2 citations · 2 across the 3 of their papers we have counts for
3 papers
Improving Cross-Domain Low-Resource Text Generation through LLM Post-Editing: A Programmer-Interpreter Approach
Zhuang Li, Levon Haroutunian, Raj Tumuluri +2
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 pa…
Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models
Levon Haroutunian, Zhuang Li, Lucian Galescu +3
Large language models (LLMs) have demonstrated impressive capabilities in natural language generation. However, their output quality can be inconsistent, posing challenges for gene…
Multilingual unsupervised sequence segmentation transfers to extremely low-resource languages
C. M. Downey, Shannon Drizin, Levon Haroutunian +1
We show that unsupervised sequence-segmentation performance can be transferred to extremely low-resource languages by pre-training a Masked Segmental Language Model (Downey et al.,…