Papers by Dongwon Ryu
Multilingual Simultaneous Neural Machine Translation (2021.findings-acl)
Copied to clipboard
| Challenge: | Simultaneous machine translation (SIMT) involves translating source utterances to the target language in real-time before the speaker utterrance completes. |
| Approach: | They propose a multilingual approach to simultaneous machine translation where a single model simultaneously translates between multiple languages. |
| Outcome: | The proposed multilingual approach improves on two Germanic and three Romance languages and is on-par or better than the universal model trained for all languages. |
Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games (2022.acl-short)
Copied to clipboard
| Challenge: | Existing RL agents are far away from solving text-based games due to their combinatorially large action spaces that hinders efficient exploration. |
| Approach: | They propose an exploration technique that injects external commonsense knowledge, via a pretrained language model, into the agent during training when the agent is the most uncertain about its next action. |
| Outcome: | The proposed method exhibits improvement on the collected game scores during the training in four out of nine games from Jericho. |