Is Knowledge All Large Language Models Needed for Causal Reasoning?

Is Knowledge All Large Language Models Needed for Causal Reasoning?

30 December 2023

Papers citing "Is Knowledge All Large Language Models Needed for Causal Reasoning?"

15 / 15 papers shown

Title
CausalGraph2LLM: Evaluating LLMs for Causal Queries Ivaxi Sheth Bahare Fatemi Mario Fritz 22 0 0 21 Oct 2024
Causality for Large Language Models Anpeng Wu Kun Kuang Minqin Zhu Yingrong Wang Yujia Zheng Kairong Han B. Li Guangyi Chen Fei Wu Kun Zhang LRM 46 7 0 20 Oct 2024
Causal Inference with Large Language Model: A Survey Jing Ma CML LRM 83 8 0 15 Sep 2024
Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation Julia Barnett Kimon Kieslich Nicholas Diakopoulos 32 3 0 15 May 2024
ALCM: Autonomous LLM-Augmented Causal Discovery Framework Elahe Khatibi Mahyar Abbasian Zhongqi Yang Iman Azimi Amir M. Rahmani 56 12 0 02 May 2024
Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models Beichen Huang Xingyu Wu Yu Zhou Jibin Wu Liang Feng Ran Cheng Kay Chen Tan 50 12 0 09 Apr 2024
Evaluating Interventional Reasoning Capabilities of Large Language Models Tejas Kasetty Divyat Mahajan Gintare Karolina Dziugaite Alexandre Drouin Dhanya Sridhar LRM ELM 46 5 0 08 Apr 2024
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 26 11 0 07 Nov 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 293 4,077 0 24 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,448 0 28 Jan 2022
Text and Code Embeddings by Contrastive Pre-Training Arvind Neelakantan Tao Xu Raul Puri Alec Radford Jesse Michael Han ... Tabarak Khan Toki Sherbakov Joanne Jang Peter Welinder Lilian Weng SSL AI4TS 213 421 0 24 Jan 2022
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,453 0 23 Jan 2020
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 101 258 0 29 Sep 2019
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 210 719 0 12 May 2016