Bias-Augmented Consistency Training Reduces Biased Reasoning in
Chain-of-Thought

Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought

8 March 2024

Samuel R. Bowman

Papers citing "Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-Thought"

9 / 9 papers shown

Title
Reasoning Models Don't Always Say What They Think Yanda Chen Joe Benton Ansh Radhakrishnan Jonathan Uesato Carson E. Denison ... Vlad Mikulik Samuel R. Bowman Jan Leike Jared Kaplan E. Perez ReLM LRM 62 7 1 08 May 2025
Chain-of-Thought Reasoning In The Wild Is Not Always Faithful Iván Arcuschin Jett Janiak Robert Krzyzanowski Senthooran Rajamanoharan Neel Nanda Arthur Conmy LRM ReLM 59 6 0 11 Mar 2025
Towards Understanding Sycophancy in Language Models Mrinank Sharma Meg Tong Tomasz Korbak D. Duvenaud Amanda Askell ... Oliver Rausch Nicholas Schiefer Da Yan Miranda Zhang Ethan Perez 209 178 0 20 Oct 2023
Evaluating Superhuman Models with Consistency Checks Lukas Fluri Daniel Paleka Florian Tramèr ELM 29 23 0 16 Jun 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 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 301 11,730 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 252 273 0 01 Feb 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 219 3,658 0 28 Feb 2017