{"id":"https://openalex.org/W4412376865","doi":"https://doi.org/10.1145/3726302.3730256","title":"Towards Best Practices of Axiomatic Activation Patching in Information Retrieval","display_name":"Towards Best Practices of Axiomatic Activation Patching in Information Retrieval","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412376865","doi":"https://doi.org/10.1145/3726302.3730256"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730256","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730256","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730256","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 48th 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://dl.acm.org/doi/pdf/10.1145/3726302.3730256","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092492109","display_name":"Gregory Polyakov","orcid":"https://orcid.org/0009-0003-7536-9670"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gregory Polyakov","raw_affiliation_strings":["University of T\u00fcbingen, T\u00fcbingen, Germany"],"raw_orcid":"https://orcid.org/0009-0003-7536-9670","affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101975391","display_name":"Catherine Chen","orcid":"https://orcid.org/0009-0009-8734-436X"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Catherine Chen","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"raw_orcid":"https://orcid.org/0009-0009-8734-436X","affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014921416","display_name":"Carsten Eickhoff","orcid":"https://orcid.org/0000-0001-9895-4061"},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Carsten Eickhoff","raw_affiliation_strings":["University of T\u00fcbingen, T\u00fcbingen, Germany"],"raw_orcid":"https://orcid.org/0000-0001-9895-4061","affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen, T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2972","last_page":"2976"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9997000098228455,"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":0.9997000098228455,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9984999895095825,"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":0.9983999729156494,"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/axiom","display_name":"Axiom","score":0.7012174129486084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6548054814338684},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49662643671035767},{"id":"https://openalex.org/keywords/axiomatic-system","display_name":"Axiomatic system","score":0.46462541818618774},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32365894317626953},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18632930517196655}],"concepts":[{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.7012174129486084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6548054814338684},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49662643671035767},{"id":"https://openalex.org/C125773388","wikidata":"https://www.wikidata.org/wiki/Q792542","display_name":"Axiomatic system","level":3,"score":0.46462541818618774},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32365894317626953},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18632930517196655},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726302.3730256","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730256","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730256","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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730256","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730256","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730256","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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320317967","display_name":"International Max Planck Research School for Environmental, Cellular and Molecular Microbiology","ror":null},{"id":"https://openalex.org/F4320327553","display_name":"International Max Planck Research School for Advanced Methods in Process and Systems Engineering","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412376865.pdf","grobid_xml":"https://content.openalex.org/works/W4412376865.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W2134557008","https://openalex.org/W2606555609","https://openalex.org/W2911495555","https://openalex.org/W3150521056","https://openalex.org/W3154670582","https://openalex.org/W4225492354","https://openalex.org/W4226391416","https://openalex.org/W4389519056","https://openalex.org/W4389520380","https://openalex.org/W4400525779","https://openalex.org/W4412376859"],"related_works":["https://openalex.org/W1771651560","https://openalex.org/W2386897142","https://openalex.org/W4300725361","https://openalex.org/W1605727975","https://openalex.org/W4232127999","https://openalex.org/W4289976264","https://openalex.org/W3101572115","https://openalex.org/W2127270425","https://openalex.org/W329313523","https://openalex.org/W59712964"],"abstract_inverted_index":{"Mechanistic":[0],"interpretability":[1,153],"research,":[2],"which":[3,123],"aims":[4],"to":[5,26,33,59,133],"uncover":[6],"the":[7,91,103,134,143],"internal":[8],"processes":[9],"of":[10,95,105,146,155],"machine":[11],"learning":[12],"models,":[13],"has":[14,23],"gained":[15],"significant":[16,121],"attention.":[17],"One":[18],"state-of-the-art":[19],"technique,":[20],"activation":[21,147],"patching,":[22],"been":[24],"applied":[25],"analyzing":[27],"neural":[28,156],"ranker":[29],"behavior":[30],"in":[31,47,149],"relation":[32],"information":[34],"retrieval":[35],"(IR)":[36],"axioms.":[37],"To":[38],"date,":[39],"however,":[40],"this":[41,68],"remains":[42],"a":[43,99],"rapidly":[44],"evolving":[45],"topic":[46],"IR,":[48,150],"with":[49],"no":[50],"established":[51],"methodology":[52],"for":[53,85,142],"measuring":[54,78],"results":[55],"or":[56,129],"constructing":[57],"datasets":[58,84],"ensure":[60],"pronounced,":[61],"robust,":[62],"and":[63,81,93,117],"consistent":[64],"patching":[65,79,106,148],"effects.":[66,107],"In":[67],"study,":[69],"based":[70],"on":[71,77],"experimental":[72],"results,":[73],"we":[74,109,138],"provide":[75,139],"recommendations":[76,141],"effects":[80],"designing":[82],"diagnostic":[83],"investigating":[86],"term":[87],"frequency.":[88],"We":[89],"identify":[90],"rareness":[92],"informativeness":[94],"injected":[96],"terms":[97],"as":[98],"key":[100],"factor":[101],"influencing":[102],"magnitude":[104],"Additionally,":[108],"find":[110],"that":[111],"low":[112],"score":[113],"differences":[114],"between":[115],"baseline":[116],"perturbed":[118],"documents":[119],"introduce":[120],"noise,":[122],"can":[124],"be":[125],"mitigated":[126],"by":[127],"filtering":[128],"applying":[130],"penalty":[131],"scores":[132],"metric.":[135],"More":[136],"generally,":[137],"practical":[140],"reliable":[144],"application":[145],"advancing":[151],"future":[152],"research":[154],"ranking":[157],"models.":[158],"Our":[159],"code":[160],"is":[161],"available":[162],"at":[163],"https://github.com/polgrisha/best-practices-ir-patching.":[164]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}