{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,14]],"date-time":"2026-07-14T10:20:27Z","timestamp":1784024427067,"version":"3.55.0"},"reference-count":51,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,15]]},"DOI":"10.1109\/bigdata62323.2024.10825307","type":"proceedings-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T18:31:23Z","timestamp":1737052283000},"page":"6510-6519","source":"Crossref","is-referenced-by-count":28,"title":["Assessing Empathy in Large Language Models with Real-World Physician-Patient Interactions"],"prefix":"10.1109","author":[{"given":"Man","family":"Luo","sequence":"first","affiliation":[{"name":"Intel Lab,Santa Clara,U.S."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher J.","family":"Warren","sequence":"additional","affiliation":[{"name":"Mayo Clinic,Department of Urology,Phoenix,U.S."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lu","family":"Cheng","sequence":"additional","affiliation":[{"name":"University of Illinois Chicago,Department of Computer Science,Chicago,U.S."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haidar M.","family":"Abdul-Muhsin","sequence":"additional","affiliation":[{"name":"Mayo Clinic,Department of Urology,Phoenix,U.S."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Imon","family":"Banerjee","sequence":"additional","affiliation":[{"name":"Mayo Clinic,Department of Urology,Phoenix,U.S."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Gpt-4 technical report","author":"Achiam","year":"2023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.40922"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2023.1838"},{"key":"ref4","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref5","article-title":"Weak-to-strong generalization: Eliciting strong capabilities with weak supervision","author":"Burns","year":"2023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-008-9076-6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1057\/s41599-022-01174-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2018.12.029"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.83"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.12814"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1111\/head.14702"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2023.1169595"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1515\/lingvan-2018-0026"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1046\/j.1525-1497.2003.21017.x"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11019-013-9510-4"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642834"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27625-0"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1177\/00131640121971158"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i14.17539"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.2196\/12106"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.170"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1177\/0163278704267037"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747458"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz682"},{"key":"ref25","first-page":"669","article-title":"Does gpt-3 generate empathetic dialogues? a novel in-context example selection method and automatic evaluation metric for empathetic dialogue generation","volume-title":"Proceedings of the 29th International Conference on Computational Linguistics","author":"Lee"},{"key":"ref26","article-title":"Acute-eval: Improved dialogue evaluation with optimized questions and multiturn comparisons","author":"Li","year":"2019"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1230"},{"key":"ref28","article-title":"Roberta: A robustly optimized bert pretraining approach","author":"Liu","year":"2019"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.556"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21352"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3724\/2096-7004.di.2024.0012"},{"key":"ref32","article-title":"In-context learning with retrieved demonstrations for language models: A survey","author":"Luo","year":"2024"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbac409"},{"key":"ref34","article-title":"Mddial: A multi-turn differential diagnosis dialogue dataset with reliability evaluation","author":"Macherla","year":"2023"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/healthcare8010026"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1097\/ACM.0b013e318221e615"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1001\/jamanetworkopen.2018.0351"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-naacl.10"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1534"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.iotcps.2023.04.003"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/ime2040022"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1097\/00005650-199808000-00004"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.425"},{"key":"ref44","article-title":"Artificial empathy classification: A survey of deep learning techniques, datasets, and evaluation scales","author":"Tahir","year":"2023"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2020-045224"},{"key":"ref46","article-title":"Llama 2: Open foundation and fine-tuned chat models","author":"Touvron","year":"2023"},{"key":"ref47","article-title":"Emergent abilities of large language models","author":"Wei","year":"2022","journal-title":"Transactions on Machine Learning Research"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.429"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.96"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.2196\/35882"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1145\/3643540"}],"event":{"name":"2024 IEEE International Conference on Big Data (BigData)","location":"Washington, DC, USA","start":{"date-parts":[[2024,12,15]]},"end":{"date-parts":[[2024,12,18]]}},"container-title":["2024 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10824975\/10824942\/10825307.pdf?arnumber=10825307","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T07:46:26Z","timestamp":1737099986000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10825307\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,15]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/bigdata62323.2024.10825307","relation":{},"subject":[],"published":{"date-parts":[[2024,12,15]]}}}