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Jianming Zheng

4 papers hereh-index 14706 citations39 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.IR2
  • cs.AI1
  • cs.CL1
same name
  • Jianming Zheng — 4 papers, h 4
  • Jianming Zheng — 2 papers, h 2
  • Jianming Zheng — 1 paper
  • Jianming Zheng — 1 paper
  • Jianming Zheng — 1 paper, h 71
  • Jianming Zheng — 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
20192023
most citedMsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

cs.IR2023

Disentangled Variational Auto-encoder Enhanced by Counterfactual Data for Debiasing Recommendation

Yupu Guo, Fei Cai, Xin Zhanga +2

Recommender system always suffers from various recommendation biases, seriously hindering its development. In this light, a series of debias methods have been proposed in the recom…

cs.CL2023★ 1 cited

MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection

Siyuan Wang, Jianming Zheng, Xuejun Hu +3

Event detection (ED) is aimed to identify the key trigger words in unstructured text and predict the event types accordingly. Traditional ED models are too data-hungry to accommoda…

cs.AI2021

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering

Fengbin Zhu, Wenqiang Lei, Chao Wang +3

Open-domain Question Answering (OpenQA) is an important task in Natural Language Processing (NLP), which aims to answer a question in the form of natural language based on large-sc…

cs.IR2019

Pre-train, Interact, Fine-tune: A Novel Interaction Representation for Text Classification

Jianming Zheng, Fei Cai, Honghui Chen +1

Text representation can aid machines in understanding text. Previous work on text representation often focuses on the so-called forward implication, i.e., preceding words are taken…

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