Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios

26 May 2023

Papers citing "Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios"

7 / 7 papers shown

Title
Controllable Context Sensitivity and the Knob Behind It Julian Minder Kevin Du Niklas Stoehr Giovanni Monea Chris Wendler Robert West Ryan Cotterell KELM 78 5 0 11 Nov 2024
Reasoning Elicitation in Language Models via Counterfactual Feedback Alihan Hüyük Xinnuo Xu Jacqueline R. M. A. Maasch Aditya V. Nori Javier González ReLM LRM 353 1 0 02 Oct 2024
ACCORD: Closing the Commonsense Measurability Gap François Roewer-Després Jinyue Feng Zining Zhu Frank Rudzicz LRM 68 0 0 04 Jun 2024
MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset Weiqi Wang Yangqiu Song LRM 84 10 0 04 Jun 2024
CRASS: A Novel Data Set and Benchmark to Test Counterfactual Reasoning of Large Language Models Jorg Frohberg Frank Binder SLR 38 28 0 22 Dec 2021
MPNet: Masked and Permuted Pre-training for Language Understanding Kaitao Song Xu Tan Tao Qin Jianfeng Lu Tie-Yan Liu 94 1,105 0 20 Apr 2020
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 408 24,160 0 26 Jul 2019