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Zhiqi Huang

7 papers hereh-index 96.5k citations22 works total

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

author position
  • sole author1
  • first author5

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.IR3
  • cs.CL2
  • astro-ph.CO1
  • math.GM1
same name
  • Zhiqi Huang — 53 papers, h 25
  • Zhiqi Huang — 12 papers, h 15
  • Zhiqi Huang — 11 papers, h 4
  • Zhiqi Huang — 7 papers, h 5
  • Zhiqi Huang — 6 papers, h 3
  • Zhiqi Huang — 5 papers

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

activity
20192023
most citedPlanck 2018 results. VII. Isotropy and Statistics of the CMB

495 citations · 563 across the 7 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.IR2023★ 10 cited

Soft Prompt Decoding for Multilingual Dense Retrieval

Zhiqi Huang, Hansi Zeng, Hamed Zamani +1

In this work, we explore a Multilingual Information Retrieval (MLIR) task, where the collection includes documents in multiple languages. We demonstrate that applying state-of-the-…

math.GM2023

Sum of digamma asymptotic error terms of an arithmetic series

Zhiqi Huang

We define an S function as the sum of the asymptotic error terms of digamma function of an arithmetic series, $S(a) \equiv \sum_{n=1}^\infty \left[\ln\frac{n}{a} - \frac{a}{2n}-ψ\l…

cs.IR2023★ 2 cited

Cross-lingual Knowledge Transfer via Distillation for Multilingual Information Retrieval

Zhiqi Huang, Puxuan Yu, James Allan

In this paper, we introduce the approach behind our submission for the MIRACL challenge, a WSDM 2023 Cup competition that centers on ad-hoc retrieval across 18 diverse languages. O…

cs.CL2023★ 30 cited

Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation

Zhiqi Huang, Puxuan Yu, James Allan

Benefiting from transformer-based pre-trained language models, neural ranking models have made significant progress. More recently, the advent of multilingual pre-trained language…

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