Exploring Reasoning Biases in Large Language Models Through Syllogism: Insights from the NeuBAROCO Dataset

8 August 2024

Papers citing "Exploring Reasoning Biases in Large Language Models Through Syllogism: Insights from the NeuBAROCO Dataset"

5 / 5 papers shown

Title
Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities Kazuki Fujii Taishi Nakamura Mengsay Loem Hiroki Iida Masanari Ohi Kakeru Hattori Hirai Shota Sakae Mizuki Rio Yokota Naoaki Okazaki CLL 74 71 0 27 Apr 2024
Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases Risako Ando Takanobu Morishita Hirohiko Abe K. Mineshima Mitsuhiro Okada LRM ELM 62 13 0 21 Jun 2023
Language models show human-like content effects on reasoning tasks Ishita Dasgupta Andrew Kyle Lampinen Stephanie C. Y. Chan Hannah R. Sheahan Antonia Creswell D. Kumaran James L. McClelland Felix Hill ReLM LRM 109 186 0 14 Jul 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 806 12,893 0 04 Mar 2022
Can neural networks understand monotonicity reasoning? Hitomi Yanaka K. Mineshima D. Bekki Kentaro Inui Satoshi Sekine Lasha Abzianidze Johan Bos LRM 55 80 0 15 Jun 2019