{"id":"https://openalex.org/W7154300191","doi":"https://doi.org/10.48550/arxiv.2604.11246","title":"Judge Like Human Examiners: A Weighted Importance Multi-Point Evaluation Framework for Generative Tasks with Long-form Answers","display_name":"Judge Like Human Examiners: A Weighted Importance Multi-Point Evaluation Framework for Generative Tasks with Long-form Answers","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154300191","doi":"https://doi.org/10.48550/arxiv.2604.11246"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.11246","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.11246","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133586788","display_name":"Guoxin Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yu, Guoxin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056683457","display_name":"Chulun Zhou","orcid":"https://orcid.org/0000-0002-1544-817X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Chulun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133577277","display_name":"Lemao Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Lemao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133558879","display_name":"Qi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Qi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133559754","display_name":"Mo Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Mo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133557264","display_name":"Jialong Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Jialong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133581226","display_name":"Baosong Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Baosong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133619584","display_name":"Xiang Ao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ao, Xiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Lam, Wai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lam, Wai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133626180","display_name":"Yue Yu","orcid":"https://orcid.org/0009-0004-3411-7650"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Yue","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5133586788"],"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/T10028","display_name":"Topic Modeling","score":0.8794999718666077,"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":0.8794999718666077,"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":0.04450000077486038,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.008500000461935997,"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/generative-grammar","display_name":"Generative grammar","score":0.7425000071525574},{"id":"https://openalex.org/keywords/rubric","display_name":"Rubric","score":0.6759999990463257},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5906000137329102},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5199999809265137},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.492000013589859},{"id":"https://openalex.org/keywords/contradiction","display_name":"Contradiction","score":0.3917999863624573},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.3206000030040741}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7425000071525574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7023000121116638},{"id":"https://openalex.org/C111640148","wikidata":"https://www.wikidata.org/wiki/Q847349","display_name":"Rubric","level":2,"score":0.6759999990463257},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5906000137329102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5900999903678894},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5199999809265137},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.492000013589859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4708999991416931},{"id":"https://openalex.org/C2776728590","wikidata":"https://www.wikidata.org/wiki/Q363948","display_name":"Contradiction","level":2,"score":0.3917999863624573},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.3206000030040741},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29319998621940613},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.2921999990940094},{"id":"https://openalex.org/C3020001037","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assessment","level":3,"score":0.273499995470047},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.25450000166893005}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.11246","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.11246","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.11246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.683957040309906}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Evaluating":[0],"the":[1,15,66,115],"quality":[2],"of":[3,69,72],"model":[4,120],"responses":[5,121],"remains":[6],"challenging":[7],"in":[8,59],"generative":[9,129],"tasks":[10,130],"with":[11,137],"long-form":[12],"answers,":[13],"as":[14],"expected":[16],"answers":[17],"usually":[18],"contain":[19],"multiple":[20],"semantically":[21],"distinct":[22],"yet":[23],"complementary":[24,99],"factors":[25],"that":[26,132],"should":[27],"be":[28],"factorized":[29],"for":[30],"fine-grained":[31],"assessment.":[32],"Recent":[33],"evaluation":[34],"methods":[35],"resort":[36],"to":[37,51,64,113],"relying":[38],"on":[39,127],"either":[40],"task-level":[41],"rubrics":[42],"or":[43],"question-aware":[44],"checklists.":[45],"However,":[46],"they":[47],"still":[48],"1)":[49],"struggle":[50],"assess":[52],"whether":[53],"a":[54,81],"response":[55],"is":[56],"genuinely":[57],"grounded":[58],"provided":[60],"contexts;":[61],"2)":[62],"fail":[63],"capture":[65],"heterogeneous":[67],"importance":[68],"different":[70],"aspects":[71],"reference":[73,91,123],"answers.":[74,124],"Inspired":[75],"by":[76],"human":[77,138],"examiners,":[78],"we":[79],"propose":[80],"Weighted":[82,102],"Importance":[83],"Multi-Point":[84],"Evaluation":[85],"(WIMPE)":[86],"framework,":[87],"which":[88],"factorizes":[89],"each":[90],"answer":[92],"into":[93],"weighted":[94],"context-bound":[95],"scoring":[96],"points.":[97],"Two":[98],"metrics,":[100],"namely":[101],"Point-wise":[103,107],"Alignment":[104],"(WPA)":[105],"and":[106,117,122],"Conflict":[108],"Penalty":[109],"(PCP),":[110],"are":[111],"designed":[112],"measure":[114],"alignment":[116],"contradiction":[118],"between":[119],"Extensive":[125],"experiments":[126],"10":[128],"demonstrate":[131],"WIMPE":[133],"achieves":[134],"higher":[135],"correlations":[136],"annotations.":[139]},"counts_by_year":[],"updated_date":"2026-04-16T06:03:46.269776","created_date":"2026-04-15T00:00:00"}
