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Zhenyu Liu

17 papers hereh-index 10387 citations23 works total

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

author position
  • first author5
  • middle author12

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • cs.CV2
  • cs.IR1
  • cs.IT1
  • cs.SD1
same name
  • Zhenyu Liu — 7 papers, h 19
  • Zhenyu Liu — 7 papers, h 2
  • Zhenyu Liu — 7 papers, h 4
  • Zhenyu Liu — 6 papers, h 4
  • Zhenyu Liu — 5 papers, h 2
  • Zhenyu Liu — 4 papers, h 6

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 citedA Survey of Large Language Models Attribution

6 citations · 15 across the 17 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.CL2024

Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion

Xinping Zhao, Jindi Yu, Zhenyu Liu +5

As we all know, hallucinations prevail in Large Language Models (LLMs), where the generated content is coherent but factually incorrect, which inflicts a heavy blow on the widespre…

cs.IR2024★ 1 cited

FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG

Xinping Zhao, Yan Zhong, Zetian Sun +5

Retrieval-Augmented Generation (RAG) prevails in Large Language Models. It mainly consists of retrieval and generation. The retrieval modules (a.k.a. retrievers) aim to find useful…

cs.CL2024★ 1 cited

In-Context Learning State Vector with Inner and Momentum Optimization

Dongfang Li, Zhenyu Liu, Xinshuo Hu +3

Large Language Models (LLMs) have exhibited an impressive ability to perform In-Context Learning (ICL) from only a few examples. Recent works have indicated that the functions lear…

cs.CL2024★ 1 cited

Improving Attributed Text Generation of Large Language Models via Preference Learning

Dongfang Li, Zetian Sun, Baotian Hu +4

Large language models have been widely adopted in natural language processing, yet they face the challenge of generating unreliable content. Recent works aim to reduce misinformati…

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