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Recent advancements in large language models (LLMs) have significantly boosted the rise of Role-Playing Language Agents (RPLAs), i.e., specialized AI systems designed to simulate assigned personas.
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Automatic goal generation for reinforcement learning agents
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A call for clarity in reporting bleu scores
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Personalizing dialogue agents: I have a dog, do you have pets too?
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Mitigating gender bias in natural language processing: Literature review
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Qianyan-chinese persona chat dataset
Baidu · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D 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 Ziegler, Jeffrey Wu, Clemens Winter, Chris 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
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The second conversational intelligence challenge (convai2)
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Dense passage retrieval for open-domain question answering
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela · 2020
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Explainable ai: A review of machine learning interpretability methods
Pantelis Linardatos, Vasilis Papastefanopoulos, and Sotiris Kotsiantis · 2020
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Linformer: Self-attention with linear complexity
Sinong Wang, Belinda Z Li, Madian Khabsa, Han Fang, and Hao Ma · 2020
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" let your characters tell their story": A dataset for character-centric narrative understanding
Faeze Brahman, Meng Huang, Oyvind Tafjord, Chao Zhao, Mrinmaya Sachan, and Snigdha Chaturvedi · 2021
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A survey on conversational recommender systems
Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, and Li Chen · 2021
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Dialogue history matters! personalized response selection in multi-turn retrieval-based chatbots
Juntao Li, Chang Liu, Chongyang Tao, Zhangming Chan, Dongyan Zhao, Min Zhang, and Rui Yan · 2021
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Descent-to-delete: Gradient-based methods for machine unlearning
Seth Neel, Aaron Roth, and Saeed Sharifi-Malvajerdi · 2021
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Stylized dialogue response generation using stylized unpaired texts
Yinhe Zheng, Zikai Chen, Rongsheng Zhang, Shilei Huang, Xiaoxi Mao, and Minlie Huang · 2021
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Neuro-symbolic language modeling with automaton-augmented retrieval
Uri Alon, Frank Xu, Junxian He, Sudipta Sengupta, Dan Roth, and Graham Neubig · 2022
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Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George Bm Van Den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, et al · 2022
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Evaluating the susceptibility of pre-trained language models via handcrafted adversarial examples
Hezekiah J Branch, Jonathan Rodriguez Cefalu, Jeremy McHugh, Leyla Hujer, Aditya Bahl, Daniel del Castillo Iglesias, Ron Heichman, and Ramesh Darwishi · 2022
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Identifying and manipulating the personality traits of language models
Graham Caron and Shashank Srivastava · 2022
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A personalized dialogue generator with implicit user persona detection
Itsugun Cho, Dongyang Wang, Ryota Takahashi, and Hiroaki Saito · 2022
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Lamda: Language models for dialog applications
Aaron Daniel Cohen, Adam Roberts, Alejandra Molina, Alena Butryna, Alicia Jin, Apoorv Kulshreshtha, Ben Hutchinson, Ben Zevenbergen, Blaise Hilary Aguera-Arcas, Chung ching Chang, Claire Cui, Cosmo Du, Daniel De Freitas Adiwardana, Dehao Chen, Dmitry (Dima) Lepikhin, Ed H. Chi, Erin Hoffman-John, Heng-Tze Cheng, Hongrae Lee, Igor Krivokon, James Qin, Jamie Hall, Joe Fenton, Johnny Soraker, Kathy Meier-Hellstern, Kristen Olson, Lora Mois Aroyo, Maarten Paul Bosma, Marc Joseph Pickett, Marcelo Amorim Menegali, Marian Croak, Mark Díaz, Matthew Lamm, Maxim Krikun, Meredith Ringel Morris, Noam Shazeer, Quoc V. Le, Rachel Bernstein, Ravi Rajakumar, Ray Kurzweil, Romal Thoppilan, Steven Zheng, Taylor Bos, Toju Duke, Tulsee Doshi, Vincent Y. Zhao, Vinodkumar Prabhakaran, Will Rusch, YaGuang Li, Yanping Huang, Yanqi Zhou, Yuanzhong Xu, and Zhifeng Chen · 2022
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Bhavana Dalvi Mishra, Oyvind Tafjord, and Peter Clark · 2022
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Human-level play in the game of <i>diplomacy</i> by combining language models with strategic reasoning
FAIR, Anton Bakhtin, Noam Brown, Emily Dinan, Gabriele Farina, Colin Flaherty, Daniel Fried, Andrew Goff, Jonathan Gray, Hengyuan Hu, Athul Paul Jacob, Mojtaba Komeili, Karthik Konath, Minae Kwon, Adam Lerer, Mike Lewis, Alexander H. Miller, Sasha Mitts, Adithya Renduchintala, Stephen Roller, Dirk Rowe, Weiyan Shi, Joe Spisak, Alexander Wei, David Wu, Hugh Zhang, and Markus Zijlstra · 2022
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Meet your favorite character: Open-domain chatbot mimicking fictional characters with only a few utterances
Seungju Han, Beomsu Kim, Jin Yong Yoo, Seokjun Seo, Sangbum Kim, Enkhbayar Erdenee, and Buru Chang · 2022
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Call for customized conversation: Customized conversation grounding persona and knowledge
Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Donghoon Shin, Seungryong Kim, and Heuiseok Lim · 2022
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Estimating the personality of white-box language models
Saketh Reddy Karra, Son The Nguyen, and Theja Tulabandhula · 2022
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Is gpt-3 a psychopath? evaluating large language models from a psychological perspective
Xingxuan Li, Yutong Li, Linlin Liu, Lidong Bing, and Shafiq Joty · 2022
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Improving personality consistency in conversation by persona extending
Yifan Liu, Wei Wei, Jiayi Liu, Xianling Mao, Rui Fang, and Dangyang Chen · 2022
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Who is GPT-3? an exploration of personality, values and demographics
Marilù Miotto, Nicola Rossberg, and Bennett Kleinberg · 2022
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Chatgpt, 2022
OpenAI · 2022
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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 Gray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Christiano, Jan Leike, and Ryan Lowe · 2022
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Talm: Tool augmented language models
Aaron Parisi, Yao Zhao, and Noah Fiedel · 2022
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Social simulacra: Creating populated prototypes for social computing systems
Joon Sung Park, Lindsay Popowski, Carrie Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein · 2022
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Ignore previous prompt: Attack techniques for language models
Fábio Perez and Ian Ribeiro · 2022
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Cosplay: Concept set guided personalized dialogue generation across both party personas
Chen Xu, Piji Li, Wei Wang, Haoran Yang, Siyun Wang, and Chuangbai Xiao · 2022
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Few-shot character understanding in movies as an assessment to meta-learning of theory-of-mind
Mo Yu, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Jing Li, Yue Yu, and Jie Zhou · 2022
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Conversational health agents: A personalized llm-powered agent framework
Mahyar Abbasian, Iman Azimi, Amir M Rahmani, and Ramesh Jain · 2023
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Multimodal persona based generation of comic dialogs
Harsh Agrawal, Aditya Mishra, Manish Gupta, et al · 2023
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MPCHAT: Towards multimodal persona-grounded conversation
Jaewoo Ahn, Yeda Song, Sangdoo Yun, and Gunhee Kim · 2023
Earlier work this paper cites.
Rohan Anil, Andrew M Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, et al · 2023
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Knowledge-augmented large language models for personalized contextual query suggestion
Jinheon Baek, Nirupama Chandrasekaran, Silviu Cucerzan, Allen Herring, and Sujay Kumar Jauhar · 2023
Earlier work this paper cites.
Tallrec: An effective and efficient tuning framework to align large language model with recommendation, 2023
Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, and Xiangnan He · 2023
Earlier work this paper cites.
Leveraging large language models for decision support in personalized oncology
Manuela Benary, Xing David Wang, Max Schmidt, Dominik Soll, Georg Hilfenhaus, Mani Nassir, Christian Sigler, Maren Knödler, Ulrich Keller, Dieter Beule, et al · 2023
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Optimizing retrieval-augmented reader models via token elimination
Moshe Berchansky, Peter Izsak, Avi Caciularu, Ido Dagan, and Moshe Wasserblat · 2023
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A theoretical computer science perspective on consciousness and artificial general intelligence
Lenore Blum and Manuel Blum · 2023
Earlier work this paper cites.
Chemcrow: Augmenting large-language models with chemistry tools
Andres M Bran, Sam Cox, Andrew D White, and Philippe Schwaller · 2023
Earlier work this paper cites.
clembench: Using game play to evaluate chat-optimized language models as conversational agents
Kranti Chalamalasetti, Jana Götze, Sherzod Hakimov, Brielen Madureira, Philipp Sadler, and David Schlangen · 2023
Earlier work this paper cites.
Jailbreaking black box large language models in twenty queries
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J Pappas, and Eric Wong · 2023
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Be selfish, but wisely: Investigating the impact of agent personality in mixed-motive human-agent interactions
Kushal Chawla, Ian Wu, Yu Rong, Gale Lucas, and Jonathan Gratch · 2023
Cited alongside, same era.
Large language models meet harry potter: A dataset for aligning dialogue agents with characters
Nuo Chen, Yan Wang, Haiyun Jiang, Deng Cai, Yuhan Li, Ziyang Chen, Longyue Wang, and Jia Li · 2023
Cited alongside, same era.
ChatCoT: Tool-augmented chain-of-thought reasoning on chat-based large language models
Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Xin Zhao, and Ji-Rong Wen · 2023
Cited alongside, same era.
When crowd meets persona: Creating a large-scale open-domain persona dialogue corpus
Won Ik Cho, Yoon Kyung Lee, Seoyeon Bae, Jihwan Kim, Sangah Park, Moosung Kim, Sowon Hahn, and Nam Soo Kim · 2023
Cited alongside, same era.
Inducing anxiety in large language models increases exploration and bias
Building persona consistent dialogue agents with offline reinforcement learning
Ryan Shea and Zhou Yu · 2023
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Reflexion: Language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Beck Labash, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 2023
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Llm-planner: Few-shot grounded planning for embodied agents with large language models
Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M Sadler, Wei-Lun Chao, and Yu Su · 2023
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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
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Beyond memorization: Violating privacy via inference with large language models
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Julian Coda-Forno, Kristin Witte, Akshay K Jagadish, Marcel Binz, Zeynep Akata, and Eric Schulz · 2023
Cited alongside, same era.
Toxicity in chatgpt: Analyzing persona-assigned language models
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, and Karthik Narasimhan · 2023
Cited alongside, same era.
Towards next-generation intelligent assistants leveraging llm techniques
Xin Luna Dong, Seungwhan Moon, Yifan Ethan Xu, Kshitiz Malik, and Zhou Yu · 2023
Cited alongside, same era.
Tooltalk: Evaluating tool-usage in a conversational setting
Nicholas Farn and Richard Shin · 2023
Cited alongside, same era.
Reflective linguistic programming (rlp): A stepping stone in socially-aware agi (socialagi)
Kevin A Fischer · 2023
Cited alongside, same era.
Gemini: a family of highly capable multimodal models
Gemini Team Google · 2023
Cited alongside, same era.
Pippa: A partially synthetic conversational dataset, 2023
Tear Gosling, Alpin Dale, and Yinhe Zheng · 2023
Cited alongside, same era.
Critic: Large language models can self-correct with tool-interactive critiquing
Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Nan Duan, and Weizhu Chen · 2023
Cited alongside, same era.
Robin Staab, Mark Vero, Mislav Balunović, and Martin Vechev · 2023
Later among the works it cites.
Roformer: Enhanced transformer with rotary position embedding
Jianlin Su, Murtadha Ahmed, Yu Lu, Shengfeng Pan, Wen Bo, and Yunfeng Liu · 2023
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Large language models as source planner for personalized knowledge-grounded dialogues
Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, and Kam-Fai Wong · 2023
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Zero-shot next-item recommendation using large pretrained language models, 2023
Lei Wang and Ee-Peng Lim · 2023
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Unveiling the implicit toxicity in large language models
Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, and Minlie Huang · 2023
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Llm-powered autonomous agents
Lilian Weng · 2023
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A survey on large language models for recommendation, 2023
Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, and Enhong Chen · 2023
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Adaptive chameleon or stubborn sloth: Revealing the behavior of large language models in knowledge conflicts
Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, and Yu Su · 2023
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Bias and fairness in chatbots: An overview
Jintang Xue, Yun-Cheng Wang, Chengwei Wei, Xiaofeng Liu, Jonghye Woo, and C-C Jay Kuo · 2023
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Realpersonachat: A realistic persona chat corpus with interlocutors’ own personalities
Sanae Yamashita, Koji Inoue, Ao Guo, Shota Mochizuki, Tatsuya Kawahara, and Ryuichiro Higashinaka · 2023
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Privacy-friendly personalization of llm responses using hashed entity injection
Keun Soo Yim · 2023
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Personality understanding of fictional characters during book reading
Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Zhou Xiao, Fandong Meng, and Jie Zhou · 2023
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Distilling script knowledge from large language models for constrained language planning
Siyu Yuan, Jiangjie Chen, Ziquan Fu, Xuyang Ge, Soham Shah, Charles Jankowski, Yanghua Xiao, and Deqing Yang · 2023
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Building cooperative embodied agents modularly with large language models
Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua Tenenbaum, Tianmin Shu, and Chuang Gan · 2023
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Automatically eliciting toxic outputs from pre-trained language models
Xu Zhang and Xiaojun Wan · 2023
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Memorybank: Enhancing large language models with long-term memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao, and Yanlin Wang · 2023
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Learning to predict persona information for dialogue personalization without explicit persona description
Wangchunshu Zhou, Qifei Li, and Chenle Li · 2023
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TimeChara: Evaluating point-in-time character hallucination of role-playing large language models
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Scaling synthetic data creation with 1,000,000,000 personas
Xin Chan, Xiaoyang Wang, Dian Yu, Haitao Mi, and Dong Yu · 2024
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Make large language model a better ranker, 2024
Wenshuo Chao, Zhi Zheng, Hengshu Zhu, and Hao Liu · 2024
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Socialbench: Sociality evaluation of role-playing conversational agents
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Self-playing adversarial language game enhances llm reasoning
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Sociodemographic bias in language models: A survey and forward path, 2024
Vipul Gupta, Pranav Narayanan Venkit, Shomir Wilson, and Rebecca J. Passonneau · 2024
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Large language models are zero-shot rankers for recommender systems, 2024
Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian McAuley, and Wayne Xin Zhao · 2024
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Mmtom-qa: Multimodal theory of mind question answering, 2024
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Commonsense-augmented memory construction and management in long-term conversations via context-aware persona refinement, 2024
Hana Kim, Kai Tzu iunn Ong, Seoyeon Kim, Dongha Lee, and Jinyoung Yeo · 2024
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The ethics of interaction: Mitigating security threats in llms, 2024
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Stark: Social long-term multi-modal conversation with persona commonsense knowledge, 2024
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Recai: Leveraging large language models for next-generation recommender systems
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World model on million-length video and language with ringattention
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Large language models are superpositions of all characters: Attaining arbitrary role-play via self-alignment
Keming Lu, Bowen Yu, Chang Zhou, and Jingren Zhou · 2024
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Microsoft copilot, 2024
Microsoft · 2024
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Presentations by the humans and for the humans: Harnessing llms for generating persona-aware slides from documents
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Having beer after prayer? measuring cultural bias in large language models, 2024
Tarek Naous, Michael J. Ryan, Alan Ritter, and Wei Xu · 2024
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How well can llms echo us? evaluating ai chatbots’ role-play ability with echo, 2024
Man Tik Ng, Hui Tung Tse, Jen tse Huang, Jingjing Li, Wenxuan Wang, and Michael R. Lyu · 2024
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Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, and Yiyu Shi · 2024
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Direct preference optimization: Your language model is secretly a reward model, 2024
Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, and Chelsea Finn · 2024
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Yiting Ran, Xintao Wang, Rui Xu, Xinfeng Yuan, Jiaqing Liang, Yanghua Xiao, and Deqing Yang · 2024
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Can language models recognize convincing arguments?, 2024
Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu, and Robert West · 2024
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Lamp: When large language models meet personalization, 2024
Alireza Salemi, Sheshera Mysore, Michael Bendersky, and Hamed Zamani · 2024
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Personagym: Evaluating persona agents and llms
Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik Narasimhan, and Vishvak Murahari · 2024
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User modeling challenges in interactive ai assistant systems, 2024
Megan Su and Yuwei Bao · 2024
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Persona-db: Efficient large language model personalization for response prediction with collaborative data refinement, 2024
Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi R. Fung, Hou Pong Chan, ChengXiang Zhai, and Heng Ji · 2024
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Phantom: Personality has an effect on theory-of-mind reasoning in large language models, 2024
Fiona Anting Tan, Gerard Christopher Yeo, Fanyou Wu, Weijie Xu, Vinija Jain, Aman Chadha, Kokil Jaidka, Yang Liu, and See-Kiong Ng · 2024
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Enhancing role-playing systems through aggressive queries: Evaluation and improvement
Yihong Tang, Jiao Ou, Che Liu, Fuzheng Zhang, Di Zhang, and Kun Gai · 2024
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Charactereval: A chinese benchmark for role-playing conversational agent evaluation
Quan Tu, Shilong Fan, Zihang Tian, and Rui Yan · 2024
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Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change
Karthik Valmeekam, Matthew Marquez, Alberto Olmo, Sarath Sreedharan, and Subbarao Kambhampati · 2024
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RoleLLM: Benchmarking, eliciting, and enhancing role-playing abilities of large language models
Noah Wang, Z.y. Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Jie Fu, and Junran Peng · 2024
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