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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 2024Show all

3 papers · 1 filter

cs.CL2024★ 1 cited

Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels

Jianhao Yan, Pingchuan Yan, Yulong Chen +3

This study presents a comprehensive evaluation of GPT-4's translation capabilities compared to human translators of varying expertise levels. Through systematic human evaluation us…

cs.CL2024★ 2 cited

See What LLMs Cannot Answer: A Self-Challenge Framework for Uncovering LLM Weaknesses

Yulong Chen, Yang Liu, Jianhao Yan +6

The impressive performance of Large Language Models (LLMs) has consistently surpassed numerous human-designed benchmarks, presenting new challenges in assessing the shortcomings of…

cs.CL2024★ 8 cited

GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels

Jianhao Yan, Pingchuan Yan, Yulong Chen +3

This study comprehensively evaluates the translation quality of Large Language Models (LLMs), specifically GPT-4, against human translators of varying expertise levels across multi…

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