◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Zhihao Zhang

4 papers hereh-index 339 citations6 works total

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

author position
  • first author3
  • middle author1

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

fields
  • cs.CL4
same name
  • Zhihao Zhang — 17 papers, h 7
  • Zhihao Zhang — 9 papers, h 10
  • Zhihao Zhang — 8 papers, h 8
  • Zhihao Zhang — 6 papers, h 3
  • Zhihao Zhang — 6 papers, h 3
  • Zhihao Zhang — 6 papers, h 3

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 citedEnhancing Biomedical Lay Summarisation with External Knowledge Graphs

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2024

A Claim Decomposition Benchmark for Long-form Answer Verification

Zhihao Zhang, Yixing Fan, Ruqing Zhang +1

The advancement of LLMs has significantly boosted the performance of complex long-form question answering tasks. However, one prominent issue of LLMs is the generated "hallucinatio…

cs.CL2024

ATLAS: Improving Lay Summarisation with Attribute-based Control

Zhihao Zhang, Tomas Goldsack, Carolina Scarton +1

Lay summarisation aims to produce summaries of scientific articles that are comprehensible to non-expert audiences. However, previous work assumes a one-size-fits-all approach, whe…

cs.CL2023

Language Model as an Annotator: Unsupervised Context-aware Quality Phrase Generation

Zhihao Zhang, Yuan Zuo, Chenghua Lin +1

Phrase mining is a fundamental text mining task that aims to identify quality phrases from context. Nevertheless, the scarcity of extensive gold labels datasets, demanding substant…

cs.CL2023★ 1 cited

Enhancing Biomedical Lay Summarisation with External Knowledge Graphs

Tomas Goldsack, Zhihao Zhang, Chen Tang +2

Previous approaches for automatic lay summarisation are exclusively reliant on the source article that, given it is written for a technical audience (e.g., researchers), is unlikel…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.