72 citations · 82 across the 3 of their papers we have counts for
3 papers
Self-Rewarding Language Models
Weizhe Yuan, Richard Yuanzhe Pang, Kyunghyun Cho +4
We posit that to achieve superhuman agents, future models require superhuman feedback in order to provide an adequate training signal. Current approaches commonly train reward mode…
Importance of Search and Evaluation Strategies in Neural Dialogue Modeling
Ilia Kulikov, Alexander H. Miller, Kyunghyun Cho +1
We investigate the impact of search strategies in neural dialogue modeling. We first compare two standard search algorithms, greedy and beam search, as well as our newly proposed i…
Learning End-to-End Goal-Oriented Dialog
Antoine Bordes, Y-Lan Boureau, Jason Weston
Traditional dialog systems used in goal-oriented applications require a lot of domain-specific handcrafting, which hinders scaling up to new domains. End-to-end dialog systems, in…