{"id":"https://openalex.org/W4416037872","doi":"https://doi.org/10.18653/v1/2025.emnlp-demos.19","title":"PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation","display_name":"PromptSuite: A Task-Agnostic Framework for Multi-Prompt Generation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416037872","doi":"https://doi.org/10.18653/v1/2025.emnlp-demos.19"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.emnlp-demos.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-demos.19","pdf_url":"https://aclanthology.org/2025.emnlp-demos.19.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.emnlp-demos.19.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091921041","display_name":"Eliya Habba","orcid":"https://orcid.org/0009-0001-3472-0650"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Eliya Habba","raw_affiliation_strings":["The Hebrew University of Jerusalem"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hebrew University of Jerusalem","institution_ids":["https://openalex.org/I197251160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114655779","display_name":"Noam Dahan","orcid":null},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Noam Dahan","raw_affiliation_strings":["The Hebrew University of Jerusalem"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hebrew University of Jerusalem","institution_ids":["https://openalex.org/I197251160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092031150","display_name":"Gili Lior","orcid":null},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Gili Lior","raw_affiliation_strings":["The Hebrew University of Jerusalem"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hebrew University of Jerusalem","institution_ids":["https://openalex.org/I197251160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082136238","display_name":"Gabriel Stanovsky","orcid":"https://orcid.org/0000-0002-2420-8979"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Gabriel Stanovsky","raw_affiliation_strings":["The Hebrew University of Jerusalem"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hebrew University of Jerusalem","institution_ids":["https://openalex.org/I197251160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197251160"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"254","last_page":"263"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.09570000320672989,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.09570000320672989,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.0803999975323677,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.07829999923706055,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/context","display_name":"Context (archaeology)","score":0.25189998745918274},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.2515999972820282},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.24369999766349792},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2378000020980835},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.23600000143051147}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46889999508857727},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.25189998745918274},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2515999972820282},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.24369999766349792},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2378000020980835},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.23600000143051147},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.23389999568462372},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.22599999606609344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22599999606609344},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.21879999339580536}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.emnlp-demos.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-demos.19","pdf_url":"https://aclanthology.org/2025.emnlp-demos.19.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.emnlp-demos.19","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-demos.19","pdf_url":"https://aclanthology.org/2025.emnlp-demos.19.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416037872.pdf","grobid_xml":"https://content.openalex.org/works/W4416037872.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Evaluating":[0],"LLMs":[1],"with":[2,9],"a":[3,23,40,58,66,88],"single":[4],"prompt":[5,19,68],"has":[6],"proven":[7],"unreliable,":[8],"small":[10],"changes":[11],"leading":[12],"to":[13,73,100],"significant":[14],"performance":[15],"differences.However,":[16],"generating":[17],"the":[18,44,55,80,107],"variations":[20,99],"needed":[21],"for":[22],"more":[24],"robust":[25],"multi-prompt":[26],"evaluation":[27,103],"is":[28,50,77],"challenging,":[29],"limiting":[30],"its":[31],"adoption":[32],"in":[33],"practice.To":[34],"address":[35],"this,":[36],"we":[37,93],"introduce":[38],"PromptSuite,":[39],"framework":[41],"that":[42,95],"enables":[43],"automatic":[45],"generation":[46],"of":[47,54,61,82,90],"various":[48],"prompts.PromptSuite":[49],"flexible":[51],"-working":[52],"out":[53],"box":[56],"on":[57],"wide":[59],"range":[60],"tasks":[62],"and":[63,76,85,115],"benchmarks.It":[64],"follows":[65],"modular":[67],"design,":[69],"allowing":[70],"controlled":[71],"perturbations":[72],"each":[74],"component,":[75],"extensible,":[78],"supporting":[79],"addition":[81],"new":[83],"components":[84],"perturbation":[86],"types.Through":[87],"series":[89],"case":[91],"studies,":[92],"show":[94],"PromptSuite":[96],"provides":[97],"meaningful":[98],"support":[101],"strong":[102],"practices.All":[104],"resources,":[105],"including":[106],"Python":[108],"API,":[109],"source":[110],"code,":[111],"user-friendly":[112],"web":[113],"interface,":[114],"demonstration":[116],"video,":[117],"are":[118],"available":[119],"at:":[120],"https://eliyahabba.github.":[121],"io/PromptSuite/.":[122]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-08T00:00:00"}
