---
title: "Da Chen — author profile and papers — Elamur Research"
description: "Da Chen, Hong Kong University of Science and Technology: 2 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/da-chen/"
---
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# Da Chen

Da Chen has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Aonian Li](https://md.research.elamur.ai/free/en/authors/aonian-li/), [Bangwei Gong](https://md.research.elamur.ai/free/en/authors/bangwei-gong/), [Bo Yang](https://md.research.elamur.ai/free/en/authors/bo-yang/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5134296538) · [**h-index 0**](https://openalex.org/authors/A5134296538) · [3 works](https://openalex.org/works?filter=author.id:A5134296538) · [0 citations](https://openalex.org/works?filter=author.id:A5134296538&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/da-chen/#papers) · [🔗 Cited 50 times in our library](https://md.research.elamur.ai/free/en/authors/da-chen/cited-by/) · [⭐ Paper Stars ranking: #7796](https://md.research.elamur.ai/free/en/paper-stars/page/78/#star-7796)

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

## Affiliations

[🎓**Hong Kong University of Science and Technology** Hong Kong · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🏢**Huawei Technologies** Shenzhen · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/huawei-technologies/)

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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/da-chen/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/da-chen/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[MiniMax-01: Scaling Foundation Models with Lightning Attention](https://md.research.elamur.ai/free/en/papers/minimax-2025-minimax-01-scaling-foundation/)** *(2025 · 50 citations)* Most current LLMs and VLMs handle 32K–256K tokens of context. That is often too little for tasks like reading whole books, working across entire code repositories, or many-shot in-context learning. The main obstacle is that softmax attention cost grows quadratically with length. MiniMax-01 addresses this with a…
2. **[Beyond Overlap Metrics: Rewarding Reasoning and Preferences for Faithful Multi-Role Dialogue Summarization](https://md.research.elamur.ai/free/en/papers/mei-2026-beyond-overlap-metrics-rewarding-reasoning/)** *(2026)* The paper addresses the problem that summarizers of multi-speaker conversations are usually tuned toward overlap metrics such as ROUGE and BERTScore.

## Co-authors here

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

- [Aonian Li](https://md.research.elamur.ai/free/en/authors/aonian-li/)
- [Bangwei Gong](https://md.research.elamur.ai/free/en/authors/bangwei-gong/)
- [Bo Yang](https://md.research.elamur.ai/free/en/authors/bo-yang/)
- [Boji Shan](https://md.research.elamur.ai/free/en/authors/boji-shan/)
- [Chang Liu](https://md.research.elamur.ai/free/en/authors/chang-liu/)
- [Cheng Zhu](https://md.research.elamur.ai/free/en/authors/cheng-zhu/)
- [Dong Li](https://md.research.elamur.ai/free/en/authors/dong-li/)
- [MiniMax](https://md.research.elamur.ai/free/en/authors/minimax/)
- [Xiangyu Wen](https://md.research.elamur.ai/free/en/authors/xiangyu-wen/)

## Venues

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

- [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 50 times (of the 149,439 papers whose bibliographies we read); [17 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/da-chen/cited-by/).

Updated 1 November 2026
