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Found 5 papers, 1 papers with code
Causal Inference Using LLM-Guided Discovery
At the core of causal inference lies the challenge of determining reliable causal graphs solely based on observational data.
On Evaluating and Mitigating Gender Biases in Multilingual Settings
While understanding and removing gender biases in language models has been a long-standing problem in Natural Language Processing, prior research work has primarily been limited to English.
Vaccination Worldwide: Strategies, Distribution and Challenges
It is a bane of the \"uber connected world that we live in that this virus has affected almost all countries and caused mortality and economic upheaval at a scale whose effects are going to be felt for generations to come.
Mining Trends of COVID-19 Vaccine Beliefs on Twitter with Lexical Embeddings
We also observed a significant change in the linear trends of categories like hesitation and contentment before and after approval of vaccines.
VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning
We approach this problem by proposing a novel pipeline VacSIM that dovetails Deep Reinforcement Learning models into a Contextual Bandits approach for optimizing the distribution of COVID-19 vaccine.
