One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations

9 May 2024

Papers citing "One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations"

7 / 7 papers shown

Title
LLMs Get Lost In Multi-Turn Conversation Philippe Laban Hiroaki Hayashi Yingbo Zhou Jennifer Neville 25 0 0 09 May 2025
Generative AI for Research Data Processing: Lessons Learnt From Three Use Cases Modhurita Mitra Martine G. de Vos Nicola Cortinovis Dawa Ometto 22 0 0 22 Apr 2025
Challenges and Opportunities of Moderating Usage of Large Language Models in Education L. Krupp Steffen Steinert Maximilian Kiefer-Emmanouilidis Karina E. Avila P. Lukowicz Jochen Kuhn S. Küchemann Jakob Karolus 24 12 0 19 Dec 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 164 268 0 28 Sep 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 255 273 0 01 Feb 2021
Reducing conversational agents' overconfidence through linguistic calibration Sabrina J. Mielke Arthur Szlam Emily Dinan Y-Lan Boureau 197 152 0 30 Dec 2020