{"id":"https://openalex.org/W7167888614","doi":"https://doi.org/10.1145/3805712.3808657","title":"ReNeuIR at SIGIR 2026: The Fifth Workshop on Reaching Efficiency in Neural Information Retrieval","display_name":"ReNeuIR at SIGIR 2026: The Fifth Workshop on Reaching Efficiency in Neural Information Retrieval","publication_year":2026,"publication_date":"2026-07-10","ids":{"openalex":"https://openalex.org/W7167888614","doi":"https://doi.org/10.1145/3805712.3808657"},"language":null,"primary_location":{"id":"doi:10.1145/3805712.3808657","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808657","pdf_url":null,"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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805712.3808657","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068616222","display_name":"Maik Fr\u00f6be","orcid":"https://orcid.org/0000-0002-1003-981X"},"institutions":[{"id":"https://openalex.org/I76198965","display_name":"Friedrich Schiller University Jena","ror":"https://ror.org/05qpz1x62","country_code":"DE","type":"education","lineage":["https://openalex.org/I76198965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maik Fr\u00f6be","raw_affiliation_strings":["Friedrich-Schiller-Universit\u00e4t Jena, Jena, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1003-981X","affiliations":[{"raw_affiliation_string":"Friedrich-Schiller-Universit\u00e4t Jena, Jena, Germany","institution_ids":["https://openalex.org/I76198965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086108001","display_name":"Thomas Hagen","orcid":"https://orcid.org/0009-0000-4854-7249"},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tim Hagen","raw_affiliation_strings":["University of Kassel and hessian.AI, Kassel, Germany"],"raw_orcid":"https://orcid.org/0009-0000-4854-7249","affiliations":[{"raw_affiliation_string":"University of Kassel and hessian.AI, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082554104","display_name":"Franco Maria Nardini","orcid":"https://orcid.org/0000-0003-3183-334X"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Franco Maria Nardini","raw_affiliation_strings":["ISTI-CNR, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0003-3183-334X","affiliations":[{"raw_affiliation_string":"ISTI-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083712311","display_name":"Martin Potthast","orcid":"https://orcid.org/0000-0003-2451-0665"},"institutions":[{"id":"https://openalex.org/I106157433","display_name":"University of Kassel","ror":"https://ror.org/04zc7p361","country_code":"DE","type":"education","lineage":["https://openalex.org/I106157433"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Potthast","raw_affiliation_strings":["University of Kassel, University of Kassel, hessian.AI and ScaDS.AI, Kassel, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2451-0665","affiliations":[{"raw_affiliation_string":"University of Kassel, University of Kassel, hessian.AI and ScaDS.AI, Kassel, Germany","institution_ids":["https://openalex.org/I106157433"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.93816612,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5378","last_page":"5381"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.5942000150680542,"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":0.5942000150680542,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.04019999876618385,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.029600000008940697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7986000180244446},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6114000082015991},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.448199987411499},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.33009999990463257},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3091000020503998},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.27810001373291016}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7986000180244446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7785999774932861},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6114000082015991},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5455999970436096},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.448199987411499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4250999987125397},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32839998602867126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32749998569488525},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.26829999685287476},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.26579999923706055},{"id":"https://openalex.org/C161156560","wikidata":"https://www.wikidata.org/wiki/Q1638872","display_name":"Document retrieval","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C21025794","wikidata":"https://www.wikidata.org/wiki/Q5141219","display_name":"Cognitive models of information retrieval","level":4,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805712.3808657","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808657","pdf_url":null,"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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805712.3808657","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808657","pdf_url":null,"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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2963809228","https://openalex.org/W3099700870","https://openalex.org/W4284690089","https://openalex.org/W4327498231","https://openalex.org/W4378945316","https://openalex.org/W4384639961","https://openalex.org/W4385571022","https://openalex.org/W4385691145","https://openalex.org/W4400529849","https://openalex.org/W4409166856","https://openalex.org/W4412377041","https://openalex.org/W4412377830","https://openalex.org/W7140145556"],"related_works":[],"abstract_inverted_index":{"The":[0],"lack":[1],"of":[2,10,33,50,110,168],"efficiency":[3,85,102,161,174],"in":[4,48,73,89],"neural":[5,16],"information":[6],"retrieval":[7,17,113],"remains":[8],"one":[9],"the":[11,30,64,152,166],"primary":[12],"obstacles":[13],"to":[14,41,71,127,156],"deploying":[15],"models":[18],"as":[19,77,79,84],"a":[20,80,129,139,169],"first-stage":[21],"retriever":[22],"at":[23],"scale.":[24],"While":[25],"recent":[26],"tools":[27],"have":[28,137],"improved":[29],"standardized":[31],"measurement":[32],"model":[34],"efficiency,":[35],"substantial":[36],"progress":[37],"is":[38,126],"still":[39],"needed":[40],"enable":[42],"systematic":[43],"comparative":[44],"evaluation,":[45,58],"for":[46,52,101,121],"example,":[47],"terms":[49],"standards":[51],"systems":[53],"and":[54,60,98,145,150,159,175],"hardware":[55],"configurations,":[56],"cloud-based":[57],"benchmarks,":[59],"reproducibility.":[61,176],"Beyond":[62],"measurement,":[63],"IR":[65],"community":[66,153],"also":[67],"needs":[68],"stronger":[69],"incentives":[70],"move":[72],"this":[74],"direction,":[75],"such":[76],"cost-efficiency":[78,125],"review":[81],"criterion":[82],"or":[83],"and/or":[86],"effectiveness":[87],"measures":[88],"shared":[90,170],"tasks,":[91],"related":[92],"teaching":[93],"materials,":[94],"efficiency-oriented":[95],"user":[96],"studies,":[97],"specialized":[99],"awards":[100],"achievements.":[103],"In":[104],"particular,":[105],"developing":[106],"more":[107],"efficient":[108],"variants":[109],"highly":[111],"effective":[112],"algorithms":[114],"should":[115],"become":[116,128],"an":[117],"admissible":[118],"research":[119],"goal":[120],"PhD":[122],"students":[123],"if":[124],"first-class":[130],"design":[131],"objective":[132],"in~IR.":[133],"With":[134],"ReNeuIR,":[135],"we":[136],"established":[138],"recurring":[140],"forum":[141],"where":[142,151],"these":[143],"questions":[144],"new":[146],"ideas":[147],"are":[148],"discussed":[149],"comes":[154],"together":[155],"collaboratively":[157],"evaluate":[158],"improve":[160],"benchmarking":[162],"frameworks---most":[163],"notably":[164],"through":[165],"organization":[167],"task":[171],"focused":[172],"on":[173]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-11T00:00:00"}
