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researcher

Wei Xu

30 papers hereh-index 447.4k citations547 works total

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

author position
  • middle author16
  • last author14

Across the 30 of 30 papers where every author was matched, so the position is known.

fields
  • cs.CL23
  • cs.IR2
  • cs.CR1
  • cs.CY1
  • cs.IT1
  • cs.LG1
same name
  • Wei Xu — 54 papers, h 63
  • Wei Xu — 43 papers, h 31
  • Wei Xu — 41 papers, h 44
  • Wei Xu — 37 papers, h 45
  • Wei Xu — 19 papers, h 10
  • Wei Xu — 19 papers, h 14

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
20162023
most citedNeural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering

113 citations · 220 across the 29 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CL2021

BiSECT: Learning to Split and Rephrase Sentences with Bitexts

Joongwon Kim, Mounica Maddela, Reno Kriz +2

An important task in NLP applications such as sentence simplification is the ability to take a long, complex sentence and split it into shorter sentences, rephrasing as necessary.…

cs.CL2021★ 2 cited

Pre-train or Annotate? Domain Adaptation with a Constrained Budget

Fan Bai, Alan Ritter, Wei Xu

Recent work has demonstrated that pre-training in-domain language models can boost performance when adapting to a new domain. However, the costs associated with pre-training raise…

cs.IR2021★ 1 cited

Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need

Zhengyi Ma, Zhicheng Dou, Wei Xu +4

Designing pre-training objectives that more closely resemble the downstream tasks for pre-trained language models can lead to better performance at the fine-tuning stage, especiall…

cs.CL2021★ 1 cited

Neural semi-Markov CRF for Monolingual Word Alignment

Wuwei Lan, Chao Jiang, Wei Xu

Monolingual word alignment is important for studying fine-grained editing operations (i.e., deletion, addition, and substitution) in text-to-text generation tasks, such as paraphra…

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