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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; often with Jimmy Lin, Akari Asai, Barlas Oguz.

2 papers in our library · 2021–2023

No OpenAlex profile matched yet.

📄 2 works in our library · 🔗 Cited 200 times in our library · ⭐ Paper Stars ranking: #3232

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Concepts, shelves and topics

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Information retrieval & search · 2 works

 Works by year

2020s

20231 paperHow to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval20211 paperEfficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

 Papers

The most cited first (OpenAlex and our library).

  1. Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling (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 (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.

Venues

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

 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 →.

Updated

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