---
title: "Yao Zhao — papers"
description: "Yao Zhao: 5 papers in the Elamur Research library (2018–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/yao-zhao/"
---
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# Yao Zhao

5 papers on this site (2018–2023)

[OpenAlex](https://openalex.org/A5100362745) · [ORCID](https://orcid.org/0000-0002-8581-9554) · h-index 67 · 996 works · 20529 citations (openalex-snapshot, 2026-10-14)

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

- [SLiC-HF: Sequence Likelihood Calibration with Human Feedback](https://md.research.elamur.ai/free/en/papers/zhao-2023-slic-hf-sequence-likelihood-calibration/) — Yao Zhao, Rishabh Joshi, Tianqi Liu, et al. · 2023
- [TALM: Tool Augmented Language Models](https://md.research.elamur.ai/free/en/papers/parisi-2022-talm-tool-augmented-language-models/) — Aaron Parisi, Yao Zhao, Noah Fiedel · 2022
- [Planning with Learned Entity Prompts for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/narayan-2021-planning-learned-entity-prompts-abstractive/) — Shashi Narayan, Yao Zhao, Joshua Maynez, et al. · 2021
- [PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2019-pegasus-pre-training-extracted-gap/) — Jingqing Zhang, Yao Zhao, Mohammad Saleh, et al. · 2019
- [Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks](https://md.research.elamur.ai/free/en/papers/zhao-2018-paragraph-level-neural-question-generation/) — Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, et al. · 2018