{"id":"https://openalex.org/W4281858308","doi":"https://doi.org/10.48550/arxiv.2205.12650","title":"Few-shot Reranking for Multi-hop QA via Language Model Prompting","display_name":"Few-shot Reranking for Multi-hop QA via Language Model Prompting","publication_year":2022,"publication_date":"2022-05-25","ids":{"openalex":"https://openalex.org/W4281858308","doi":"https://doi.org/10.48550/arxiv.2205.12650"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2205.12650","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.12650","pdf_url":"https://arxiv.org/pdf/2205.12650","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2205.12650","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112974318","display_name":"Muhammad Khalifa","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Khalifa, Muhammad","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003257470","display_name":"Lajanugen Logeswaran","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Logeswaran, Lajanugen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066049461","display_name":"Moontae Lee","orcid":"https://orcid.org/0000-0001-5542-3463"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Moontae","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108652283","display_name":"Honglak Lee","orcid":"https://orcid.org/0000-0002-1279-0068"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Honglak","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100364536","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0003-3388-8053"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Lu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112974318"],"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":0.9991999864578247,"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":0.9991999864578247,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9977999925613403,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9937000274658203,"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/computer-science","display_name":"Computer science","score":0.7646006345748901},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.6910426616668701},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6094088554382324},{"id":"https://openalex.org/keywords/hop","display_name":"Hop (telecommunications)","score":0.5995842814445496},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5556017160415649},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.504653811454773},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4857195019721985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4460853636264801},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.42737430334091187},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36960434913635254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3512578308582306},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09999454021453857},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0996752381324768},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.08853417634963989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7646006345748901},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.6910426616668701},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6094088554382324},{"id":"https://openalex.org/C25906391","wikidata":"https://www.wikidata.org/wiki/Q1432381","display_name":"Hop (telecommunications)","level":2,"score":0.5995842814445496},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5556017160415649},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.504653811454773},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4857195019721985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4460853636264801},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.42737430334091187},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36960434913635254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3512578308582306},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09999454021453857},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0996752381324768},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08853417634963989},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2205.12650","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.12650","pdf_url":"https://arxiv.org/pdf/2205.12650","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2205.12650","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2205.12650","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2205.12650","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2205.12650","pdf_url":"https://arxiv.org/pdf/2205.12650","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6600000262260437,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2117210722","https://openalex.org/W2589759689","https://openalex.org/W1978191894","https://openalex.org/W2018045843","https://openalex.org/W3125668480","https://openalex.org/W2032875422","https://openalex.org/W1999406711","https://openalex.org/W2085384747","https://openalex.org/W1989661137","https://openalex.org/W2088166309"],"abstract_inverted_index":{"We":[0],"study":[1],"few-shot":[2],"reranking":[3],"for":[4,14,22,35],"multi-hop":[5,36,114],"QA":[6],"with":[7,88],"open-domain":[8],"questions.":[9],"To":[10],"alleviate":[11],"the":[12,54,62,66,70,73],"need":[13],"a":[15,47,58,78],"large":[16,31],"number":[17],"of":[18,69,100],"labeled":[19],"question-document":[20],"pairs":[21],"retriever":[23],"training,":[24],"we":[25],"propose":[26],"PromptRank,":[27],"which":[28],"relies":[29],"on":[30,65,86,98],"language":[32,79],"models":[33],"prompting":[34],"path":[37,50,63,74],"reranking.":[38],"PromptRank":[39,81,106],"first":[40],"constructs":[41],"an":[42],"instruction-based":[43],"prompt":[44,75],"that":[45],"includes":[46],"candidate":[48],"document":[49],"and":[51,61,111],"then":[52],"computes":[53],"relevance":[55],"score":[56],"between":[57],"given":[59,72],"question":[60,71],"based":[64],"conditional":[67],"likelihood":[68],"according":[76],"to":[77,94],"model.":[80],"yields":[82],"strong":[83],"retrieval":[84],"performance":[85],"HotpotQA":[87],"only":[89],"128":[90],"training":[91],"examples":[92,101],"compared":[93],"state-of-the-art":[95],"methods":[96],"trained":[97],"thousands":[99],"--":[102],"73.6":[103],"recall@10":[104],"by":[105,109,113],"vs.":[107],"77.8":[108],"PathRetriever":[110],"77.5":[112],"dense":[115],"retrieval.":[116],"Code":[117],"available":[118],"at":[119],"https://github.com/mukhal/PromptRank":[120]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}