Papers by Jessy Lin
Automatic Correction of Human Translations (2022.naacl-main)
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| Challenge: | Despite recent advances in machine translation, a tremendous amount of translated content in the world is still written by humans. |
| Approach: | They propose a task of translation error correction (TEC) that corrects human-generated translations by correcting all errors in a source sentence and a human-created translation. |
| Outcome: | The proposed system improves translation accuracy by 5.1 points compared to MT systems with human errors . |
Inferring Rewards from Language in Context (2022.acl-long)
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| Challenge: | a new study grounding language to reward functions extends the standard instruction following setup in this way. |
| Approach: | They propose a model that infers rewards from language pragmatically by reasoning about how speakers choose utterances to elicit desired actions and reveal information about their preferences. |
| Outcome: | The proposed model infers rewards from language pragmatically on a flight–booking task with natural language. |