufield et al. 2023: https://arxiv.org/pdf/2304.02711.pdf
Chen et al. 2023 provides a benchmarking study of Chat3.5: https://academic.oup.com/bioinformatics/article/39/9/btad557/7264174.
Soman et al. was recently submitted for publication: https://drive.google.com/file/d/1WYv7y03P5qvkg60Xq-Gd4_m8zCzG0nX5/view?usp=drive_link. Karthik has kindly allowed me to share it.
This is just a really fun article from The New Yorker: https://www.newyorker.com/humor/sketchbook/is-my-toddler-a-stochastic-parrot?utm_sour[%E2%80%A6]37ad283235f64a&esrc=None&mbid=CRMNYR012019.
Background Videos
This YouTube video describes a step-by-step approach for building 5 Transformer LLMs of increasing complexity: https://www.youtube.com/watch?v=s09NPN1BSdE.
Exposures Provider - Translator Y5 LLM Milestone
SA1d. Working with the soon-to-be-formed Translator Generative AI Task Force, develop approaches for leveraging LLMs in support of ICEES+ and ICEES KG KP, focusing initially on approaches for applying LLMs to translate user natural-language questions into ICEES+ multivariate queries and ICEES KG TRAPI queries.
Guangrong G.'s LLM Natural-language query -> TRAPI Repo
Joey R.'s KG Summarization using LLMs