---
title: "Feng Sun — author profile and papers — Elamur Research"
description: "Feng Sun, Microsoft: 2 papers on Elamur Research (2024–2026), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/feng-sun/"
---
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# Feng Sun

Feng Sun has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Haizhen Huang](https://md.research.elamur.ai/free/en/authors/haizhen-huang/), [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/), [Weiwei Deng](https://md.research.elamur.ai/free/en/authors/weiwei-deng/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5103155713) · [ORCID](https://orcid.org/0009-0006-0834-0562) · [**h-index 3**](https://openalex.org/authors/A5103155713) · [7 works](https://openalex.org/works?filter=author.id:A5103155713) · [18 citations](https://openalex.org/works?filter=author.id:A5103155713&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/feng-sun/#papers) · [🔗 Cited 64 times in our library](https://md.research.elamur.ai/free/en/authors/feng-sun/cited-by/) · [⭐ Paper Stars ranking: #7289](https://md.research.elamur.ai/free/en/paper-stars/page/73/#star-7289)

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

## Affiliations

[🏢**Microsoft** Redmond · United States 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Microsoft Research Asia** Beijing · China 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/)

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 · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

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

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/feng-sun/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/feng-sun/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Calibrating LLM-Based Evaluator](https://md.research.elamur.ai/free/en/papers/liu-2024-calibrating-llm-based-evaluator/)** *(2024 · 71 citations)* LLMs are increasingly used as reference-free judges of generated text, but their scores often diverge from human experts.
2. **[Mnemis: Dual-Route Retrieval on Hierarchical Graphs for Long-Term LLM Memory](https://md.research.elamur.ai/free/en/papers/tang-2026-mnemis-dual-route-retrieval-hierarchical/)** *(2026 · 1 citation)* Long-running LLM agents need a memory of past conversations. Current RAG and Graph-RAG systems retrieve that memory mainly by similarity, through embeddings or BM25. This fast, "System-1" style of lookup misses evidence that is only weakly related to the query on the surface. It also struggles when a question needs a…

## Co-authors here

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

- [Haizhen Huang](https://md.research.elamur.ai/free/en/authors/haizhen-huang/) ×2
- [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) ×2
- [Weiwei Deng](https://md.research.elamur.ai/free/en/authors/weiwei-deng/) ×2
- [Furu Wei](https://md.research.elamur.ai/free/en/authors/furu-wei/)
- [Shaohan Huang](https://md.research.elamur.ai/free/en/authors/shaohan-huang/)
- [Xin Yu](https://md.research.elamur.ai/free/en/authors/xin-yu/)
- [Yuxuan Liu](https://md.research.elamur.ai/free/en/authors/yuxuan-liu/)
- [Zihao Tang](https://md.research.elamur.ai/free/en/authors/zihao-tang/)

## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2024](https://md.research.elamur.ai/free/en/venues/lrec/2024/)

## Cited by

Papers of our library cite their works 64 times (of the 149,439 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/feng-sun/cited-by/).

Updated 31 October 2026
