{"id":"https://openalex.org/W4408015437","doi":"https://doi.org/10.31234/osf.io/4byrv_v1","title":"Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization","display_name":"Eeyore: Realistic Depression Simulation via Supervised and Preference Optimization","publication_year":2025,"publication_date":"2025-02-27","ids":{"openalex":"https://openalex.org/W4408015437","doi":"https://doi.org/10.31234/osf.io/4byrv_v1"},"language":"en","primary_location":{"id":"doi:10.31234/osf.io/4byrv_v1","doi":"https://doi.org/10.31234/osf.io/4byrv_v1","is_oa":false,"landing_page_url":"https://doi.org/10.31234/osf.io/4byrv_v1","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"volume":null,"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.00018","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100629084","display_name":"Siyang Liu","orcid":"https://orcid.org/0009-0009-0377-8508","observed_orcids":["https://orcid.org/0009-0009-0377-8508"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"siyang liu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0009-0377-8508","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116446885","display_name":"Bianca Brie","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bianca Brie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010194099","display_name":"Wenda Li","orcid":"https://orcid.org/0000-0002-4430-7405","observed_orcids":["https://orcid.org/0000-0002-4430-7405"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenda Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076796876","display_name":"Laura Biester","orcid":"https://orcid.org/0000-0003-3901-2968","observed_orcids":["https://orcid.org/0000-0003-3901-2968"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laura Biester","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032545949","display_name":"Andrew Lee","orcid":"https://orcid.org/0009-0003-1909-1854","observed_orcids":["https://orcid.org/0009-0003-1909-1854"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062276512","display_name":"James W. Pennebaker","orcid":"https://orcid.org/0000-0001-9091-214X","observed_orcids":["https://orcid.org/0000-0001-9091-214X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James W. Pennebaker","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082450455","display_name":"Rada F. Mihalcea","orcid":"https://orcid.org/0000-0002-0767-6703","observed_orcids":["https://orcid.org/0000-0002-0767-6703"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rada Mihalcea","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":true,"cited_by_count":1,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.24799999594688416,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.24799999594688416,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12488","display_name":"Mental Health via Writing","score":0.15219999849796295,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.08060000091791153,"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/large-language-models","display_name":"large language models","score":0.7329999804496765},{"id":"https://openalex.org/keywords/preference-optimization","display_name":"preference optimization","score":0.7139999866485596},{"id":"https://openalex.org/keywords/instruction-tuning","display_name":"instruction tuning","score":0.652999997138977},{"id":"https://openalex.org/keywords/depressive-traits","display_name":"depressive traits","score":0.6050000190734863},{"id":"https://openalex.org/keywords/role-play","display_name":"role play","score":0.5419999957084656},{"id":"https://openalex.org/keywords/expert-annotation","display_name":"expert annotation","score":0.49300000071525574}],"concepts":[{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7337462902069092},{"id":"https://openalex.org/C2776867660","wikidata":"https://www.wikidata.org/wiki/Q1814941","display_name":"Depression (economics)","level":2,"score":0.6959593296051025},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.44313323497772217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4079616069793701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3220006823539734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22511735558509827},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.15738391876220703},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15462180972099304},{"id":"https://openalex.org/C165556158","wikidata":"https://www.wikidata.org/wiki/Q83937","display_name":"Keynesian economics","level":1,"score":0.054772645235061646}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.31234/osf.io/4byrv_v1","doi":"https://doi.org/10.31234/osf.io/4byrv_v1","is_oa":false,"landing_page_url":"https://doi.org/10.31234/osf.io/4byrv_v1","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},{"id":"pmh:oai:arXiv.org:2503.00018","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.00018","pdf_url":"https://arxiv.org/pdf/2503.00018","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:share.osf.io:438a7e39-2a5d-4470-be25-a8df2ce6afd1","doi":null,"is_oa":false,"landing_page_url":"https://osf.io/tjrza","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"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":"Project"},{"id":"pmh:oai:share.osf.io:fec0d1c1-6879-43c6-bc40-235555e706a0","doi":null,"is_oa":false,"landing_page_url":"https://osf.io/4byrv","pdf_url":null,"source":{"id":"https://openalex.org/S4306401687","display_name":"PsyArXiv (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"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":"Preprint"},{"id":"doi:10.48550/arxiv.2503.00018","doi":"https://doi.org/10.48550/arxiv.2503.00018","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.00018","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:2503.00018","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.00018","pdf_url":"https://arxiv.org/pdf/2503.00018","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.428600013256073}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4408015437.pdf","grobid_xml":"https://content.openalex.org/works/W4408015437.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4412888100","https://openalex.org/W7131181881","https://openalex.org/W4403835960","https://openalex.org/W4410110516","https://openalex.org/W7158299073","https://openalex.org/W6929600419","https://openalex.org/W7222411343","https://openalex.org/W7163166242","https://openalex.org/W7140317308","https://openalex.org/W4404782385"],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"been":[5],"previously":[6],"explored":[7],"for":[8,37,76,126],"mental":[9],"healthcare":[10],"training":[11],"and":[12,27,65,69,94,120,149],"therapy":[13],"client":[14,25],"simulation,":[15],"but":[16],"they":[17],"still":[18],"fall":[19],"short":[20],"in":[21,146],"authentically":[22],"capturing":[23],"diverse":[24],"traits":[26,60],"psychological":[28,66,124],"conditions.":[29],"We":[30],"introduce":[31],"\\textbf{Eeyore},":[32],"an":[33],"8B":[34],"model":[35,133],"optimized":[36],"realistic":[38],"depression":[39,137],"simulation":[40,138],"through":[41],"a":[42,98],"structured":[43,123],"alignment":[44],"framework,":[45],"incorporating":[46],"expert":[47],"input":[48],"at":[49],"every":[50],"stage.First,":[51],"we":[52,107],"systematically":[53],"curate":[54],"real-world":[55],"depression-related":[56],"conversations,":[57],"extracting":[58],"depressive":[59],"to":[61,73,80,116],"guide":[62],"data":[63],"filtering":[64],"profile":[67,77,150],"construction,":[68],"use":[70],"this":[71],"dataset":[72],"instruction-tune":[74],"Eeyore":[75,84,136],"adherence.":[78,151],"Next,":[79],"further":[81],"enhance":[82],"realism,":[83],"undergoes":[85],"iterative":[86],"preference":[87],"optimization":[88],"-":[89],"first":[90],"leveraging":[91],"model-generated":[92],"preferences":[93],"then":[95],"calibrating":[96],"with":[97,110,141],"small":[99],"set":[100],"of":[101],"expert-annotated":[102],"preferences.Throughout":[103],"the":[104,135],"entire":[105],"pipeline,":[106],"actively":[108],"collaborate":[109],"domain":[111],"experts,":[112],"developing":[113],"interactive":[114],"interfaces":[115],"validate":[117],"trait":[118],"extraction":[119],"iteratively":[121],"refine":[122],"profiles":[125],"clinically":[127],"meaningful":[128],"role-play":[129],"customization.Despite":[130],"its":[131],"smaller":[132],"size,":[134],"outperforms":[139],"GPT-4o":[140],"SOTA":[142],"prompting":[143],"strategies,":[144],"both":[145],"linguistic":[147],"authenticity":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-02-28T00:00:00"}