Fetching the paper…
Reading the bibliography…
Role-playing agents (RPAs), powered by large language models, have emerged as a flourishing field of applications.
Notes on the history of correlation
Karl Pearson. 1920 · 1920
Earlier work this paper cites.
A new measure of rank correlation
Maurice G Kendall. 1938 · 1938
Earlier work this paper cites.
The proof and measurement of association between two things
Charles Spearman. 1961 · 1961
Earlier work this paper cites.
Weighed kappa: Nominal scale agreement with provision for scaled disagreement or partial credit
Jacob. Cohen. 1968 · 1968
Earlier work this paper cites.
Bem sex role inventory
Sandra L Bem. 1981 · 1981
Earlier work this paper cites.
A comparison of self-reported versus clinician-related symptoms in depression
A John Rush, William Hiser, and Donna E Giles. 1987 · 1987
Earlier work this paper cites.
The big five personality dimensions and job performance: a meta-analysis
Murray R Barrick and Michael K Mount. 1991 · 1991
Earlier work this paper cites.
A structured interview for the assessment of the five-factor model of personality
Timothy J Trull, Thomas A Widiger, J David Useda, Jay Holcomb, Bao-Tran Doan, Seth R Axelrod, Barry L Stern, and Beth S Gershuny. 1998 · 1998
Earlier work this paper cites.
Self-reported versus clinician-rated symptoms of depression as outcome measures in psychotherapy research on depression: a meta-analysis
Pim Cuijpers, Juan Li, Stefan G Hofmann, and Gerhard Andersson. 2010 · 2010
Earlier work this paper cites.
The brain is a context machine
Danko Nikolić. 2010 · 2010
Earlier work this paper cites.
Self-report and clinician-rated measures of depression severity: can one replace the other?
Rudolf Uher, Roy H Perlis, Anna Placentino, Mojca Zvezdana Dernovšek, Neven Henigsberg, Ole Mors, Wolfgang Maier, Peter McGuffin, and Anne Farmer. 2012 · 2012
Earlier work this paper cites.
Structured clinical interview for the dsm (scid)
Michael B First. 2014 · 2014
Earlier work this paper cites.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
Earlier work this paper cites.
Mpi: Evaluating and inducing personality in pre-trained language models
Guangyuan Jiang, Manjie Xu, Song-Chun Zhu, Wenjuan Han, Chi Zhang, and Yixin Zhu. 2022 · 2022
Earlier work this paper cites.
Estimating the personality of white-box language models
Saketh Reddy Karra, Son The Nguyen, and Theja Tulabandhula. 2022 · 2022
Earlier work this paper cites.
Xingxuan Li, Yutong Li, Shafiq Joty, Linlin Liu, Fei Huang, Lin Qiu, and Lidong Bing. 2022 · 2022
Cited alongside, same era.
Who is GPT-3? an exploration of personality, values and demographics
Marilù Miotto, Nicola Rossberg, and Bennett Kleinberg. 2022 · 2022
Cited alongside, same era.
Openai: Introducing chatgpt
OpenAI. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed Chi, Quoc V Le, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
Do llms possess a personality? making the mbti test an amazing evaluation for large language models
Keyu Pan and Yawen Zeng. 2023 · 2023
Closest in time.
Do gpt language models suffer from split personality disorder? the advent of substrate-free psychometrics
Peter Romero, Stephen Fitz, and Teruo Nakatsuma. 2023 · 2023
Closest in time.
Personality traits in large language models
Mustafa Safdari, Greg Serapio-García, Clément Crepy, Stephen Fitz, Peter Romero, Luning Sun, Marwa Abdulhai, Aleksandra Faust, and Maja Matarić. 2023 · 2023
Closest in time.
Character-LLM: A trainable agent for role-playing
Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu. 2023a · 2023
Closest in time.
Character-LLM: A trainable agent for role-playing
Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu. 2023b · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, et al. 2023 · 2023
Cited alongside, same era.
Bojana Bodroza, Bojana M Dinic, and Ljubisa Bojic. 2023 · 2023
Cited alongside, same era.
Consciousness in artificial intelligence: Insights from the science of consciousness
Patrick Butlin, Robert Long, Eric Elmoznino, Yoshua Bengio, Jonathan Birch, Axel Constant, George Deane, Stephen M Fleming, Chris Frith, Xu Ji, et al. 2023 · 2023
Cited alongside, same era.
Inducing anxiety in large language models increases exploration and bias
Julian Coda-Forno, Kristin Witte, Akshay K Jagadish, Marcel Binz, Zeynep Akata, and Eric Schulz. 2023 · 2023
Cited alongside, same era.
Botchat: Evaluating llms’ capabilities of having multi-turn dialogues
Haodong Duan, Jueqi Wei, Chonghua Wang, Hongwei Liu, Yixiao Fang, Songyang Zhang, Dahua Lin, and Kai Chen. 2023 · 2023
Cited alongside, same era.
LiveChat: A large-scale personalized dialogue dataset automatically constructed from live streaming
Jingsheng Gao, Yixin Lian, Ziyi Zhou, Yuzhuo Fu, and Baoyuan Wang. 2023 · 2023
Cited alongside, same era.
The political ideology of conversational ai: Converging evidence on chatgpt’s pro-environmental, left-libertarian orientation
Jochen Hartmann, Jasper Schwenzow, and Maximilian Witte. 2023 · 2023
Cited alongside, same era.
Large language models (llms) and empathy-a systematic review
Vera Sorin, Danna Brin, Yiftach Barash, Eli Konen, Alexander Charney, Girish Nadkarni, and Eyal Klang. 2023 · 2023
Closest in time.
Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023 · 2023
Closest in time.
Characterchat: Learning towards conversational ai with personalized social support
Quan Tu, Chuanqi Chen, Jinpeng Li, Yanran Li, Shuo Shang, Dongyan Zhao, Ran Wang, and Rui Yan. 2023 · 2023
Closest in time.
Characterglm: Customizing chinese conversational ai characters with large language models
Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Libiao Peng, Jiaming Yang, Xiyao Xiao, et al. 2023 · 2023
Closest in time.
Who is chatgpt? benchmarking llms’ psychological portrayal using psychobench
Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, and Michael R Lyu. 2024 · 2024
Closest in time.
Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al. 2024 · 2024
Closest in time.
The self-perception and political biases of chatgpt
Jérôme Rutinowski, Sven Franke, Jan Endendyk, Ina Dormuth, Moritz Roidl, and Markus Pauly. 2024 · 2024
Closest in time.
Charactereval: A chinese benchmark for role-playing conversational agent evaluation
Quan Tu, Shilong Fan, Zihang Tian, and Rui Yan. 2024 · 2024
Closest in time.
Openchat: Advancing open-source language models with mixed-quality data
Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, and Yang Liu. 2024 · 2024
Closest in time.