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Tian Lan

Beijing Institute of Technology

9 papers hereh-index 6520 citations10 works total

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

author position
  • first author6
  • middle author3

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL8
  • cs.CV1
affiliations
  • Beijing Institute of Technology
Homepage
same name
  • Tian Lan — 23 papers, h 13
  • Tian Lan — 18 papers, h 3
  • Tian Lan — 17 papers, h 24
  • Tian Lan — 16 papers, h 7
  • Tian Lan — 11 papers, h 4
  • Tian Lan — 10 papers, h 19

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 citedA Contrastive Framework for Neural Text Generation

83 citations · 148 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.CL2020★ 1 cited

Self-attention Comparison Module for Boosting Performance on Retrieval-based Open-Domain Dialog Systems

Tian Lan, Xian-Ling Mao, Zhipeng Zhao +2

Since the pre-trained language models are widely used, retrieval-based open-domain dialog systems, have attracted considerable attention from researchers recently. Most of the prev…

cs.CL2020★ 6 cited

Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic Hashing

Tian Lan, Xian-Ling Mao, Xiaoyan Gao +2

We study the coarse-grained selection module in retrieval-based chatbot. Coarse-grained selection is a basic module in a retrieval-based chatbot, which constructs a rough candidate…

cs.CL2020★ 16 cited

PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems

Tian Lan, Xian-Ling Mao, Wei Wei +2

Open-domain generative dialogue systems have attracted considerable attention over the past few years. Currently, how to automatically evaluate them, is still a big challenge probl…

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