---
title: "Michael Zeng — papers"
description: "Michael Zeng: 5 papers in the Elamur Research library (2020–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/michael-zeng/"
---
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# Michael Zeng

5 papers on this site (2020–2023)

[OpenAlex](https://openalex.org/A5089195158) · [ORCID](https://orcid.org/0000-0001-5302-5883) · h-index 31 · 106 works · 5858 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Automatic Prompt Optimization with “Gradient Descent” and Beam Search](https://md.research.elamur.ai/free/en/papers/pryzant-2023-automatic-prompt-optimization-gradient-descent/) — Reid Pryzant, Dan Iter, Jerry Li, et al. · 2023
- [Generate rather than Retrieve: Large Language Models are Strong Context Generators](https://md.research.elamur.ai/free/en/papers/yu-2022-generate-rather-than-retrieve-large/) — Wenhao Yu, Dan Iter, Shuohang Wang, et al. · 2022
- [MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization](https://md.research.elamur.ai/free/en/papers/zhu-2021-mediasum-large-scale-media-interview/) — Chenguang Zhu, Yang Liu, Jie Mei, et al. · 2021
- [Want To Reduce Labeling Cost? GPT-3 Can Help](https://md.research.elamur.ai/free/en/papers/wang-2021-want-reduce-labeling-cost-gpt/) — Shuohang Wang, Yang Liu, Yichong Xu, et al. · 2021
- [Few-shot Natural Language Generation for Task-Oriented Dialog](https://md.research.elamur.ai/free/en/papers/peng-2020-few-shot-natural-language-generation/) — Baolin Peng, Chenguang Zhu, Chunyuan Li, et al. · 2020