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Wei Peng

Institute of Information Engineering, Chinese Academy of Sciences

14 papers hereh-index 7264 citations26 works total

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

author position
  • first author7
  • middle author3
  • last author4

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL13
  • cs.HC1
affiliations
  • Institute of Information Engineering, Chinese Academy of Sciences
Homepage
same name
  • Wei Peng — 38 papers, h 56
  • Wei Peng — 14 papers, h 5
  • Wei Peng — 11 papers, h 15
  • Wei Peng — 8 papers, h 23
  • Wei Peng — 8 papers, h 6
  • Wei Peng — 7 papers, h 9

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
20202023
most citedPsychology-guided Controllable Story Generation

5 citations · 12 across the 14 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CL2021

Coarse-to-Careful: Seeking Semantic-related Knowledge for Open-domain Commonsense Question Answering

Luxi Xing, Yue Hu, Jing Yu +2

It is prevalent to utilize external knowledge to help machine answer questions that need background commonsense, which faces a problem that unlimited knowledge will transmit noisy…

cs.CL2021★ 1 cited

MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension

Wei Peng, Yue Hu, Jing Yu +4

Question answering systems usually use keyword searches to retrieve potential passages related to a question, and then extract the answer from passages with the machine reading com…

cs.CL2021

IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation

Yuqiang Xie, Luxi Xing, Wei Peng +1

This paper introduces our systems for all three subtasks of SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. To help our model better represent and understand abstra…

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