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Yulong Chen

University of Cambridge

19 papers hereh-index 121.9k citations27 works total

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

author position
  • first author7
  • middle author12

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CL18
  • cs.HC1
affiliations
  • University of Cambridge
same name
  • Yulong Chen — 9 papers, h 5
  • Yulong Chen — 6 papers, h 3
  • Yulong Chen — 3 papers, h 2
  • Yulong Chen — 3 papers, h 3
  • Yulong Chen — 1 paper
  • Yulong Chen — 1 paper

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
20212026
most citedSiren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

244 citations · 300 across the 19 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023

Constituency Parsing using LLMs

Xuefeng Bai, Jialong Wu, Yulong Chen +4

Constituency parsing is a fundamental yet unsolved challenge in natural language processing. In this paper, we examine the potential of recent large language models (LLMs) to addre…

cs.CL2023★ 244 cited

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Yue Zhang, Yafu Li, Leyang Cui +13

While large language models (LLMs) have demonstrated remarkable capabilities across a range of downstream tasks, a significant concern revolves around their propensity to exhibit h…

cs.CL2023

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation

Yulong Chen, Huajian Zhang, Yijie Zhou +8

Most existing cross-lingual summarization (CLS) work constructs CLS corpora by simply and directly translating pre-annotated summaries from one language to another, which can conta…

cs.HC2023

EASE: An Easily-Customized Annotation System Powered by Efficiency Enhancement Mechanisms

Naihao Deng, Yikai Liu, Mingye Chen +5

The performance of current supervised AI systems is tightly connected to the availability of annotated datasets. Annotations are usually collected through annotation tools, which a…

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