Empirical study on BlenderBot 2.0’s Errors Analysis in terms of Model, Data and User-Centric Approach
By Jungseob Lee, Midan Shim, Suhyune Son, Yujin Kim, Chanjun Park, Heuiseok Lim. 2022
Subfields: Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Natural Language Processing
- Jason Aaron Edward Weston
- Kurt Shuster
- Arthur Szlam
- Stephen Roller
- Mojtaba Komeili
- Y-Lan Boureau
- Emily Dinan
- Eric Michael Smith
Citations in the corpus
- Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion (2022, background): “They, as well as others (Lee et al., 2022), report that their method can have the problems of either mixing up facts together incorrectly or generating a generic response that ignores the knowledge, which our method attempts to address.”