• Test-Time Training

  • Nov 14 2024
  • Length: 15 mins
  • Podcast

Test-Time Training

Listen for free

View show details

  • Summary

  • ⌛️ The Surprising Effectiveness of Test-Time Training for Abstract Reasoning

    This paper examines how test-time training (TTT) can enhance the abstract reasoning abilities of large language models (LLMs). TTT, which updates model parameters during inference, significantly improves performance on the Abstraction and Reasoning Corpus (ARC) benchmark. Key factors for effective TTT include initial fine-tuning, auxiliary tasks, and instance-specific training. The approach achieves state-of-the-art results on ARC, even matching human averages with program synthesis. This study suggests that dedicating computation at test time, rather than relying on symbolic components, may be essential for complex reasoning tasks.

    📎 Link to paper
    Show More Show Less
Show More Show Less
activate_Holiday_promo_in_buybox_DT_T2

What listeners say about Test-Time Training

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.co.uk reviews

Amazon reviews
No Reviews are Available