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Evaluating Interventional Reasoning Capabilities of Large Language
  Models

Evaluating Interventional Reasoning Capabilities of Large Language Models

8 April 2024
Tejas Kasetty
Divyat Mahajan
Gintare Karolina Dziugaite
Alexandre Drouin
Dhanya Sridhar
    LRM
    ELM
ArXivPDFHTML

Papers citing "Evaluating Interventional Reasoning Capabilities of Large Language Models"

3 / 3 papers shown
Title
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
41
0
0
28 Feb 2025
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
Masayuki Takayama
Tadahisa Okuda
Thong Pham
T. Ikenoue
Shingo Fukuma
Shohei Shimizu
Akiyoshi Sannai
68
16
0
02 Feb 2024
Using cognitive psychology to understand GPT-3
Using cognitive psychology to understand GPT-3
Marcel Binz
Eric Schulz
ELM
LLMAG
226
435
0
21 Jun 2022
1