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Liang Chen

10 papers here

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

author position
  • first author2
  • middle author8

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.LG3
  • cs.CV2
  • cs.IR1
ORCID 0000-0001-6644-477X
same name
  • Liang Chen — 12 papers, h 28
  • Liang Chen — 12 papers, h 9
  • Liang Chen — 8 papers, h 16
  • Liang Chen — 7 papers
  • Liang Chen — 6 papers, h 6
  • Liang Chen — 6 papers, h 18

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 citedSymbolic Discovery of Optimization Algorithms

168 citations · 178 across the 10 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2024

Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation

Haozhe Zhao, Zefan Cai, Shuzheng Si +4

Large-scale multilingual Pretrained Language Models (mPLMs) yield impressive performance on cross-language tasks, yet significant performance disparities exist across different lan…

cs.CL2023

Guiding AMR Parsing with Reverse Graph Linearization

Bofei Gao, Liang Chen, Peiyi Wang +2

Abstract Meaning Representation (AMR) parsing aims to extract an abstract semantic graph from a given sentence. The sequence-to-sequence approaches, which linearize the semantic gr…

cs.CL2023★ 9 cited

HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers

Chen Liang, Haoming Jiang, Zheng Li +3

Knowledge distillation has been shown to be a powerful model compression approach to facilitate the deployment of pre-trained language models in practice. This paper focuses on tas…

cs.CL2016

Definition Modeling: Learning to define word embeddings in natural language

Thanapon Noraset, Chen Liang, Larry Birnbaum +1

Distributed representations of words have been shown to capture lexical semantics, as demonstrated by their effectiveness in word similarity and analogical relation tasks. But, the…

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