Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions
Alicia Parrish, Harsh Trivedi, Nikita Nangia, Vishakh Padmakumar,, Jason Phang, Amanpreet Singh Saimbhi, Samuel R. Bowman

TL;DR
This study investigates whether a two-turn debate format improves humans' ability to answer difficult reading comprehension questions, finding that additional debate rounds do not enhance human performance.
Contribution
The paper provides empirical evidence that a two-turn debate format does not improve human accuracy on hard reading comprehension questions, challenging assumptions about debate's usefulness in this context.
Findings
Two-turn debates do not improve human accuracy.
Debate format is not helpful for answering difficult questions.
Humans perform similarly with or without debate arguments.
Abstract
The use of language-model-based question-answering systems to aid humans in completing difficult tasks is limited, in part, by the unreliability of the text these systems generate. Using hard multiple-choice reading comprehension questions as a testbed, we assess whether presenting humans with arguments for two competing answer options, where one is correct and the other is incorrect, allows human judges to perform more accurately, even when one of the arguments is unreliable and deceptive. If this is helpful, we may be able to increase our justified trust in language-model-based systems by asking them to produce these arguments where needed. Previous research has shown that just a single turn of arguments in this format is not helpful to humans. However, as debate settings are characterized by a back-and-forth dialogue, we follow up on previous results to test whether adding a second…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTopic Modeling · Multi-Agent Systems and Negotiation · Speech and dialogue systems
MethodsTest
