4 citations · 9 across the 9 of their papers we have counts for
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cs.LG2024★ 2 cited
Learning Identifiable Factorized Causal Representations of Cellular Responses
Haiyi Mao, Romain Lopez, Kai Liu +4
The study of cells and their responses to genetic or chemical perturbations promises to accelerate the discovery of therapeutic targets. However, designing adequate and insightful…
cs.IR2024★ 1 cited
Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
Ting-Ji Huang, Jia-Qi Yang, Chunxu Shen +3
Characterizing users and items through vector representations is crucial for various tasks in recommender systems. Recent approaches attempt to apply Large Language Models (LLMs) i…