2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024
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…
cs.CL2023★ 2 cited
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…
cs.CL2023
The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning
Zhuang Li, Lizhen Qu, Philip R. Cohen +2
Multilingual semantic parsing aims to leverage the knowledge from the high-resource languages to improve low-resource semantic parsing, yet commonly suffers from the data imbalance…