{"id":"https://openalex.org/W7106295310","doi":"https://doi.org/10.48550/arxiv.2511.14967","title":"MermaidSeqBench: An Evaluation Benchmark for NL-to-Mermaid Sequence Diagram Generation","display_name":"MermaidSeqBench: An Evaluation Benchmark for NL-to-Mermaid Sequence Diagram Generation","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7106295310","doi":"https://doi.org/10.48550/arxiv.2511.14967"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2511.14967","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.14967","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2511.14967","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Shbita, Basel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shbita, Basel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ahmed, Farhan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmed, Farhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"DeLuca, Chad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"DeLuca, Chad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.25870001316070557,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.25870001316070557,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.2012999951839447,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.19220000505447388,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.8366000056266785},{"id":"https://openalex.org/keywords/sequence-diagram","display_name":"Sequence diagram","score":0.7595000267028809},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6140999794006348},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5641000270843506},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.5454000234603882},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4984999895095825},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4844000041484833},{"id":"https://openalex.org/keywords/abstract-syntax","display_name":"Abstract syntax","score":0.46209999918937683}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.8366000056266785},{"id":"https://openalex.org/C153185123","wikidata":"https://www.wikidata.org/wiki/Q1391624","display_name":"Sequence diagram","level":4,"score":0.7595000267028809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487000226974487},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6140999794006348},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5641000270843506},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5454000234603882},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4984999895095825},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C114408938","wikidata":"https://www.wikidata.org/wiki/Q333373","display_name":"Abstract syntax","level":3,"score":0.46209999918937683},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.4343999922275543},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.41940000653266907},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.3752000033855438},{"id":"https://openalex.org/C202446494","wikidata":"https://www.wikidata.org/wiki/Q664166","display_name":"Class diagram","level":4,"score":0.35190001130104065},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3490999937057495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3305000066757202},{"id":"https://openalex.org/C186399060","wikidata":"https://www.wikidata.org/wiki/Q959962","display_name":"Diagram","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30970001220703125},{"id":"https://openalex.org/C48419115","wikidata":"https://www.wikidata.org/wiki/Q950859","display_name":"Communication diagram","level":5,"score":0.29330000281333923},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2915000021457672},{"id":"https://openalex.org/C168054591","wikidata":"https://www.wikidata.org/wiki/Q17152869","display_name":"Story-driven modeling","level":5,"score":0.2768000066280365},{"id":"https://openalex.org/C145644426","wikidata":"https://www.wikidata.org/wiki/Q169411","display_name":"Unified Modeling Language","level":3,"score":0.27390000224113464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25519999861717224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2511.14967","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.14967","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2511.14967","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2511.14967","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1,14,70],"models":[2,43,142],"(LLMs)":[3],"have":[4],"shown":[5],"great":[6],"promise":[7],"in":[8,44,63],"generating":[9,64],"structured":[10,152],"diagrams":[11,19,67],"from":[12,68],"natural":[13,69],"descriptions,":[15],"particularly":[16],"Mermaid":[17,65],"sequence":[18,66],"for":[20,59,150,161],"software":[21,163],"engineering.":[22],"However,":[23],"the":[24,31,38,117,157],"lack":[25],"of":[26,41,75,83,121],"existing":[27],"benchmarks":[28],"to":[29,97],"assess":[30,98],"LLM's":[32],"correctness":[33,158],"on":[34,128],"this":[35,49],"task":[36],"hinders":[37],"reliable":[39],"deployment":[40],"these":[42],"production":[45],"environments.":[46],"To":[47,115],"address":[48],"shortcoming,":[50],"we":[51,124],"introduce":[52],"MermaidSeqBench,":[53],"a":[54,80,148],"human-verified":[55,84],"and":[56,88,112,119,143,155],"LLM-synthetically-extended":[57],"benchmark":[58,73],"assessing":[60],"LLM":[61,134],"capabilities":[62],"prompts.":[71],"The":[72,91],"consists":[74],"132":[76],"samples":[77],"developed":[78],"via":[79],"hybrid":[81],"methodology":[82],"flows,":[85],"LLM-based":[86],"augmentation,":[87],"rule-based":[89],"expansion.":[90],"evaluation":[92,144],"uses":[93],"an":[94],"LLM-as-a-judge":[95],"model":[96],"generation":[99,154],"across":[100,141],"various":[101],"fine-grained":[102],"metrics":[103],"such":[104],"as":[105],"syntax":[106],"correctness,":[107],"activation":[108],"handling,":[109,111],"error":[110],"practical":[113],"usability.":[114],"demonstrate":[116],"effectiveness":[118],"flexibility":[120],"our":[122],"benchmark,":[123],"perform":[125],"initial":[126],"evaluations":[127],"numerous":[129],"state-of-the-art":[130],"LLMs":[131],"with":[132],"multiple":[133],"judges":[135],"which":[136],"reveal":[137],"significant":[138],"capability":[139],"gaps":[140],"modes.":[145],"MermaidSeqBench":[146],"provides":[147],"foundation":[149],"evaluating":[151],"diagram":[153],"establishes":[156],"standards":[159],"needed":[160],"real-world":[162],"engineering":[164],"deployment.":[165]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-11-23T00:00:00"}