A Look into Causal Effects under Entangled Treatment in Graphs: Investigating the Impact of Contact on MRSA Infection

no code implementations • 17 Jul 2023 • Jing Ma, Chen Chen, Anil Vullikanti, Ritwick Mishra, Gregory Madden, Daniel Borrajo, Jundong Li

In this paper, we study the problem of causal effect estimation with treatment entangled in a graph.

Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values

1 code implementation • 16 Jun 2023 • Stephanie Schoch, Ritwick Mishra, Yangfeng Ji

Although Shapley values have been shown to be highly effective for identifying harmful training instances, dataset size and model complexity constraints limit the ability to apply Shapley-based data valuation to fine-tuning large pre-trained language models.

Data Valuation Language Modelling +1