Learning to Rank for Plausible Plausibility

5 June 2019

Papers citing "Learning to Rank for Plausible Plausibility"

7 / 7 papers shown

Title
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation Liaoyaqi Wang Zhengping Jiang Anqi Liu Benjamin Van Durme 63 0 0 02 May 2025
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code Xiao Liu Da Yin Chen Zhang Yansong Feng Dongyan Zhao ELM ReLM ReCod LRM 49 20 0 30 May 2023
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 42 3 0 16 Dec 2022
Knowledge-Augmented Language Models for Cause-Effect Relation Classification Pedram Hosseini David A. Broniatowski Mona T. Diab CML 23 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 29 17 0 21 Jul 2021
Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning Alexandre Tamborrino Nicola Pellicanò B. Pannier Pascal Voitot Louise Naudin LRM 22 63 0 29 Apr 2020
When Choosing Plausible Alternatives, Clever Hans can be Clever Pride Kavumba Naoya Inoue Benjamin Heinzerling Keshav Singh Paul Reisert Kentaro Inui 24 51 0 01 Nov 2019