activity
20192023
most citedImproving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation

30 citations · 68 across the 6 of their papers we have counts for

collaborators

7 papers

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…

cs.IR2021★ 26 cited

Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval

Zhiqi Huang, Hamed Bonab, Sheikh Muhammad Sarwar +2

Pretrained contextualized representations offer great success for many downstream tasks, including document ranking. The multilingual versions of such pretrained representations pr…

cs.CL2021

Audio-Oriented Multimodal Machine Comprehension: Task, Dataset and Model

Zhiqi Huang, Fenglin Liu, Xian Wu +4

While Machine Comprehension (MC) has attracted extensive research interests in recent years, existing approaches mainly belong to the category of Machine Reading Comprehension task…