{"id":"https://openalex.org/W7164045417","doi":"https://doi.org/10.48550/arxiv.2606.07519","title":"Bidirectional Small-Granularity Search between Code and Text","display_name":"Bidirectional Small-Granularity Search between Code and Text","publication_year":2026,"publication_date":"2026-04-19","ids":{"openalex":"https://openalex.org/W7164045417","doi":"https://doi.org/10.48550/arxiv.2606.07519"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.07519","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07519","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.07519","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130857426","display_name":"Marco A. Valenzuela\u2010Esc\u00e1rcega","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valenzuela-Esc\u00e1rcega, Marco A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138219059","display_name":"Enrique Noriega-Atala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noriega-Atala, Enrique","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030626360","display_name":"Gus Hahn-Powell","orcid":"https://orcid.org/0000-0002-7957-3586"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hahn-Powell, Gus","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130867636","display_name":"Clayton T. Morrison","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morrison, Clayton T.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138209710","display_name":"Mihai Surdeanu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Surdeanu, Mihai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T10028","display_name":"Topic Modeling","score":0.3244999945163727,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.3244999945163727,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.20069999992847443,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.05739999935030937,"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/task","display_name":"Task (project management)","score":0.6929000020027161},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6771000027656555},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6083999872207642},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5364999771118164},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4496000111103058},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.35749998688697815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.828499972820282},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6929000020027161},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6771000027656555},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6083999872207642},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5364999771118164},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4496000111103058},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.40790000557899475},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39500001072883606},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31700000166893005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3012000024318695},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.28780001401901245},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25589999556541443},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.07519","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07519","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.07519","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07519","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.578870415687561,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,62,106,134],"introduce":[1,63],"the":[2,14,24,31,68],"novel":[3],"task":[4,39,70,152],"of":[5,19,30,54,59,79,128],"bidirectional":[6],"small-granularity":[7],"search":[8],"between":[9,43],"code":[10,22,35,50,80],"and":[11,23,48,56,85,91,143],"text,":[12],"where":[13],"queries":[15],"are":[16,26],"small":[17,28],"snippets":[18],"text":[20,44],"or":[21,36],"results":[25,141,145],"also":[27,107],"fragments":[29],"opposite":[32],"modality,":[33],"i.e.,":[34],"text.":[37],"This":[38,147],"establishes":[40],"direct":[41],"links":[42],"in":[45,52,131],"scientific":[46,60],"publications":[47],"corresponding":[49],"segments,":[51],"support":[53],"better":[55],"faster":[57],"understanding":[58],"methods.":[61],"a":[64,73,109],"large":[65],"dataset":[66],"for":[67],"proposed":[69],"that":[71,95,125,136,149],"includes":[72],"training":[74],"partition":[75],"with":[76,153],"textual":[77],"descriptions":[78],"generated":[81],"automatically":[82],"using":[83],"GPT-4,":[84],"three":[86],"testing":[87],"partitions,":[88],"one":[89],"in-domain":[90],"two":[92],"out-of-domain":[93],"(OOD)":[94],"contain":[96],"manually-annotated":[97],"data":[98,155],"as":[99,101],"well":[100],"material":[102],"from":[103],"other":[104],"domains.":[105],"propose":[108],"modular":[110],"approach":[111,117],"to":[112,164],"address":[113],"this":[114,151],"task.":[115],"Our":[116],"shares":[118],"an":[119],"encoder":[120],"across":[121],"four":[122],"different":[123],"subtasks":[124],"learn":[126],"start/end":[127],"answer":[129],"spans":[130],"both":[132],"directions.":[133],"show":[135],"our":[137],"method":[138],"achieves":[139],"good":[140],"in-domain,":[142],"encouraging":[144],"OOD.":[146],"suggests":[148],"addressing":[150],"automatically-generated":[154],"is":[156,160],"possible,":[157],"but":[158],"there":[159],"exciting":[161],"future":[162],"work":[163],"be":[165],"done.":[166]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-10T00:00:00"}