14 citations · 16 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 14 cited
Understanding Causality with Large Language Models: Feasibility and Opportunities
Cheng Zhang, Stefan Bauer, Paul Bennett +8
We assess the ability of large language models (LLMs) to answer causal questions by analyzing their strengths and weaknesses against three types of causal question. We believe that…
stat.CO2014★ 2 cited
A* Sampling
Chris J. Maddison, Daniel Tarlow, Tom Minka
The problem of drawing samples from a discrete distribution can be converted into a discrete optimization problem. In this work, we show how sampling from a continuous distribution…