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

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

9 May 2024

John Joon Young Chung

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

18 / 18 papers shown

Title
Generative AI for Research Data Processing: Lessons Learnt From Three Use Cases Modhurita Mitra Martine G. de Vos Nicola Cortinovis Dawa Ometto 60 0 0 22 Apr 2025
Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment S. Spatharioti David M. Rothschild D. Goldstein Jake M. Hofman 75 55 0 07 Jul 2023
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation Sewon Min Kalpesh Krishna Xinxi Lyu M. Lewis Wen-tau Yih Pang Wei Koh Mohit Iyyer Luke Zettlemoyer Hannaneh Hajishirzi HILM ALM 130 693 0 23 May 2023
Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models Sangho Suh Bryan Min Srishti Palani Haijun Xia 63 76 0 19 May 2023
Explainable AI is Dead, Long Live Explainable AI! Hypothesis-driven decision support Tim Miller 79 127 0 24 Feb 2023
Toward General Design Principles for Generative AI Applications Justin D. Weisz Michael J. Muller Jessica He Stephanie Houde AI4CE 63 57 0 13 Jan 2023
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging Riccardo Fogliato Shreya Chappidi M. Lungren Michael Fitzke Mark Parkinson Diane U Wilson Paul Fisher Eric Horvitz K. Inkpen Besmira Nushi 66 71 0 19 May 2022
Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning Krzysztof Z. Gajos Lena Mamykina 70 103 0 11 Feb 2022
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization Philippe Laban Tobias Schnabel Paul N. Bennett Marti A. Hearst HILM 107 395 0 18 Nov 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 242 289 0 28 Sep 2021
To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making Zana Buçinca M. Malaya Krzysztof Z. Gajos 62 313 0 19 Feb 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 323 367 0 01 Feb 2021
Reducing conversational agents' overconfidence through linguistic calibration Sabrina J. Mielke Arthur Szlam Emily Dinan Y-Lan Boureau 269 168 0 30 Dec 2020
Logic-Guided Data Augmentation and Regularization for Consistent Question Answering Akari Asai Hannaneh Hajishirzi NAI 88 117 0 21 Apr 2020
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries Alex Jinpeng Wang Kyunghyun Cho M. Lewis HILM 84 481 0 08 Apr 2020
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations Oana-Maria Camburu Brendan Shillingford Pasquale Minervini Thomas Lukasiewicz Phil Blunsom AAML GAN 71 97 0 07 Oct 2019
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection Vivian Lai Chenhao Tan 78 377 0 19 Nov 2018
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension Mandar Joshi Eunsol Choi Daniel S. Weld Luke Zettlemoyer RALM 210 2,676 0 09 May 2017