{"id":"https://openalex.org/W4226424609","doi":"https://doi.org/10.48550/arxiv.2111.05204","title":"Reason first, then respond: Modular Generation for Knowledge-infused Dialogue","display_name":"Reason first, then respond: Modular Generation for Knowledge-infused Dialogue","publication_year":2021,"publication_date":"2021-11-09","ids":{"openalex":"https://openalex.org/W4226424609","doi":"https://doi.org/10.48550/arxiv.2111.05204"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2111.05204","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.05204","pdf_url":"https://arxiv.org/pdf/2111.05204","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,"listed_in":[],"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":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2111.05204","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001786495","display_name":"Leonard Adolphs","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Adolphs, Leonard","raw_affiliation_strings":["ETH Z\u00fcrich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Z\u00fcrich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048651878","display_name":"Kurt Shuster","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuster, Kurt","raw_affiliation_strings":["Facebook AI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook AI Research","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080241878","display_name":"Jack Urbanek","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Urbanek, Jack","raw_affiliation_strings":["Facebook AI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook AI Research","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053145694","display_name":"Arthur D. Szlam","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Szlam, Arthur","raw_affiliation_strings":["Facebook AI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook AI Research","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076635608","display_name":"Jason Weston","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weston, Jason","raw_affiliation_strings":["Facebook AI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook AI Research","institution_ids":["https://openalex.org/I4210114444"]}]}],"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":20,"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/T12031","display_name":"Speech and dialogue systems","score":0.9994999766349792,"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/T12031","display_name":"Speech and dialogue systems","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.00019999999494757503,"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":9.999999747378752e-05,"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/hallucination-mitigation","display_name":"hallucination mitigation","score":0.6539999842643738},{"id":"https://openalex.org/keywords/knowledge-grounding","display_name":"knowledge grounding","score":0.6069999933242798},{"id":"https://openalex.org/keywords/retrieval-augmented-generation","display_name":"retrieval-augmented generation","score":0.875},{"id":"https://openalex.org/keywords/chatbots","display_name":"chatbots","score":0.6690000295639038},{"id":"https://openalex.org/keywords/question-answering","display_name":"question answering","score":0.4580000042915344},{"id":"https://openalex.org/keywords/interpretability","display_name":"interpretability","score":0.6869999766349792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8045855760574341},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5999313592910767},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.5771681666374207},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.5708391070365906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5206731557846069},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5003013610839844},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.49552667140960693},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4648287296295166},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.4490986466407776},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3573716878890991},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17173215746879578},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1078113317489624},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2111.05204","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.05204","pdf_url":"https://arxiv.org/pdf/2111.05204","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,"listed_in":[],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2111.05204","doi":"https://doi.org/10.48550/arxiv.2111.05204","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2111.05204","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,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2111.05204","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.05204","pdf_url":"https://arxiv.org/pdf/2111.05204","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,"listed_in":[],"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":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226424609.pdf","grobid_xml":"https://content.openalex.org/works/W4226424609.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2947182319","https://openalex.org/W2949854508","https://openalex.org/W2962985038","https://openalex.org/W2963096510","https://openalex.org/W2973475963","https://openalex.org/W3082583995","https://openalex.org/W3154669786","https://openalex.org/W3202187802"],"related_works":["https://openalex.org/W3211582110","https://openalex.org/W4385573862","https://openalex.org/W4225741227","https://openalex.org/W4396620533","https://openalex.org/W4385570284","https://openalex.org/W4385571321","https://openalex.org/W7140037931","https://openalex.org/W6920309578","https://openalex.org/W7164006162","https://openalex.org/W3144328175"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2,14,149],"can":[3,129],"produce":[4,98],"fluent":[5],"dialogue":[6,71,95,115,136,141],"but":[7],"often":[8],"hallucinate":[9],"factual":[10],"inaccuracies.":[11],"While":[12],"retrieval-augmented":[13],"help":[15],"alleviate":[16],"this":[17,37,57,78],"issue,":[18],"they":[19],"still":[20],"face":[21],"a":[22,41,66,70,99,109,155],"difficult":[23],"challenge":[24],"of":[25,122],"both":[26],"reasoning":[27],"to":[28,45,85,97,132,139,143,150],"provide":[29],"correct":[30],"knowledge":[31,50,67,89],"and":[32,117,124,135],"generating":[33],"conversation":[34],"simultaneously.":[35],"In":[36,102,126],"work,":[38],"we":[39,105],"propose":[40],"modular":[42],"model,":[43],"Knowledge":[44],"Response":[46],"(K2R),":[47],"for":[48],"incorporating":[49],"into":[51,59],"conversational":[52,152],"agents,":[53],"which":[54],"breaks":[55],"down":[56],"problem":[58],"two":[60],"easier":[61],"steps.":[62],"K2R":[63],"first":[64],"generates":[65],"sequence,":[68,90],"given":[69],"context,":[72,96],"as":[73,91,93],"an":[74],"intermediate":[75],"step.":[76],"After":[77],"\"reasoning":[79],"step\",":[80],"the":[81,94],"model":[82,110],"then":[83],"attends":[84],"its":[86],"own":[87],"generated":[88],"well":[92],"final":[100],"response.":[101],"detailed":[103],"experiments,":[104],"find":[106],"that":[107],"such":[108],"hallucinates":[111],"less":[112],"in":[113,120,154],"knowledge-grounded":[114],"tasks,":[116],"has":[118],"advantages":[119],"terms":[121],"interpretability":[123],"modularity.":[125],"particular,":[127],"it":[128],"be":[130],"used":[131],"fuse":[133],"QA":[134,148],"systems":[137],"together":[138],"enable":[140],"agents":[142],"give":[144,151],"knowledgeable":[145],"answers,":[146],"or":[147],"responses":[153],"zero-shot":[156],"setting.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-05-05T00:00:00"}