Causal Direction of Data Collection Matters: Implications of Causal and
Anticausal Learning for NLP

Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP

7 October 2021

Julius von Kügelgen

Mrinmaya Sachan

Bernhard Schoelkopf

Papers citing "Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP"

17 / 17 papers shown

Title
On the Role of Priors in Bayesian Causal Learning Bernhard C. Geiger Roman Kern CML 32 0 0 02 Apr 2025
Causal vs. Anticausal merging of predictors Sergio Hernan Garrido Mejia Patrick Blobaum Bernhard Schölkopf Dominik Janzing 34 0 0 14 Jan 2025
Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification Kush Dubey 19 1 0 30 Sep 2024
Cause and Effect: Can Large Language Models Truly Understand Causality? Swagata Ashwani Kshiteesh Hegde Nishith Reddy Mannuru Mayank Jindal Dushyant Singh Sengar Krishna Chaitanya Rao Kathala Dishant Banga Vinija Jain Aman Chadha LRM 30 17 0 28 Feb 2024
The Bias Amplification Paradox in Text-to-Image Generation P. Seshadri Sameer Singh Yanai Elazar DiffM 11 39 0 01 Aug 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 34 13 0 04 Jul 2023
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models Oana Ignat Zhijing Jin Artem Abzaliev Laura Biester Santiago Castro ... Verónica Pérez-Rosas Siqi Shen Zekun Wang Winston Wu Rada Mihalcea LRM 24 6 0 21 May 2023
Psychologically-Inspired Causal Prompts Zhiheng Lyu Zhijing Jin Justus Mattern Rada Mihalcea Mrinmaya Sachan Bernhard Schoelkopf CML 24 0 0 02 May 2023
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering Dheeru Dua Emma Strubell Sameer Singh Pat Verga OOD 29 3 0 20 Dec 2022
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models Alessandro Stolfo Zhijing Jin Kumar Shridhar Bernhard Schölkopf Mrinmaya Sachan ELM OOD LRM 19 61 0 21 Oct 2022
Sequential Learning Of Neural Networks for Prequential MDL J. Bornschein Yazhe Li Marcus Hutter AI4TS 17 6 0 14 Oct 2022
Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions Yanai Elazar Nora Kassner Shauli Ravfogel Amir Feder Abhilasha Ravichander Marius Mosbach Yonatan Belinkov Hinrich Schütze Yoav Goldberg CML SyDa MILM 23 52 0 28 Jul 2022
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection Indira Sen Mattia Samory Claudia Wagner Isabelle Augenstein 11 16 0 09 May 2022
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance Jingwei Ni Zhijing Jin Markus Freitag Mrinmaya Sachan Bernhard Schölkopf 20 14 0 04 May 2022
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language Jacob Eisenstein CML 18 25 0 09 Apr 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 15 45 0 01 Apr 2022
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond Amir Feder Katherine A. Keith Emaad A. Manzoor Reid Pryzant Dhanya Sridhar ... Roi Reichart Margaret E. Roberts Brandon M Stewart Victor Veitch Diyi Yang CML 10 234 0 02 Sep 2021