---
title: "Sheng-Chieh Lin — author profile and papers in our library"
description: "Sheng-Chieh Lin: 2 papers on Elamur Research (2021–2023) — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/sheng-chieh-lin/"
---
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# Sheng-Chieh Lin

Sheng-Chieh Lin has 2 papers in our library, in 2021–2023, most of them on [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Jimmy Lin](https://md.research.elamur.ai/free/en/authors/jimmy-lin/), [Akari Asai](https://md.research.elamur.ai/free/en/authors/akari-asai/), [Barlas Oguz](https://md.research.elamur.ai/free/en/authors/barlas-oguz/).

2 papers in our library · 2021–2023

No OpenAlex profile matched yet.

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sheng-chieh-lin/#papers) · [🔗 Cited 200 times in our library](https://md.research.elamur.ai/free/en/authors/sheng-chieh-lin/cited-by/) · [⭐ Paper Stars ranking: #3232](https://md.research.elamur.ai/free/en/paper-stars/page/33/#star-3232)

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=Sheng-Chieh+Lin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sheng-Chieh+Lin) · [dblp](https://dblp.org/search?q=Sheng-Chieh+Lin) · [ACL Anthology](https://aclanthology.org/search/?q=Sheng-Chieh+Lin)

## Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

## Works by year

### 2020s

[**2023** 1 paper How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval](https://md.research.elamur.ai/free/en/papers/lin-2023-how-train-your-dragon-diverse/) · [**2021** 1 paper Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling](https://md.research.elamur.ai/free/en/papers/hofstatter-2021-efficiently-teaching-effective-dense-retriever/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling](https://md.research.elamur.ai/free/en/papers/hofstatter-2021-efficiently-teaching-effective-dense-retriever/)** *(2021 · 426 citations)* Dense retrievers such as the dual-encoder BERT DOT give fast first-stage search. Recent methods for training them cost a lot of compute: ANCE keeps refreshing a negative-sampling index, and RocketQA needs very large batches. Hofstätter et al. ask whether a strong dense retriever can be trained on modest hardware…
2. **[How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval](https://md.research.elamur.ai/free/en/papers/lin-2023-how-train-your-dragon-diverse/)** *(2023 · 115 citations)* Dense retrievers (DR) of BERT-base size have usually forced a choice: models tuned for in-domain supervised retrieval on MS MARCO tend to transfer poorly to new domains, and the reverse also holds.

## Co-authors here

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

- [Jimmy Lin](https://md.research.elamur.ai/free/en/authors/jimmy-lin/) ×2
- [Akari Asai](https://md.research.elamur.ai/free/en/authors/akari-asai/)
- [Barlas Oguz](https://md.research.elamur.ai/free/en/authors/barlas-oguz/)
- [Sebastian Hofstatter](https://md.research.elamur.ai/free/en/authors/sebastian-hofstatter/)
- [Wen-tau Yih](https://md.research.elamur.ai/free/en/authors/wen-tau-yih/)
- [Xilun Chen](https://md.research.elamur.ai/free/en/authors/xilun-chen/)
- [Yashar Mehdad](https://md.research.elamur.ai/free/en/authors/yashar-mehdad/)

## 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 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/)
- [International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/): [SIGIR 2021](https://md.research.elamur.ai/free/en/venues/international-acm-sigir-conference-on-research-and-development-in-information/2021/)

## Cited by

Papers of our library cite their works 200 times (of the 141,840 papers whose bibliographies we read); [18 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sheng-chieh-lin/cited-by/).

Updated 24 October 2026
