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List of people with great achievements in Computer Science
The latest scraper PR has implementation to gather publications data for certain author in ACM Fellows and Turings
#14
references_search
under paper_search.py
has basic implementation for getting references/citations using sequential batch requests. So, the task is to improve and test this functionality to be more accurate, fast and consistent + testing with some outputs.
First step to build a RAG system from ACM fellows and turings data for Question and Answering using LLM model.
We want a backend system for applying embedding and do vector search (for information retrieval) across these publications data and try to analyze the retrieval score.
It would be nice to add mappings to:
For Google Scholar profiles, here's a good start: https://lintool.github.io/bigcows/index-stratosphere.html
Note that this only needs to be done once... I bet we might even be able to coax ChatGPT into automating it...
https://github.com/lintool/art-science-empirical-cs-2023f/blob/main/project-vis.md
Visualizing ACM fellows using different embeddings + context for exploratory data analysis
Current script dblp_scraper.py
only support for one author input per execution. We want to refactor this so it can automate the scraper for entire authors in acm_fellows.csv
and acm_turings.csv
.
Things need to be considered:
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