{"id":"https://openalex.org/W4417091715","doi":"https://doi.org/10.48550/arxiv.2504.13128","title":"FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents","display_name":"FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents","publication_year":2025,"publication_date":"2025-04-17","ids":{"openalex":"https://openalex.org/W4417091715","doi":"https://doi.org/10.48550/arxiv.2504.13128"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2504.13128","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.13128","pdf_url":"https://arxiv.org/pdf/2504.13128","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2504.13128","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052977545","display_name":"Nandan Thakur","orcid":"https://orcid.org/0000-0001-6107-2460"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Thakur, Nandan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041736411","display_name":"Jimmy Lin","orcid":"https://orcid.org/0000-0003-3865-9778"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Jimmy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109658192","display_name":"Sam Havens","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Havens, Sam","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091194125","display_name":"Michael Carbin","orcid":"https://orcid.org/0000-0002-6928-0456"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carbin, Michael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015201177","display_name":"Omar Khattab","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khattab, Omar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002731966","display_name":"Andrew Drozdov","orcid":"https://orcid.org/0000-0002-1025-5715"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Drozdov, Andrew","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5052977545"],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.5849999785423279,"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"}},"topics":[{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.5849999785423279,"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/T10028","display_name":"Topic Modeling","score":0.17159999907016754,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.0617000013589859,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.7342000007629395},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4291999936103821},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4228000044822693},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.37369999289512634},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.34880000352859497},{"id":"https://openalex.org/keywords/human\u2013computer-information-retrieval","display_name":"Human\u2013computer information retrieval","score":0.3411000072956085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7968000173568726},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.7342000007629395},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.7067000269889832},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4291999936103821},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4228000044822693},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3743000030517578},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.37369999289512634},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C90288658","wikidata":"https://www.wikidata.org/wiki/Q3318149","display_name":"Human\u2013computer information retrieval","level":3,"score":0.3411000072956085},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C551230270","wikidata":"https://www.wikidata.org/wiki/Q4368942","display_name":"Data retrieval","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2946000099182129},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2903999984264374},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2712000012397766},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2504.13128","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.13128","pdf_url":"https://arxiv.org/pdf/2504.13128","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2504.13128","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2504.13128","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":"pmh:oai:arXiv.org:2504.13128","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.13128","pdf_url":"https://arxiv.org/pdf/2504.13128","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417091715.pdf","grobid_xml":"https://content.openalex.org/works/W4417091715.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,57,131],"introduce":[1],"FreshStack,":[2,78],"a":[3,49,127],"holistic":[4],"framework":[5],"for":[6],"automatically":[7],"building":[8],"information":[9],"retrieval":[10,52,80,112],"(IR)":[11],"evaluation":[12,147],"benchmarks":[13],"by":[14],"incorporating":[15],"challenging":[16],"questions":[17,39],"and":[18,31,40,42,54,67,119,142,145],"answers.":[19],"FreshStack":[20,59,133],"conducts":[21],"the":[22,72],"following":[23],"steps:":[24],"(1)":[25],"automatic":[26],"corpus":[27],"collection":[28],"from":[29,37],"code":[30],"technical":[32],"documentation,":[33],"(2)":[34],"nugget":[35],"generation":[36],"community-asked":[38],"answers,":[41],"(3)":[43],"nugget-level":[44],"support,":[45],"retrieving":[46],"documents":[47],"using":[48],"fusion":[50],"of":[51,95,116],"techniques":[53],"hybrid":[55],"architectures.":[56],"use":[58],"to":[60,70,97],"build":[61],"five":[62,91,117],"datasets":[63],"on":[64,89],"fast-growing,":[65],"recent,":[66],"niche":[68],"topics":[69],"ensure":[71],"tasks":[73],"are":[74],"sufficiently":[75],"challenging.":[76],"On":[77],"existing":[79],"models,":[81],"when":[82],"applied":[83],"out-of-the-box,":[84],"significantly":[85],"underperform":[86],"oracle":[87,120],"approaches":[88],"all":[90],"topics,":[92],"denoting":[93],"plenty":[94],"headroom":[96],"improve":[98,110],"IR":[99,144],"quality.":[100],"In":[101],"addition,":[102],"we":[103],"identify":[104],"cases":[105],"where":[106],"rerankers":[107],"do":[108],"not":[109],"first-stage":[111],"accuracy":[113],"(two":[114],"out":[115],"topics)":[118],"context":[121],"helps":[122],"an":[123],"LLM":[124],"generator":[125],"generate":[126],"high-quality":[128],"RAG":[129,146],"answer.":[130],"hope":[132],"will":[134],"facilitate":[135],"future":[136],"work":[137],"toward":[138],"constructing":[139],"realistic,":[140],"scalable,":[141],"uncontaminated":[143],"benchmarks.":[148]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
