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Yang Xu

9 papers hereh-index 7164 citations15 works total

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

author position
  • first author1
  • middle author7
  • last author1

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.AI1
  • cs.IR1
  • cs.SE1
same name
  • Yang Xu — 21 papers, h 49
  • Yang Xu — 19 papers, h 14
  • Yang Xu — 19 papers, h 14
  • Yang Xu — 17 papers, h 41
  • Yang Xu — 16 papers, h 25
  • Yang Xu — 16 papers, h 4

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
20232026
most citedParaphrase Types Elicit Prompt Engineering Capabilities

6 citations · 15 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.IR2024★ 1 cited

OpenResearcher: Unleashing AI for Accelerated Scientific Research

Yuxiang Zheng, Shichao Sun, Lin Qiu +13

The rapid growth of scientific literature imposes significant challenges for researchers endeavoring to stay updated with the latest advancements in their fields and delve into new…

cs.CL2024★ 6 cited

Paraphrase Types Elicit Prompt Engineering Capabilities

Jan Philip Wahle, Terry Ruas, Yang Xu +1

Much of the success of modern language models depends on finding a suitable prompt to instruct the model. Until now, it has been largely unknown how variations in the linguistic ex…

cs.CL2024★ 3 cited

RefChecker: Reference-based Fine-grained Hallucination Checker and Benchmark for Large Language Models

Xiangkun Hu, Dongyu Ru, Lin Qiu +7

Large Language Models (LLMs) have shown impressive capabilities but also a concerning tendency to hallucinate. This paper presents RefChecker, a framework that introduces claim-tri…

cs.CL2024★ 4 cited

MULTI: Multimodal Understanding Leaderboard with Text and Images

Zichen Zhu, Yang Xu, Lu Chen +11

The rapid development of multimodal large language models (MLLMs) raises the question of how they compare to human performance. While existing datasets often feature synthetic or o…

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