Spaces:
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# For physics topics, use the specific subtopics, e.g. "Astrophysics" | |
topic: "Computer Science" | |
# An empty list here will include all categories in a topic | |
# Use the natural language names of the topics, found here: https://arxiv.org | |
# Including more categories will result in more calls to the large language model | |
categories: ["Artificial Intelligence", "Computation and Language"] | |
# The email address that the digest will be sent from. must be the address matching | |
# your sendgrid api key. | |
# Leaving this empty will cause the script to use the | |
# FROM_EMAIL environment variable instead | |
from_email: "" | |
# The email address you are going to send the digest to | |
# Leaving this empty will cause the script to use the | |
# TO_EMAIL environment variable instead | |
to_email: "" | |
# Relevance score threshold. abstracts that receive a score less than this from the large language model | |
# will have their papers filtered out. | |
# | |
# Must be within 1-10 | |
threshold: 7 | |
# A natural language statement that the large language model will use to judge which papers are relevant | |
# | |
# For example: | |
# "I am interested in complexity theory papers that establish upper bounds" | |
# "gas chromatography, mass spectrometry" | |
# "making lots of money" | |
# | |
# This can be empty, which just return a full list of papers with no judgement or filtering, | |
# in whatever order arXiv responds with. | |
interest: | | |
1. Large language model pretraining and finetunings | |
2. Multimodal machine learning | |
3. Do not care about specific application, for example, information extraction, summarization, etc. | |
4. Not interested in paper focus on specific languages, e.g., Arabic, Chinese, etc. | |