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Zihang Xu

iFlytek Research

4 papers hereh-index 358 citations8 works total

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.CL4
affiliations
  • iFlytek Research
same name
  • Zihang Xu — 9 papers, h 4
  • Zihang Xu — 6 papers, h 2
  • Zihang Xu — 1 paper, h 0
  • Zihang Xu — 1 paper, h 0
  • Zihang Xu — 1 paper, h 6

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 citedCINO: A Chinese Minority Pre-trained Language Model

10 citations · 10 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023

Generative Input: Towards Next-Generation Input Methods Paradigm

Keyu Ding, Yongcan Wang, Zihang Xu +4

Since the release of ChatGPT, generative models have achieved tremendous success and become the de facto approach for various NLP tasks. However, its application in the field of in…

cs.CL2023

IDOL: Indicator-oriented Logic Pre-training for Logical Reasoning

Zihang Xu, Ziqing Yang, Yiming Cui +1

In the field of machine reading comprehension (MRC), existing systems have surpassed the average performance of human beings in many tasks like SQuAD. However, there is still a lon…

cs.CL2022

HFL at SemEval-2022 Task 8: A Linguistics-inspired Regression Model with Data Augmentation for Multilingual News Similarity

Zihang Xu, Ziqing Yang, Yiming Cui +1

This paper describes our system designed for SemEval-2022 Task 8: Multilingual News Article Similarity. We proposed a linguistics-inspired model trained with a few task-specific st…

cs.CL2022★ 10 cited

CINO: A Chinese Minority Pre-trained Language Model

Ziqing Yang, Zihang Xu, Yiming Cui +4

Multilingual pre-trained language models have shown impressive performance on cross-lingual tasks. It greatly facilitates the applications of natural language processing on low-res…

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