))
Two-Turn Debate Doesn’t Help Humans Answer Hard Reading Comprehension Questions
Manage episode 424087977 series 3498845
Inhoud geleverd door BlueDot Impact. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door BlueDot Impact of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
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 round of counter-arguments is helpful to humans. We find that, regardless of whether they have access to arguments or not, humans perform similarly on our task. These findings suggest that, in the case of answering reading comprehension questions, debate is not a helpful format.
Source:
https://arxiv.org/abs/2210.10860
Narrated for AI Safety Fundamentals by Perrin Walker of TYPE III AUDIO.
---
A podcast by BlueDot Impact.
Learn more on the AI Safety Fundamentals website.
Hoofdstukken
1. Two turn debate (00:00:00)
2. Abstract (00:00:17)
3. 1 Introduction (00:01:26)
4. 2 Counter-Argument Writing Protocol (00:04:24)
5. 2.1 Multi-Turn Writing Task (00:04:28)
6. 2.2 Multi-Turn Judging Protocols (00:08:32)
7. 3 Results (00:11:45)
8. 4 Conclusion (00:15:51)
80 afleveringen
Delen
