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Zihan Zhang

6 papers hereh-index 3191 citations6 works total

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

author position
  • middle author6

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

fields
  • cs.CL4
  • cs.SD2
same name
  • Zihan Zhang — 18 papers, h 13
  • Zihan Zhang — 17 papers, h 6
  • Zihan Zhang — 16 papers, h 14
  • Zihan Zhang — 15 papers, h 5
  • Zihan Zhang — 11 papers, h 8
  • Zihan Zhang — 9 papers, h 8

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
20212023
most citedPromptBERT: Improving BERT Sentence Embeddings with Prompts

12 citations · 13 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2023★ 1 cited

Dual-Alignment Pre-training for Cross-lingual Sentence Embedding

Ziheng Li, Shaohan Huang, Zihan Zhang +7

Recent studies have shown that dual encoder models trained with the sentence-level translation ranking task are effective methods for cross-lingual sentence embedding. However, our…

cs.CL2023

Pre-training Language Model as a Multi-perspective Course Learner

Beiduo Chen, Shaohan Huang, Zihan Zhang +6

ELECTRA, the generator-discriminator pre-training framework, has achieved impressive semantic construction capability among various downstream tasks. Despite the convincing perform…

cs.CL2022★ 12 cited

PromptBERT: Improving BERT Sentence Embeddings with Prompts

Ting Jiang, Jian Jiao, Shaohan Huang +7

We propose PromptBERT, a novel contrastive learning method for learning better sentence representation. We firstly analyze the drawback of current sentence embedding from original…

cs.CL2021

Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks

Zhiliang Tian, Wei Bi, Zihan Zhang +3

Personalized conversation models (PCMs) generate responses according to speaker preferences. Existing personalized conversation tasks typically require models to extract speaker pr…

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