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Can Xu

Microsoft AI

43 papers hereh-index 307.3k citations56 works total

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

author position
  • first author2
  • middle author33
  • last author1

Across the 36 of 43 papers where every author was matched, so the position is known.

fields
  • cs.CL36
  • cs.IR4
  • cs.CV2
  • cs.HC1
affiliations
  • Microsoft AI
same name
  • Can Xu — 13 papers, h 16
  • Can Xu — 12 papers, h 14
  • Can Xu — 11 papers, h 4
  • Can Xu — 9 papers, h 1
  • Can Xu — 6 papers, h 3
  • Can Xu — 5 papers, h 4

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
20162024
most citedPhi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

163 citations · 753 across the 42 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019★ 1 cited

Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation

Ze Yang, Can Xu, Wei Wu +1

Automatic news comment generation is a new testbed for techniques of natural language generation. In this paper, we propose a "read-attend-comment" procedure for news comment gener…

cs.CL2019★ 5 cited

Low-Resource Response Generation with Template Prior

Ze Yang, Wei Wu, Jian Yang +2

We study open domain response generation with limited message-response pairs. The problem exists in real-world applications but is less explored by the existing work. Since the pai…

cs.CL2019★ 6 cited

Neural Response Generation with Meta-Words

Can Xu, Wei Wu, Chongyang Tao +3

We present open domain response generation with meta-words. A meta-word is a structured record that describes various attributes of a response, and thus allows us to explicitly mod…

cs.CL2019★ 5 cited

A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots

Xueliang Zhao, Chongyang Tao, Wei Wu +3

We present a document-grounded matching network (DGMN) for response selection that can power a knowledge-aware retrieval-based chatbot system. The challenges of building such a mod…

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