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researcher

Yu Zhang

4 papers hereh-index 11k citations4 works total

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

author position
  • middle author1
  • last author1

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.AI1
same name
  • Yu Zhang — 139 papers, h 38
  • Yu Zhang — 75 papers, h 51
  • Yu Zhang — 54 papers, h 27
  • Yu Zhang — 50 papers
  • Yu Zhang — 32 papers, h 18
  • Yu Zhang — 25 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 citedSiren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

244 citations · 244 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning

Honglin Guo, Qi Zhang, Yu Zhang +6

Large language models are increasingly deployed as agents that reason over documents rather than answer from parametric knowledge. We study archive-grounded reasoning: locating spa…

cs.AI2026

Dr-DCI: Scaling Direct Corpus Interaction via Dynamic Workspace Expansion

Yi Lu, Zhuofeng Li, Ping Nie +7

Agentic search over large corpora relies on retriever-mediated interfaces (e.g., BM25 or ColBERT) for scalable candidate discovery. While effective at ranking relevant documents, t…

cs.CL2026

DimMem: Dimensional Structuring for Efficient Long-Term Agent Memory

Wentao Qiu, Haotian Hu, Fanyi Wang +2

Large language model (LLM) agents require long-term memory to leverage information from past interactions. However, existing memory systems often face a fidelity--efficiency trade-…

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…

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