---
title: "Feng Chen — author profile and papers — Elamur Research"
description: "Feng Chen, The University of Texas at Dallas: 3 papers on Elamur Research (2023–2026), h-index 1 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/feng-chen/"
---
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# Feng Chen

Feng Chen has 3 papers in our library, in 2023–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/); often with [Gholamreza Haffari](https://md.research.elamur.ai/free/en/authors/gholamreza-haffari/), [Mingyang Zhang](https://md.research.elamur.ai/free/en/authors/mingyang-zhang/), [Weijie Wang](https://md.research.elamur.ai/free/en/authors/weijie-wang/).

3 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5139797253) · [**h-index 1**](https://openalex.org/authors/A5139797253) · [6 works](https://openalex.org/works?filter=author.id:A5139797253) · [2 citations](https://openalex.org/works?filter=author.id:A5139797253&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/feng-chen/#papers) · [🔗 Cited 16 times in our library](https://md.research.elamur.ai/free/en/authors/feng-chen/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8666](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8666)

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=Feng+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Feng+Chen) · [dblp](https://dblp.org/search?q=Feng+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Feng+Chen)

## Affiliations

[🏢**Alibaba Group** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Nanyang Technological University** Singapore · Singapore 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**The University of Texas at Dallas** Richardson · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-dallas/) · [🎓**University of Washington** Seattle · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-washington/)

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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 6 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/feng-chen/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/feng-chen/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction](https://md.research.elamur.ai/free/en/papers/chen-2023-chain-thought-prompt-distillation-multimodal/)** *(2023 · 22 citations)* MNER and MRE use images attached to text, such as social posts, reviews and news, to help identify entities and relations.
2. **[CoV: Chain-of-View Prompting for Spatial Reasoning](https://md.research.elamur.ai/free/en/papers/zhao-2026-cov-chain-view-prompting-spatial/)** *(2026 · 2 citations)* Vision–language models (VLMs) used for embodied question answering (EQA) in 3D scenes usually receive a small, fixed set of frames.
3. **[Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention](https://md.research.elamur.ai/free/en/papers/yang-2026-less-is-more-improving-llm/)** *(2026 · 2 citations)* Test-time scaling techniques such as self-consistency or tree search make LLMs reason better, but they pay for it with heavy extra inference compute.

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. [**Chain-of-Thought Prompt Distillation for Multimodal Named Entity Recognition and Multimodal Relation Extraction arXiv:2306.14122**Feng Chen, Yujian Feng*2023 · 22 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-chain-thought-prompt-distillation-multimodal/)
2. **[CoV: Chain-of-View Prompting for Spatial Reasoning](https://md.research.elamur.ai/free/en/papers/zhao-2026-cov-chain-view-prompting-spatial/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoyu Zhao, Akide Liu, Zeyu Zhang, et al.*2026 · 2 citations*
3. **[Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention](https://md.research.elamur.ai/free/en/papers/yang-2026-less-is-more-improving-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Yang, Mingyang Zhang, Feng Chen, et al.*2026 · 2 citations*
4. **[Uncertainty-Aware Test-Time Search for Optimization Problem Solving ↗](https://aclanthology.org/2026.acl-long.1975/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Linlin Yu et al.*2026*

## Co-authors here

5 co-authors with a page, the most papers together first.

- [Gholamreza Haffari](https://md.research.elamur.ai/free/en/authors/gholamreza-haffari/)
- [Mingyang Zhang](https://md.research.elamur.ai/free/en/authors/mingyang-zhang/)
- [Weijie Wang](https://md.research.elamur.ai/free/en/authors/weijie-wang/)
- [Zeyu Zhang](https://md.research.elamur.ai/free/en/authors/zeyu-zhang/)
- [Zhen Yang](https://md.research.elamur.ai/free/en/authors/zhen-yang/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 16 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/feng-chen/cited-by/).

Updated 31 October 2026
