WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code Article Swipe
Zhiyu Lin
,
Zhengda Zhou
,
Zhiyuan Zhao
,
Tao Wan
,
Yong Ma
,
Junyu Gao
,
Xuelong Li
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2025.findings-acl.815
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.18653/v1/2025.findings-acl.815
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18653/v1/2025.findings-acl.815
- https://aclanthology.org/2025.findings-acl.815.pdf
- OA Status
- gold
- Cited By
- 2
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412888064
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4412888064Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.18653/v1/2025.findings-acl.815Digital Object Identifier
- Title
-
WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-CodeWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-01Full publication date if available
- Authors
-
Zhiyu Lin, Zhengda Zhou, Zhiyuan Zhao, Tao Wan, Yong Ma, Junyu Gao, Xuelong LiList of authors in order
- Landing page
-
https://doi.org/10.18653/v1/2025.findings-acl.815Publisher landing page
- PDF URL
-
https://aclanthology.org/2025.findings-acl.815.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://aclanthology.org/2025.findings-acl.815.pdfDirect OA link when available
- Concepts
-
Benchmark (surveying), Computer science, Code (set theory), Programming language, Natural language processing, Artificial intelligence, Geodesy, Geography, Set (abstract data type)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4412888064 |
|---|---|
| doi | https://doi.org/10.18653/v1/2025.findings-acl.815 |
| ids.doi | https://doi.org/10.18653/v1/2025.findings-acl.815 |
| ids.openalex | https://openalex.org/W4412888064 |
| fwci | 9.63949029 |
| type | article |
| title | WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 15797 |
| biblio.first_page | 15780 |
| topics[0].id | https://openalex.org/T10028 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.954800009727478 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1702 |
| topics[0].subfield.display_name | Artificial Intelligence |
| topics[0].display_name | Topic Modeling |
| topics[1].id | https://openalex.org/T12031 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9473999738693237 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1702 |
| topics[1].subfield.display_name | Artificial Intelligence |
| topics[1].display_name | Speech and dialogue systems |
| topics[2].id | https://openalex.org/T10181 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9210000038146973 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | Natural Language Processing Techniques |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C185798385 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7560843229293823 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1161707 |
| concepts[0].display_name | Benchmark (surveying) |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.7258118391036987 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C2776760102 |
| concepts[2].level | 3 |
| concepts[2].score | 0.5603165626525879 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q5139990 |
| concepts[2].display_name | Code (set theory) |
| concepts[3].id | https://openalex.org/C199360897 |
| concepts[3].level | 1 |
| concepts[3].score | 0.43464595079421997 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[3].display_name | Programming language |
| concepts[4].id | https://openalex.org/C204321447 |
| concepts[4].level | 1 |
| concepts[4].score | 0.4086410701274872 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q30642 |
| concepts[4].display_name | Natural language processing |
| concepts[5].id | https://openalex.org/C154945302 |
| concepts[5].level | 1 |
| concepts[5].score | 0.3439907431602478 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[5].display_name | Artificial intelligence |
| concepts[6].id | https://openalex.org/C13280743 |
| concepts[6].level | 1 |
| concepts[6].score | 0.0 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q131089 |
| concepts[6].display_name | Geodesy |
| concepts[7].id | https://openalex.org/C205649164 |
| concepts[7].level | 0 |
| concepts[7].score | 0.0 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[7].display_name | Geography |
| concepts[8].id | https://openalex.org/C177264268 |
| concepts[8].level | 2 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1514741 |
| concepts[8].display_name | Set (abstract data type) |
| keywords[0].id | https://openalex.org/keywords/benchmark |
| keywords[0].score | 0.7560843229293823 |
| keywords[0].display_name | Benchmark (surveying) |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.7258118391036987 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/code |
| keywords[2].score | 0.5603165626525879 |
| keywords[2].display_name | Code (set theory) |
| keywords[3].id | https://openalex.org/keywords/programming-language |
| keywords[3].score | 0.43464595079421997 |
| keywords[3].display_name | Programming language |
| keywords[4].id | https://openalex.org/keywords/natural-language-processing |
| keywords[4].score | 0.4086410701274872 |
| keywords[4].display_name | Natural language processing |
| keywords[5].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[5].score | 0.3439907431602478 |
| keywords[5].display_name | Artificial intelligence |
| language | en |
| locations[0].id | doi:10.18653/v1/2025.findings-acl.815 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://aclanthology.org/2025.findings-acl.815.pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Findings of the Association for Computational Linguistics: ACL 2025 |
| locations[0].landing_page_url | https://doi.org/10.18653/v1/2025.findings-acl.815 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5069028297 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-8045-9556 |
| authorships[0].author.display_name | Zhiyu Lin |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Zhiyu Lin |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5018734183 |
| authorships[1].author.orcid | https://orcid.org/0009-0004-9348-5787 |
| authorships[1].author.display_name | Zhengda Zhou |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zhengda Zhou |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5079531245 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-1227-5058 |
| authorships[2].author.display_name | Zhiyuan Zhao |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Zhiyuan Zhao |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5041005536 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-2962-4066 |
| authorships[3].author.display_name | Tao Wan |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Tianrui Wan |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5100443236 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-4139-9711 |
| authorships[4].author.display_name | Yong Ma |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Yilun Ma |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5014526931 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-8105-5497 |
| authorships[5].author.display_name | Junyu Gao |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Junyu Gao |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5100740147 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-2843-9173 |
| authorships[6].author.display_name | Xuelong Li |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | Xuelong Li |
| authorships[6].is_corresponding | False |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://aclanthology.org/2025.findings-acl.815.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Code |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10028 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.954800009727478 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1702 |
| primary_topic.subfield.display_name | Artificial Intelligence |
| primary_topic.display_name | Topic Modeling |
| related_works | https://openalex.org/W2378211422, https://openalex.org/W4321353415, https://openalex.org/W2745001401, https://openalex.org/W2130974462, https://openalex.org/W2028665553, https://openalex.org/W2086519370, https://openalex.org/W4246352526, https://openalex.org/W2121910908, https://openalex.org/W915438175, https://openalex.org/W3204019825 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 2 |
| locations_count | 1 |
| best_oa_location.id | doi:10.18653/v1/2025.findings-acl.815 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://aclanthology.org/2025.findings-acl.815.pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | proceedings-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Findings of the Association for Computational Linguistics: ACL 2025 |
| best_oa_location.landing_page_url | https://doi.org/10.18653/v1/2025.findings-acl.815 |
| primary_location.id | doi:10.18653/v1/2025.findings-acl.815 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://aclanthology.org/2025.findings-acl.815.pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Findings of the Association for Computational Linguistics: ACL 2025 |
| primary_location.landing_page_url | https://doi.org/10.18653/v1/2025.findings-acl.815 |
| publication_date | 2025-01-01 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index | |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.9780059 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |