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Sheng-Chieh Lin

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IR4
ORCID 0000-0002-7989-9703
same name
  • Sheng-Chieh Lin — 8 papers
  • Sheng-Chieh Lin — 5 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedSLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes

11 citations · 24 across the 4 of their papers we have counts for

collaborators

4 papers

cs.IR2023★ 3 cited

Improving Conversational Passage Re-ranking with View Ensemble

Jia-Huei Ju, Sheng-Chieh Lin, Ming-Feng Tsai +1

This paper presents ConvRerank, a conversational passage re-ranker that employs a newly developed pseudo-labeling approach. Our proposed view-ensemble method enhances the quality o…

cs.IR2023★ 4 cited

How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval

Sheng-Chieh Lin, Akari Asai, Minghan Li +5

Various techniques have been developed in recent years to improve dense retrieval (DR), such as unsupervised contrastive learning and pseudo-query generation. Existing DRs, however…

cs.IR2023★ 11 cited

SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes

Minghan Li, Sheng-Chieh Lin, Xueguang Ma +1

This paper introduces Sparsified Late Interaction for Multi-vector (SLIM) retrieval with inverted indexes. Multi-vector retrieval methods have demonstrated their effectiveness on v…

cs.IR2021★ 6 cited

Densifying Sparse Representations for Passage Retrieval by Representational Slicing

Sheng-Chieh Lin, Jimmy Lin

Learned sparse and dense representations capture different successful approaches to text retrieval and the fusion of their results has proven to be more effective and robust. Prior…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.