---
title: "Jie Zhou — papers"
description: "Jie Zhou: 9 papers in the Elamur Research library (2015–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/jie-zhou/"
---
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# Jie Zhou

9 papers on this site (2015–2023)

[OpenAlex](https://openalex.org/A5100770462) · [ORCID](https://orcid.org/0000-0002-2589-0164) · h-index 29 · 159 works · 2924 citations (openalex-snapshot, 2026-10-14)

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

- [Is ChatGPT a Good NLG Evaluator? A Preliminary Study](https://md.research.elamur.ai/free/en/papers/wang-2023-chatgpt-good-nlg-evaluator-preliminary/) — Jiaan Wang, Yunlong Liang, Fandong Meng, et al. · 2023
- [Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning](https://md.research.elamur.ai/free/en/papers/wang-2023-label-words-anchors-information-flow/) — Lean Wang, Lei Li, Damai Dai, et al. · 2023
- [Transformer-Patcher: One Mistake worth One Neuron](https://md.research.elamur.ai/free/en/papers/huang-2023-transformer-patcher-one-mistake-worth/) — Zeyu Huang, Yikang Shen, Xiaofeng Zhang, et al. · 2023
- [MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction](https://md.research.elamur.ai/free/en/papers/wang-2022-maven-ere-unified-large-scale/) — Xiaozhi Wang, Yulin Chen, Ning Ding, et al. · 2022
- [Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition](https://md.research.elamur.ai/free/en/papers/zhang-2021-context-tracking-network-graph-based/) — Yingxue Zhang, Fandong Meng, Peng Li, et al. · 2021
- [MAVEN: A Massive General Domain Event Detection Dataset](https://md.research.elamur.ai/free/en/papers/wang-2020-maven-massive-general-domain-event/) — Xiaozhi Wang, Ziqi Wang, Xu Han, et al. · 2020
- [A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer](https://md.research.elamur.ai/free/en/papers/luo-2019-dual-reinforcement-learning-framework-unsupervised/) — Fuli Luo, Peng Li, Jie Zhou, et al. · 2019
- [GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification](https://md.research.elamur.ai/free/en/papers/zhou-2019-gear-graph-based-evidence-aggregating/) — Jie Zhou, Xu Han, Cheng Yang, et al. · 2019
- [End-to-end learning of semantic role labeling using recurrent neural networks](https://md.research.elamur.ai/free/en/papers/zhou-2015-end-end-learning-semantic-role/) — Jie Zhou, Wei Xu · 2015