{"id":"https://openalex.org/W7157019768","doi":"https://doi.org/10.48550/arxiv.2604.24536","title":"Generating Place-Based Compromises Between Two Points of View","display_name":"Generating Place-Based Compromises Between Two Points of View","publication_year":2026,"publication_date":"2026-04-27","ids":{"openalex":"https://openalex.org/W7157019768","doi":"https://doi.org/10.48550/arxiv.2604.24536"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.24536","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24536","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,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.24536","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007411979","display_name":"Sumanta Bhattacharyya","orcid":"https://orcid.org/0000-0002-4089-0605"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhattacharyya, Sumanta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088715822","display_name":"Francine Chen","orcid":"https://orcid.org/0000-0002-0723-5609"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Francine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091801987","display_name":"Scott Carter","orcid":"https://orcid.org/0000-0002-2942-972X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carter, Scott","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034909215","display_name":"Yan-Ying Chen","orcid":"https://orcid.org/0009-0000-5901-1538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yan-Ying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055893193","display_name":"Tatiana Lau","orcid":"https://orcid.org/0000-0002-0681-7295"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lau, Tatiana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045951556","display_name":"Nayeli Suseth Bravo","orcid":"https://orcid.org/0000-0001-9238-9831"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bravo, Nayeli Suseth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050024027","display_name":"Monica P Van","orcid":"https://orcid.org/0000-0001-7028-3462"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Van, Monica P.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134773758","display_name":"Kate Sieck","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sieck, Kate","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134808166","display_name":"Charlene C. Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Charlene C.","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":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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.679099977016449,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.679099977016449,"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/T10028","display_name":"Topic Modeling","score":0.09319999814033508,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.04569999873638153,"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/compromise","display_name":"Compromise","score":0.6654000282287598},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.554099977016449},{"id":"https://openalex.org/keywords/neutrality","display_name":"Neutrality","score":0.43290001153945923},{"id":"https://openalex.org/keywords/empathy","display_name":"Empathy","score":0.38920000195503235},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.3564000129699707},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.34310001134872437},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.3368000090122223},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3269999921321869}],"concepts":[{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.6654000282287598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6144000291824341},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.554099977016449},{"id":"https://openalex.org/C2779581858","wikidata":"https://www.wikidata.org/wiki/Q9049677","display_name":"Neutrality","level":2,"score":0.43290001153945923},{"id":"https://openalex.org/C2779885105","wikidata":"https://www.wikidata.org/wiki/Q182263","display_name":"Empathy","level":2,"score":0.38920000195503235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3677000105381012},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3368000090122223},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3249000012874603},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32170000672340393},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C2776639384","wikidata":"https://www.wikidata.org/wiki/Q840396","display_name":"Ideal (ethics)","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28949999809265137},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.26829999685287476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2671999931335449},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.2556000053882599},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C62064638","wikidata":"https://www.wikidata.org/wiki/Q553878","display_name":"Design for manufacturability","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.24536","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24536","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,"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.24536","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.24536","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,"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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.5745297074317932,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"excel":[4],"academically":[5],"but":[6],"struggle":[7],"with":[8],"social":[9],"intelligence":[10],"tasks,":[11],"such":[12],"as":[13,91],"creating":[14],"good":[15],"compromises.":[16,115],"In":[17],"this":[18],"paper,":[19],"we":[20],"present":[21],"methods":[22,39],"for":[23,63,75,142],"generating":[24,76],"empathically":[25],"neutral":[26],"compromises":[27,60,77,120],"between":[28,78,85],"two":[29,79,126],"opposing":[30],"viewpoints.":[31],"We":[32,69],"first":[33],"compared":[34],"four":[35],"different":[36],"prompt":[37],"engineering":[38],"using":[40],"Claude":[41],"3":[42],"Opus":[43],"and":[44,88,138],"a":[45,66,86],"dataset":[46,117],"of":[47,56,98,108,114,118,133],"2,400":[48],"contrasting":[49],"views":[50,80],"on":[51],"shared":[52],"places.":[53],"A":[54],"subset":[55],"the":[57,72,106,112,140],"gen":[58],"erated":[59],"was":[61,121],"evaluated":[62],"acceptability":[64,113],"in":[65],"50-participant":[67],"study.":[68],"found":[70],"that":[71,105],"best":[73],"method":[74],"used":[81,123],"external":[82],"empathic":[83,109],"similarity":[84],"compromise":[87],"each":[89],"viewpoint":[90],"iterative":[92],"feedback,":[93],"outperforming":[94],"stan":[95],"dard":[96],"Chain":[97],"Thought":[99],"(CoT)":[100],"reasoning.":[101],"The":[102,116],"results":[103],"indicate":[104],"use":[107],"neutrality":[110],"improves":[111],"generated":[119],"then":[122],"to":[124],"train":[125],"smaller":[127],"foundation":[128],"models":[129],"via":[130],"margin-based":[131],"alignment":[132],"human":[134],"preferences,":[135],"improving":[136],"efficiency":[137],"removing":[139],"need":[141],"empathy":[143],"estimation":[144],"during":[145],"inference.":[146]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-29T00:00:00"}
