Exploring the Limits

By I. S. Dunn. 2009

Subfields: Scaling & Learning Theory

How researchers see this paper

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

In Scaling & Learning Theory

1. Dara Bahri
2. Mihir Parmar
3. Jai Gupta
4. Yi Tay
5. Christopher D. Manning
6. Zhen Qin
7. Vamsi Krishna Aribandi
8. Akhil Kedia

Citations in the corpus

• You Only Need One Model for Open-domain Question Answering (2021, methodology): “On the other hand, MSS trains the model by ‘ input-output ’ pairs that have strong supervision for the answer generation, but no supervision for the retriever, requiring additional warm-up training for retrieval such as ICT.”
• Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence (2021, methodology): “We experiment with both BART-base (Lewis et al., 2020a) and T5-base (Raffel et al., 2020) sequence-to-sequence transformer-based generators.”