{"id":"https://openalex.org/W4412673528","doi":"https://doi.org/10.1145/3731120.3744579","title":"<scp>Eclipse:</scp> Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval","display_name":"<scp>Eclipse:</scp> Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval","publication_year":2025,"publication_date":"2025-07-18","ids":{"openalex":"https://openalex.org/W4412673528","doi":"https://doi.org/10.1145/3731120.3744579"},"language":"en","primary_location":{"id":"doi:10.1145/3731120.3744579","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731120.3744579","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":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11573/1754247","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115560181","display_name":"Giulio D'Erasmo","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulio D'Erasmo","raw_affiliation_strings":["Sapienza University of Rome, Rome, Italy"],"raw_orcid":"https://orcid.org/0009-0002-2287-051X","affiliations":[{"raw_affiliation_string":"Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088662629","display_name":"Giovanni Trappolini","orcid":"https://orcid.org/0000-0002-5515-634X"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Trappolini","raw_affiliation_strings":["Sapienza University of Rome, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5515-634X","affiliations":[{"raw_affiliation_string":"Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044165871","display_name":"Fabrizio Silvestri","orcid":"https://orcid.org/0000-0001-7669-9055"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabrizio Silvestri","raw_affiliation_strings":["Sapienza University of Rome, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0001-7669-9055","affiliations":[{"raw_affiliation_string":"Sapienza University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018894843","display_name":"Nicola Tonellotto","orcid":"https://orcid.org/0000-0002-7427-1001"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Tonellotto","raw_affiliation_strings":["University of Pisa, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0002-7427-1001","affiliations":[{"raw_affiliation_string":"University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"147","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994000196456909,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9961000084877014,"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/dimension","display_name":"Dimension (graph theory)","score":0.7861567735671997},{"id":"https://openalex.org/keywords/eclipse","display_name":"Eclipse","score":0.7684697508811951},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.612839937210083},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5380563139915466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3913223445415497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2075873613357544},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10507673025131226},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.08853170275688171},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08658197522163391},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0796252191066742}],"concepts":[{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.7861567735671997},{"id":"https://openalex.org/C2778505590","wikidata":"https://www.wikidata.org/wiki/Q141022","display_name":"Eclipse","level":2,"score":0.7684697508811951},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.612839937210083},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5380563139915466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3913223445415497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2075873613357544},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10507673025131226},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.08853170275688171},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08658197522163391},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0796252191066742},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3731120.3744579","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731120.3744579","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:arpi.unipi.it:11568/1343922","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1343922","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.uniroma1.it:11573/1754247","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1754247","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.uniroma1.it:11573/1754247","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1754247","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1487321909","https://openalex.org/W2002306339","https://openalex.org/W2074466695","https://openalex.org/W2127452535","https://openalex.org/W2141527331","https://openalex.org/W2163922914","https://openalex.org/W2164547069","https://openalex.org/W2168745915","https://openalex.org/W2963265099","https://openalex.org/W2963341956","https://openalex.org/W2970641574","https://openalex.org/W3021397474","https://openalex.org/W3099700870","https://openalex.org/W3152887675","https://openalex.org/W3157758108","https://openalex.org/W3211670924","https://openalex.org/W3213851456","https://openalex.org/W4206164147","https://openalex.org/W4252076394","https://openalex.org/W4252684946","https://openalex.org/W4289236186","https://openalex.org/W4385573122","https://openalex.org/W4392869971","https://openalex.org/W4400524790"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W137217271","https://openalex.org/W91167106","https://openalex.org/W4407264785","https://openalex.org/W1492637474","https://openalex.org/W1809480526","https://openalex.org/W2952911668","https://openalex.org/W4250943967"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,52,96,121,127,150],"Information":[3],"Retrieval":[4],"have":[5],"leveraged":[6],"high-dimensional":[7,26],"embedding":[8],"spaces":[9],"to":[10,30,91,117],"improve":[11],"the":[12,18,130,134,142],"retrieval":[13,45,100,148],"of":[14,115],"relevant":[15,29,58,74,97],"documents.":[16,77],"Moreover,":[17],"Manifold":[19],"Clustering":[20],"Hypothesis":[21],"suggests":[22],"that":[23,65],"despite":[24],"these":[25,67],"representations,":[27],"documents":[28,87],"a":[31,35,62,82,89],"query":[32],"reside":[33],"on":[34,85,104],"lower-dimensional,":[36],"query-dependent":[37],"manifold.":[38],"While":[39],"this":[40],"hypothesis":[41],"has":[42],"inspired":[43],"new":[44],"methods,":[46],"existing":[47],"approaches":[48],"still":[49],"face":[50],"challenges":[51],"effectively":[53],"separating":[54],"non-relevant":[55,76],"information":[56,71],"from":[57,72],"signals.":[59],"We":[60],"propose":[61],"novel":[63],"methodology":[64],"addresses":[66],"limitations":[68],"by":[69],"leveraging":[70],"both":[73],"and":[75,107,123],"Our":[78,139],"method,":[79],"Eclipse,":[80],"computes":[81],"centroid":[83],"based":[84],"irrelevant":[86],"as":[88],"reference":[90],"estimate":[92],"noisy":[93],"dimensions":[94],"present":[95],"ones,":[98],"enhancing":[99],"performance.":[101],"Extensive":[102],"experiments":[103],"three":[105],"in-domain":[106],"one":[108],"out-of-domain":[109],"benchmarks":[110],"demonstrate":[111],"an":[112],"average":[113],"improvement":[114],"up":[116],"21.03%":[118],"(resp.":[119,125,133],"22.88%)":[120],"mAP(AP)":[122],"12.04%":[124],"14.18%)":[126],"nDCG@10":[128],"w.r.t.":[129],"DIME-based":[131],"baseline":[132,135],"using":[136],"all":[137],"dimensions).":[138],"results":[140],"pave":[141],"way":[143],"for":[144],"more":[145],"robust,":[146],"pseudo-irrelevance-based":[147],"systems":[149],"future":[151],"IR":[152],"research.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-07-27T00:00:00"}