{"id":"https://openalex.org/W4403580247","doi":"https://doi.org/10.48550/arxiv.2410.13852","title":"Retrospective Learning from Interactions","display_name":"Retrospective Learning from Interactions","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4403580247","doi":"https://doi.org/10.48550/arxiv.2410.13852"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2410.13852","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.13852","pdf_url":"https://arxiv.org/pdf/2410.13852","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":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2410.13852","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085563391","display_name":"Zhaorun Chen","orcid":"https://orcid.org/0009-0009-6106-3957"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chen, Zizhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074059774","display_name":"Mustafa Omer Gul","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gul, Mustafa Omer","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102015608","display_name":"Yiwei Chen","orcid":"https://orcid.org/0000-0002-6851-7570"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yiwei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114338157","display_name":"Gloria Geng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Geng, Gloria","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084629623","display_name":"Anne Wu","orcid":"https://orcid.org/0000-0003-2436-8486"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Anne","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5047026141","display_name":"Yoav Artzi","orcid":"https://orcid.org/0000-0002-4605-6144"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Artzi, Yoav","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5085563391"],"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9207000136375427,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9207000136375427,"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":0.9118000268936157,"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":0.36758992075920105},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3427949547767639},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.32712143659591675}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36758992075920105},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3427949547767639},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.32712143659591675}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2410.13852","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.13852","pdf_url":"https://arxiv.org/pdf/2410.13852","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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2410.13852","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2410.13852","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2410.13852","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.13852","pdf_url":"https://arxiv.org/pdf/2410.13852","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403580247.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Multi-turn":[0],"interactions":[1,82,117],"between":[2],"large":[3],"language":[4],"models":[5],"(LLMs)":[6],"and":[7,48],"users":[8],"naturally":[9],"include":[10],"implicit":[11],"feedback":[12],"signals.":[13],"If":[14],"an":[15,19,23,41,105],"LLM":[16,58,102],"responds":[17],"in":[18,80,91],"unexpected":[20],"way":[21],"to":[22,29,40,59,75,103,131],"instruction,":[24],"the":[25,34,57,67],"user":[26],"is":[27],"likely":[28],"signal":[30],"it":[31,64],"by":[32],"rephrasing":[33],"request,":[35],"expressing":[36],"frustration,":[37],"or":[38],"pivoting":[39],"alternative":[42],"task.":[43,69],"Such":[44],"signals":[45,79],"are":[46],"task-independent":[47],"occupy":[49],"a":[50,73,92,100,110],"relatively":[51],"constrained":[52],"subspace":[53],"of":[54,116],"language,":[55],"allowing":[56],"identify":[60],"them":[61],"even":[62],"if":[63],"fails":[65],"on":[66],"actual":[68],"We":[70,88],"introduce":[71],"ReSpect,":[72],"method":[74],"learn":[76],"from":[77,129],"such":[78],"past":[81],"via":[83],"retrospection":[84],"without":[85,134],"additional":[86],"annotations.":[87],"deploy":[89],"ReSpect":[90,123],"new":[93],"multimodal":[94,101],"interaction":[95],"scenario,":[96],"where":[97],"humans":[98],"instruct":[99],"solve":[104],"abstract":[106],"reasoning":[107],"task":[108,126],"with":[109,118],"combinatorial":[111],"solution":[112],"space.":[113],"Through":[114],"thousands":[115],"humans,":[119],"we":[120],"show":[121],"how":[122],"gradually":[124],"improves":[125],"completion":[127],"rate":[128],"31%":[130],"82%,":[132],"all":[133],"any":[135],"external":[136],"annotation.":[137]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}