no code implementations • ACL 2022 • Levon Haroutunian
This paper considers some ethical implications of machine translation for low-resourced languages.
no code implementations • 7 Feb 2024 • Zhuang Li, Levon Haroutunian, Raj Tumuluri, Philip Cohen, Gholamreza Haffari
Post-editing has proven effective in improving the quality of text generated by large language models (LLMs) such as GPT-3. 5 or GPT-4, particularly when direct updating of their parameters to enhance text quality is infeasible or expensive.
no code implementations • 21 Sep 2023 • Levon Haroutunian, Zhuang Li, Lucian Galescu, Philip Cohen, Raj Tumuluri, Gholamreza Haffari
Our approach involves initially generating a set of candidate outputs by prompting an LLM and subsequently reranking them using a task-specific reranker model.
1 code implementation • ACL 2022 • C. M. Downey, Shannon Drizin, Levon Haroutunian, Shivin Thukral
Further, we show that this transfer can be achieved by training over a collection of low-resource languages that are typologically similar (but phylogenetically unrelated) to the target language.