Observed Signal · Aug 4, 2023 · Research Study · Source: Trending Topics · Impact: 2/5 · Sentiment: Positive
UCLA Study: GPT-3 Matches College Students on Reasoning Tests
Researchers at the University of California, Los Angeles (UCLA) tested OpenAI's GPT-3 language model on reasoning tasks and found it performs as well as, or better than, college students in several areas. The study, published in Nature Human Behavior, used Raven's Progressive Matrices-style problems, where GPT-3 solved 80% correctly versus a human average of just under 60%, within the range of the highest human scores. GPT-3 also outperformed the average human on SAT analogy questions that researchers believed were never published online. However, the AI underperformed students on analogies derived from short stories, though GPT-4 fared better. Lead author Hongjing Lu noted GPT-3 made similar errors to humans, while researchers cautioned that the model still fails at tasks humans find simple, such as using tools for physical problems. The findings question whether analogical reasoning is a uniquely human ability and raise the open question of whether GPT-3 imitates human thought as a byproduct of training or employs a fundamentally new cognitive process.
Demonstrates that LLMs like GPT-3 can match or exceed human performance on standardized reasoning tests, signaling AI capability maturation relevant to automation in knowledge work and AI-driven tools, though no direct AdTech application is cited.
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Key Takeaways & Evidence Grounding
- GPT-3 solved 80% of Raven's Progressive Matrices-style reasoning problems, versus a human average of just under 60%.
- GPT-3 outperformed the average human on SAT analogy questions believed not to be part of its training data.
- GPT-3 performed worse than students on analogies based on short stories; GPT-4 performed better.
- The study was published in Nature Human Behavior by UCLA researchers.
- Researchers noted GPT-3 still fails at simple human tasks like using tools to solve physical problems.
Connected Companies & Entities
1 Entity mapped“The UCLA researchers cannot say with certainty how GPT-3's reasoning abilities work without access to its inner workings, which are protecte...”
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