Guided Generation of Cause and Effect

21 July 2021

Papers citing "Guided Generation of Cause and Effect"

8 / 8 papers shown

Title
Causal Inference with Large Language Model: A Survey Jing Ma CML LRM 88 8 0 15 Sep 2024
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks Kai Xiong Xiao Ding Zhongyang Li LI DU Bing Qin Yi Zheng Baoxing Huai LRM BDL CML 31 3 0 16 Dec 2022
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation Jiashuo Wang Yi Cheng Wenjie Li 24 12 0 01 Nov 2022
SciNLI: A Corpus for Natural Language Inference on Scientific Text Mobashir Sadat Cornelia Caragea AILaw 17 35 0 13 Mar 2022
Knowledge-Augmented Language Models for Cause-Effect Relation Classification Pedram Hosseini David A. Broniatowski Mona T. Diab CML 18 18 0 16 Dec 2021
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision Zhongyang Li Xiao Ding Kuo Liao Bing Qin Ting Liu CML 21 17 0 21 Jul 2021
Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back Takahiro Yoshida Ryohei Hisano T. Ohnishi 17 6 0 25 Feb 2020
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 0 02 May 2018