---
title: "Fan Zhou — author profile and papers — Elamur Research"
description: "Fan Zhou, Nanjing University of Finance and Economics: 4 papers on Elamur Research (2023–2024), h-index 4 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/fan-zhou/"
---
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# Fan Zhou

Fan Zhou has 4 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Qian Liu](https://md.research.elamur.ai/free/en/authors/qian-liu/), [Bei Chen](https://md.research.elamur.ai/free/en/authors/bei-chen/), [Chao Li](https://md.research.elamur.ai/free/en/authors/chao-li/).

4 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5066629453) · [ORCID](https://orcid.org/0009-0000-2668-9975) · [**h-index 4**](https://openalex.org/authors/A5066629453) · [25 works](https://openalex.org/works?filter=author.id:A5066629453) · [73 citations](https://openalex.org/works?filter=author.id:A5066629453&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/fan-zhou/#papers) · [🔗 Cited 101 times in our library](https://md.research.elamur.ai/free/en/authors/fan-zhou/cited-by/) · [⭐ Paper Stars ranking: #6296](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6296)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Fan+Zhou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Fan+Zhou) · [dblp](https://dblp.org/search?q=Fan+Zhou) · [ACL Anthology](https://aclanthology.org/search/?q=Fan+Zhou)

## Affiliations

[🎓**Nanjing University of Finance and Economics** Nanjing · China 2023–2025 · 8 papers*current*](https://ror.org/031y8am81)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/fan-zhou/year/2024/) · [**2023** 3 papers](https://md.research.elamur.ai/free/en/authors/fan-zhou/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[OpenAgents: An Open Platform for Language Agents in the Wild](https://md.research.elamur.ai/free/en/papers/xie-2023-openagents-open-platform-language-agents/)** *(2023 · 62 citations)* Most language-agent frameworks (e.g., AutoGPT, BabyAGI) are developer-oriented prototypes with console interfaces.
2. **[Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning](https://md.research.elamur.ai/free/en/papers/shi-2023-language-models-improve-event-prediction/)** *(2023 · 44 citations)* The paper asks whether large language models can help forecast real-world events in time-stamped sequences, such as political interactions between G20 entities, where each event carries text like a news headline.
3. **[From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-zero-hero-examining-power-symbolic/)** *(2023 · 24 citations)* Instruction tuning helps language models handle tasks they never saw during training. Its training data, however, usually comes from human crowdsourcing, which is costly and limited in size, or from LLM generation, which is noisy because outputs may not match inputs. The authors propose adding symbolic tasks. These…
4. **[Yi-Lightning Technical Report](https://md.research.elamur.ai/free/en/papers/wake-2024-yi-lightning-technical-report/)** *(2024 · 11 citations)* This report from 01.AI describes Yi-Lightning, a proprietary flagship LLM designed to perform well in real use while keeping training, deployment and inference costs low.

## Co-authors here

12 of 23 co-authors with a page, the most papers together first.

- [Qian Liu](https://md.research.elamur.ai/free/en/authors/qian-liu/) ×2
- [Bei Chen](https://md.research.elamur.ai/free/en/authors/bei-chen/)
- [Chao Li](https://md.research.elamur.ai/free/en/authors/chao-li/)
- [Che Liu](https://md.research.elamur.ai/free/en/authors/che-liu/)
- [Chengen Huang](https://md.research.elamur.ai/free/en/authors/chengen-huang/)
- [Chenhao Tan](https://md.research.elamur.ai/free/en/authors/chenhao-tan/)
- [Chujie Zheng](https://md.research.elamur.ai/free/en/authors/chujie-zheng/)
- [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/)
- [Guoyin Wang](https://md.research.elamur.ai/free/en/authors/guoyin-wang/)
- [Hongyuan Mei](https://md.research.elamur.ai/free/en/authors/hongyuan-mei/)
- [Jun Zhou](https://md.research.elamur.ai/free/en/authors/jun-zhou/)
- [Leo Z. Liu](https://md.research.elamur.ai/free/en/authors/leo-z-liu/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)

## Cited by

Papers of our library cite their works 101 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/fan-zhou/cited-by/).

Updated 30 October 2026
