{"id":"https://openalex.org/W4412673532","doi":"https://doi.org/10.1145/3731120.3744574","title":"Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications","display_name":"Reliable Annotations with Less Effort: Evaluating LLM-Human Collaboration in Search Clarifications","publication_year":2025,"publication_date":"2025-07-18","ids":{"openalex":"https://openalex.org/W4412673532","doi":"https://doi.org/10.1145/3731120.3744574"},"language":"en","primary_location":{"id":"doi:10.1145/3731120.3744574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731120.3744574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.00543","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017632892","display_name":"Leila Tavakoli","orcid":"https://orcid.org/0000-0002-5951-4052"},"institutions":[{"id":"https://openalex.org/I4210142080","display_name":"Services Australia","ror":"https://ror.org/03gwaxw53","country_code":"AU","type":"government","lineage":["https://openalex.org/I2801453606","https://openalex.org/I4210142080","https://openalex.org/I4210163987"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Leila Tavakoli","raw_affiliation_strings":["Service Australia, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Service Australia, Melbourne, Australia","institution_ids":["https://openalex.org/I4210142080"]}]},{"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":["University of Massachusetts Amherst, Amherst, MA, USA"],"affiliations":[{"raw_affiliation_string":"University of Massachusetts Amherst, Amherst, MA, USA","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017632892"],"corresponding_institution_ids":["https://openalex.org/I4210142080"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21118305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12478","display_name":"Wikis in Education and Collaboration","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12478","display_name":"Wikis in Education and Collaboration","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9833999872207642,"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":0.7270263433456421},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38391464948654175},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3831329345703125},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.35793784260749817}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7270263433456421},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38391464948654175},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3831329345703125},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.35793784260749817}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3731120.3744574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731120.3744574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2507.00543","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.00543","pdf_url":"https://arxiv.org/pdf/2507.00543","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2507.00543","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.00543","pdf_url":"https://arxiv.org/pdf/2507.00543","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1462908608","display_name":"CAREER: Enriching Conversational Information Retrieval via Mixed-Initiative Interactions","funder_award_id":"2143434","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5921281487","display_name":null,"funder_award_id":"number","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6128554767","display_name":null,"funder_award_id":"N000142212688","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412673532.pdf","grobid_xml":"https://content.openalex.org/works/W4412673532.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1501070457","https://openalex.org/W2026572232","https://openalex.org/W2120308175","https://openalex.org/W2126105956","https://openalex.org/W2955157382","https://openalex.org/W2963123047","https://openalex.org/W2963339397","https://openalex.org/W3003611599","https://openalex.org/W3043669475","https://openalex.org/W3094347401","https://openalex.org/W3196820561","https://openalex.org/W3201174429","https://openalex.org/W4205737716","https://openalex.org/W4251434917","https://openalex.org/W4281763369","https://openalex.org/W4327811957","https://openalex.org/W4366733439","https://openalex.org/W4378603221","https://openalex.org/W4380353763","https://openalex.org/W4384107234","https://openalex.org/W4384484700","https://openalex.org/W4384662964","https://openalex.org/W4385571232","https://openalex.org/W4385571411","https://openalex.org/W4385688511","https://openalex.org/W4385734246","https://openalex.org/W4386740843","https://openalex.org/W4386908049","https://openalex.org/W4388552174","https://openalex.org/W4388764805","https://openalex.org/W4389010446","https://openalex.org/W4389518686","https://openalex.org/W4389519239","https://openalex.org/W4389519254","https://openalex.org/W4389523857","https://openalex.org/W4391473457","https://openalex.org/W4392251150","https://openalex.org/W4392864805","https://openalex.org/W4396831993","https://openalex.org/W4405143965","https://openalex.org/W4405552797","https://openalex.org/W4411630039","https://openalex.org/W6852874933"],"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":{"Despite":[0],"growing":[1],"interest":[2],"in":[3,14,52,67,150],"using":[4],"large":[5],"language":[6],"models":[7,61],"(LLMs)":[8],"to":[9,63,90,113,135],"automate":[10],"annotation,":[11],"their":[12],"effectiveness":[13],"complex,":[15],"nuanced,":[16],"and":[17,87,110,141],"multi-dimensional":[18,37],"labelling":[19],"tasks":[20],"remains":[21],"relatively":[22,139],"underexplored.":[23],"This":[24],"study":[25,56],"focuses":[26],"on":[27],"annotation":[28,44,127],"for":[29,147],"the":[30],"search":[31],"clarification":[32],"task,":[33],"leveraging":[34],"a":[35,74,99,138],"high-quality,":[36],"dataset":[38],"that":[39,58,79,106,121],"includes":[40],"five":[41],"distinct":[42],"fine-grained":[43,70],"subtasks.":[45],"Although":[46],"LLMs":[47,149],"have":[48],"shown":[49],"impressive":[50],"capabilities":[51],"general":[53],"settings,":[54],"our":[55],"reveals":[57],"even":[59],"state-of-the-art":[60],"struggle":[62],"replicate":[64],"human-level":[65],"performance":[66],"subjective":[68],"or":[69],"evaluation":[71,152],"tasks.":[72],"Through":[73],"systematic":[75],"assessment,":[76],"we":[77,97],"demonstrate":[78],"LLM":[80],"predictions":[81],"are":[82],"often":[83],"inconsistent,":[84],"poorly":[85],"calibrated,":[86],"highly":[88],"sensitive":[89],"prompt":[91],"variations.":[92],"To":[93],"address":[94],"these":[95],"limitations,":[96],"propose":[98],"simple":[100],"yet":[101,143],"effective":[102],"human-in-the-loop":[103],"(HITL)":[104],"workflow":[105],"uses":[107],"confidence":[108],"thresholds":[109],"inter-model":[111],"disagreement":[112],"selectively":[114],"involve":[115],"human":[116,131],"review.":[117],"Our":[118],"findings":[119],"show":[120],"this":[122],"lightweight":[123],"intervention":[124],"significantly":[125],"improves":[126],"reliability":[128],"while":[129],"reducing":[130],"effort":[132],"by":[133],"up":[134],"45%,":[136],"offering":[137],"scalable":[140],"cost-effective":[142],"accurate":[144],"path":[145],"forward":[146],"deploying":[148],"real-world":[151],"settings.":[153]},"counts_by_year":[],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
