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Yan Liu

4 papers hereh-index 4656 citations6 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
same name
  • Yan Liu — 16 papers
  • Yan Liu — 15 papers, h 23
  • Yan Liu — 13 papers, h 43
  • Yan Liu — 12 papers, h 5
  • Yan Liu — 10 papers, h 5
  • Yan Liu — 9 papers, h 9

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

most citedEvaluating Large Language Models: A Comprehensive Survey

63 citations · 99 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CL2024

FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data

Haoran Sun, Renren Jin, Shaoyang Xu +10

Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource lan…

cs.CL2024

FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models

Yan Liu, Renren Jin, Ling Shi +2

To thoroughly assess the mathematical reasoning abilities of Large Language Models (LLMs), we need to carefully curate evaluation datasets covering diverse mathematical concepts an…

cs.CL2023★ 63 cited

Evaluating Large Language Models: A Comprehensive Survey

Zishan Guo, Renren Jin, Chuang Liu +8

Large language models (LLMs) have demonstrated remarkable capabilities across a broad spectrum of tasks. They have attracted significant attention and been deployed in numerous dow…

cs.CL2023★ 36 cited

Large Language Model Alignment: A Survey

Tianhao Shen, Renren Jin, Yufei Huang +6

Recent years have witnessed remarkable progress made in large language models (LLMs). Such advancements, while garnering significant attention, have concurrently elicited various c…

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