{"id":"https://openalex.org/W4404569471","doi":"https://doi.org/10.48550/arxiv.2411.10168","title":"Evaluating the role of `Constitutions' for learning from AI feedback","display_name":"Evaluating the role of `Constitutions' for learning from AI feedback","publication_year":2024,"publication_date":"2024-11-15","ids":{"openalex":"https://openalex.org/W4404569471","doi":"https://doi.org/10.48550/arxiv.2411.10168"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.10168","pdf_url":"http://arxiv.org/pdf/2411.10168","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2411.10168","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050210237","display_name":"Saskia Redgate","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Redgate, Saskia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001652638","display_name":"Andrew M. Bean","orcid":"https://orcid.org/0000-0001-8439-5975"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bean, Andrew M.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055914149","display_name":"Adam Mahdi","orcid":"https://orcid.org/0000-0002-2329-4457"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahdi, Adam","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"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":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.5897,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.5897,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40644687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3473367},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.34391284},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.33490738}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.10168","pdf_url":"http://arxiv.org/pdf/2411.10168","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.10168","pdf_url":"http://arxiv.org/pdf/2411.10168","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4396701345","https://openalex.org/W4396696052","https://openalex.org/W4391913857","https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2376932109","https://openalex.org/W2358668433","https://openalex.org/W2001405890"],"abstract_inverted_index":{"The":[0],"growing":[1],"capabilities":[2],"of":[3,48,87,121],"large":[4],"language":[5],"models":[6],"(LLMs)":[7],"have":[8],"led":[9,78],"to":[10,37,58,79,99,118],"their":[11],"use":[12],"as":[13,124],"substitutes":[14],"for":[15,18],"human":[16,71],"feedback":[17,39,51,123],"training":[19],"and":[20,40,102],"assessing":[21],"other":[22],"LLMs.":[23],"These":[24],"methods":[25],"often":[26],"rely":[27],"on":[28],"`constitutions',":[29],"written":[30],"guidelines":[31],"which":[32],"a":[33,125],"critic":[34],"model":[35],"uses":[36],"provide":[38],"improve":[41,59],"generations.":[42],"We":[43],"investigate":[44],"how":[45],"the":[46,88,91,119],"choice":[47],"constitution":[49],"affects":[50],"quality":[52],"by":[53,69],"using":[54],"four":[55],"different":[56],"constitutions":[57,77,89,110],"patient-centered":[60],"communication":[61],"in":[62,93,128],"medical":[63],"interviews.":[64],"In":[65],"pairwise":[66],"comparisons":[67],"conducted":[68],"215":[70],"raters,":[72],"we":[73],"found":[74],"that":[75,107],"detailed":[76,109],"better":[80],"results":[81],"regarding":[82],"emotive":[83],"qualities.":[84],"However,":[85],"none":[86],"outperformed":[90],"baseline":[92],"learning":[94],"more":[95],"practically-oriented":[96],"skills":[97],"related":[98],"information":[100],"gathering":[101],"provision.":[103],"Our":[104],"findings":[105],"indicate":[106],"while":[108],"should":[111],"be":[112],"prioritised,":[113],"there":[114],"are":[115],"possible":[116],"limitations":[117],"effectiveness":[120],"AI":[122],"reward":[126],"signal":[127],"certain":[129],"areas.":[130]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4404569471","counts_by_year":[],"updated_date":"2024-12-13T07:15:00.974184","created_date":"2024-11-21"}