Know What You Don't Know.

By C. Cho. 2017

18 citations recorded by the source corpus.

Subfields: Emergency Medicine, Physiology, Public Health, Environmental and Occupational Health, Safety, Robustness & Interpretability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety, Robustness & Interpretability

1. Yejin Choi
2. Ronan Le Bras
3. Alon Talmor
4. Jonathan Berant
5. Ori Yoran
6. Yoav Goldberg
7. Yulia Tsvetkov
8. Noah A. Smith

Citations in the corpus

• CommonsenseQA 2.0: Exposing the Limits of AI through Gamification (2021, background): “On the other hand, recurring findings reveal 18 that such models are brittle when provided with out-of-domain [1, 2, 3] or adversarial examples 19 [4, 5, 6, 7, 8, 9, 10], and make silly mistakes that contradict basic notions of human common sense.”
• A Comprehensive Overview of Large Language Models (2023, unknown): “Traditionally, these architectures perform well for different tasks, for example, encoder-only for NLU tasks, decoder-only for NLG, and encoder-decoder for sequence2sequence modeling.”