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Zeqi Lin

23 papers hereh-index 235.4k citations35 works total

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

author position
  • middle author21
  • last author1

Across the 22 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CL17
  • cs.SE3
  • cs.AI1
  • cs.LG1
  • cs.PL1
same name
  • Zeqi Lin — 2 papers, h 3
  • Zeqi Lin — 2 papers, h 1

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
20202025
most citedPhi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

163 citations · 476 across the 23 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CL2020

Iterative Utterance Segmentation for Neural Semantic Parsing

Yinuo Guo, Zeqi Lin, Jian-Guang Lou +1

Neural semantic parsers usually fail to parse long and complex utterances into correct meaning representations, due to the lack of exploiting the principle of compositionality. To…

cs.CL2020★ 5 cited

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

Yinuo Guo, Hualei Zhu, Zeqi Lin +3

Human intelligence exhibits compositional generalization (i.e., the capacity to understand and produce unseen combinations of seen components), but current neural seq2seq models la…

cs.CL2020★ 18 cited

Hierarchical Poset Decoding for Compositional Generalization in Language

Yinuo Guo, Zeqi Lin, Jian-Guang Lou +1

We formalize human language understanding as a structured prediction task where the output is a partially ordered set (poset). Current encoder-decoder architectures do not take the…

cs.AI2020★ 29 cited

Compositional Generalization by Learning Analytical Expressions

Qian Liu, Shengnan An, Jian-Guang Lou +6

Compositional generalization is a basic and essential intellective capability of human beings, which allows us to recombine known parts readily. However, existing neural network ba…

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