activity
20152023
most citedCausal Reasoning and Large Language Models: Opening a New Frontier for Causality

93 citations · 364 across the 27 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CY2023★ 1 cited

Food Choice Mimicry on a Large University Campus

Kristina Gligoric, Arnaud Chiolero, Emre Kıcıman +3

Social influence is a strong determinant of food consumption, which in turn influences health. Although consistent observations have been made on the role of social factors in driv…

cs.LG2023

Knowledge Guided Representation Learning and Causal Structure Learning in Soil Science

Somya Sharma, Swati Sharma, Licheng Liu +6

An improved understanding of soil can enable more sustainable land-use practices. Nevertheless, soil is called a complex, living medium due to the complex interaction of different…

stat.ME2023★ 10 cited

A Causal Roadmap for Generating High-Quality Real-World Evidence

Lauren E Dang, Susan Gruber, Hana Lee +23

Increasing emphasis on the use of real-world evidence (RWE) to support clinical policy and regulatory decision-making has led to a proliferation of guidance, advice, and frameworks…

cs.AI2023★ 93 cited

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

Emre Kıcıman, Robert Ness, Amit Sharma +1

The causal capabilities of large language models (LLMs) are a matter of significant debate, with critical implications for the use of LLMs in societally impactful domains such as m…

stat.ML2023★ 1 cited

Counterfactual (Non-)identifiability of Learned Structural Causal Models

Arash Nasr-Esfahany, Emre Kiciman

Recent advances in probabilistic generative modeling have motivated learning Structural Causal Models (SCM) from observational datasets using deep conditional generative models, al…