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Yiming Cui

iFLYTEK Research

49 papers hereh-index 235.4k citations64 works total

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

author position
  • first author21
  • middle author27

Across the 48 of 49 papers where every author was matched, so the position is known.

fields
  • cs.CL47
  • cs.AI1
  • cs.CV1
affiliations
  • iFLYTEK Research
Homepage
same name
  • Yiming Cui — 21 papers, h 19
  • Yiming Cui — 13 papers, h 8
  • Yiming Cui — 7 papers, h 3
  • Yiming Cui — 2 papers, h 1
  • Yiming Cui — 1 paper
  • Yiming Cui — 1 paper, h 2

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
20152026
most citedPre-Training with Whole Word Masking for Chinese BERT

1.2k citations · 2.6k across the 49 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024★ 15 cited

A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation

Wei-Nan Zhang, Yiming Cui, Kaiyan Zhang +4

Recently, research on open domain dialogue systems have attracted extensive interests of academic and industrial researchers. The goal of an open domain dialogue system is to imita…

cs.CL2024

Visualizing attention zones in machine reading comprehension models

Yiming Cui, Wei-Nan Zhang, Ting Liu

The attention mechanism plays an important role in the machine reading comprehension (MRC) model. Here, we describe a pipeline for building an MRC model with a pretrained language…

cs.CL2024

Self-Evolving GPT: A Lifelong Autonomous Experiential Learner

Jinglong Gao, Xiao Ding, Yiming Cui +4

To improve the performance of large language models (LLMs), researchers have explored providing LLMs with textual task-solving experience via prompts. However, they rely on manual…

cs.CL2024

Rethinking LLM Language Adaptation: A Case Study on Chinese Mixtral

Yiming Cui, Xin Yao

Mixtral, a representative sparse mixture of experts (SMoE) language model, has received significant attention due to its unique model design and superior performance. Based on Mixt…

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