{"id":"https://openalex.org/W4412888106","doi":"https://doi.org/10.18653/v1/2025.findings-acl.900","title":"ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation","display_name":"ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888106","doi":"https://doi.org/10.18653/v1/2025.findings-acl.900"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.900","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.900","pdf_url":"https://aclanthology.org/2025.findings-acl.900.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.900.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082594835","display_name":"Alireza Salemi","orcid":"https://orcid.org/0009-0006-1937-2615"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alireza Salemi","raw_affiliation_strings":["Center for Intelligent Information Retrieval University of Massachusetts Amherst"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Intelligent Information Retrieval University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066490162","display_name":"Julian Killingback","orcid":"https://orcid.org/0000-0003-2280-8759"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian Killingback","raw_affiliation_strings":["Center for Intelligent Information Retrieval University of Massachusetts Amherst"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Intelligent Information Retrieval University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101457713","display_name":"Hamed Zamani","orcid":"https://orcid.org/0000-0002-0800-3340"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hamed Zamani","raw_affiliation_strings":["Center for Intelligent Information Retrieval University of Massachusetts Amherst"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Intelligent Information Retrieval University of Massachusetts Amherst","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":null,"apc_paid":null,"fwci":4.9524,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95068007,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"17516","last_page":"17532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9939000010490417,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9939000010490417,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.982699990272522,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9707000255584717,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7487147450447083},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4417647421360016},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3582313656806946},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3339754641056061}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7487147450447083},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4417647421360016},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3582313656806946},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3339754641056061}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.900","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.900","pdf_url":"https://aclanthology.org/2025.findings-acl.900.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.900","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.900","pdf_url":"https://aclanthology.org/2025.findings-acl.900.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888106.pdf","grobid_xml":"https://content.openalex.org/works/W4412888106.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Evaluating":[0],"personalized":[1,39,82],"text":[2,40,83,119],"generated":[3,62],"by":[4,42],"large":[5],"language":[6],"models":[7],"(LLMs)":[8],"is":[9,31],"challenging,":[10],"as":[11],"only":[12],"the":[13,22,26,35,61,67,94,117,126],"LLM":[14,52],"user,":[15],"i.e.":[16],"prompt":[17],"author,":[18],"can":[19],"reliably":[20],"assess":[21],"output,":[23],"but":[24],"re-engaging":[25],"same":[27],"individuals":[28],"across":[29],"studies":[30],"infeasible.This":[32],"paper":[33],"addresses":[34],"challenge":[36],"of":[37,93,128,134],"evaluating":[38],"generation":[41,120],"introducing":[43],"ExPerT,":[44],"an":[45,51],"explainable":[46],"reference-based":[47],"evaluation":[48,95,121,141],"framework.ExPerT":[49],"leverages":[50],"to":[53,116],"extract":[54],"atomic":[55],"aspects":[56],"and":[57,63,69,76,99],"their":[58,71],"evidences":[59],"from":[60],"reference":[64],"texts,":[65],"match":[66],"aspects,":[68],"evaluate":[70],"alignment":[72,111],"based":[73],"on":[74],"content":[75],"writing":[77],"style-two":[78],"key":[79],"attributes":[80],"in":[81,110,139],"generation.Additionally,":[84],"ExPerT":[85,104],"generates":[86],"detailed,":[87],"fine-grained":[88],"explanations":[89,130],"for":[90],"every":[91],"step":[92],"process,":[96],"enhancing":[97],"transparency":[98],"interpretability.Our":[100],"experiments":[101],"demonstrate":[102],"that":[103],"achieves":[105],"a":[106],"7.2%":[107],"relative":[108],"improvement":[109],"with":[112],"human":[113,123],"judgments":[114],"compared":[115],"state-of-the-art":[118],"methods.Furthermore,":[122],"evaluators":[124],"rated":[125],"usability":[127],"ExPerT's":[129],"at":[131],"4.7":[132],"out":[133],"5,":[135],"highlighting":[136],"its":[137],"effectiveness":[138],"making":[140],"decisions":[142],"more":[143],"interpretable.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
