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Wen Ding

6 papers hereh-index 43.3k citations8 works total

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

author position
  • first author2
  • middle author3
  • last author1

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

fields
  • cs.CL3
  • eess.AS2
  • cs.LG1
same name
  • Wen Ding — 2 papers, h 2
  • Wen Ding — 2 papers, h 3
  • Wen Ding — 1 paper, h 6
  • Wen Ding — 1 paper, h 1

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
20242026
most citedGecko: Versatile Text Embeddings Distilled from Large Language Models

11 citations · 11 across the 6 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

eess.AS2024

NTC-KWS: Noise-aware CTC for Robust Keyword Spotting

Yu Xi, Haoyu Li, Hao Li +4

In recent years, there has been a growing interest in designing small-footprint yet effective Connectionist Temporal Classification based keyword spotting (CTC-KWS) systems. They a…

cs.CL2024

Romanization Encoding For Multilingual ASR

Wen Ding, Fei Jia, Hainan Xu +3

We introduce romanization encoding for script-heavy languages to optimize multilingual and code-switching Automatic Speech Recognition (ASR) systems. By adopting romanization encod…

eess.AS2024

Semi-supervised Learning for Code-Switching ASR with Large Language Model Filter

Yu Xi, Wen Ding, Kai Yu +1

Code-switching (CS) phenomenon occurs when words or phrases from different languages are alternated in a single sentence. Due to data scarcity, building an effective CS Automatic S…

cs.CL2024★ 11 cited

Gecko: Versatile Text Embeddings Distilled from Large Language Models

Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren +17

We present Gecko, a compact and versatile text embedding model. Gecko achieves strong retrieval performance by leveraging a key idea: distilling knowledge from large language model…

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