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Persona-driven role-playing (PRP) aims to build AI characters that can respond to user queries by faithfully sticking with all persona statements.
Constraint satisfaction problems: Algorithms and applications
Brailsford, S. C., Potts, C. N., and Smith, B. M · 1999
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The approximability of MAX CSP with fixed-value constraints
Deineko, V. G., Jonsson, P., Klasson, M., and Krokhin, A. A · 2008
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Natural Logic and Natural Language Inference , pp. 129–147
MacCartney, B. and Manning, C. D · 2014
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A large annotated corpus for learning natural language inference
Bowman, S. R., Angeli, G., Potts, C., and Manning, C. D · 2015
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Decoupled weight decay regularization
Loshchilov, I. and Hutter, F · 2019
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Language models are few-shot learners
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., Hesse, C., Chen, M., Sigler, E., Litwin, M., Gray, S., Chess, B., Clark, J., Berner, C., McCandlish, S., Radford, A., Sutskever, I., and Amodei, D · 2020
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Retrieval-augmented generation for knowledge-intensive NLP tasks
Lewis, P. S. H., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W., Rocktäschel, T., Riedel, S., and Kiela, D · 2020
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He, P., Gao, J., and Chen, W · 2021
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Lora: Low-rank adaptation of large language models
Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W · 2021
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Han, S., Kim, B., Yoo, J. Y., Seo, S., Kim, S., Erdenee, E., and Chang, B · 2022
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Data contamination: From memorization to exploitation
Magar, I. and Schwartz, R · 2022
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Training language models to follow instructions with human feedback
Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C. L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P. F., Leike, J., and Lowe, R · 2022
Cited alongside, same era.
Personalized soups: Personalized large language model alignment via post-hoc parameter merging
Jang, J., Kim, S., Lin, B. Y., Wang, Y., Hessel, J., Zettlemoyer, L., Hajishirzi, H., Choi, Y., and Ammanabrolu, P · 2023
Cited alongside, same era.
Chatharuhi: Reviving anime character in reality via large language model
Li, C., Leng, Z., Yan, C., Shen, J., Wang, H., MI, W., Fei, Y., Feng, X., Yan, S., Wang, H., Zhan, L., Jia, Y., Wu, P., and Sun, H · 2023
Cited alongside, same era.
OpenAI · 2023
Cited alongside, same era.
How well can llms negotiate? negotiationarena platform and analysis
Bianchi, F., Chia, P. J., Yüksekgönül, M., Tagliabue, J., Jurafsky, D., and Zou, J · 2024
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A survey on large language model-based game agents
Hu, S., Huang, T., Ilhan, F., Tekin, S., Liu, G., Kompella, R., and Liu, L · 2024
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Gemma: Open models based on gemini research and technology
Mesnard, T., Hardin, C., Dadashi, R., Bhupatiraju, S., Pathak, S., Sifre, L., Rivière, M., Kale, M. S., Love, J., Tafti, P., Hussenot, L., Chowdhery, A., Roberts, A., Barua, A., Botev, A., Castro-Ros, A., Slone, A., Héliou, A., Tacchetti, A., Bulanova, A., Paterson, A., Tsai, B., Shahriari, B., Lan, C. L., Choquette-Choo, C. A., Crepy, C., Cer, D., Ippolito, D., Reid, D., Buchatskaya, E., Ni, E., Noland, E., Yan, G., Tucker, G., Muraru, G., Rozhdestvenskiy, G., Michalewski, H., Tenney, I., Grishchenko, I., Austin, J., Keeling, J., Labanowski, J., Lespiau, J., Stanway, J., Brennan, J., Chen, J., Ferret, J., Chiu, J., and et al · 2024
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Enhancing role-playing systems through aggressive queries: Evaluation and improvement
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Rafailov, R., Sharma, A., Mitchell, E., Manning, C. D., Ermon, S., and Finn, C · 2023
Cited alongside, same era.
Role play with large language models
Shanahan, M., McDonell, K., and Reynolds, L · 2023
Cited alongside, same era.
Character-llm: A trainable agent for role-playing
Shao, Y., Li, L., Dai, J., and Qiu, X · 2023
Cited alongside, same era.
Roleeval: A bilingual role evaluation benchmark for large language models
Shen, T., Li, S., and Xiong, D · 2023
Cited alongside, same era.
LARP: language-agent role play for open-world games
Yan, M., Li, R., Zhang, H., Wang, H., Yang, Z., and Yan, J · 2023
Cited alongside, same era.
Unleasing chatgpt on the metaverse: Savior or destroyer?
Zhou, P · 2023
Cited alongside, same era.
Roleinteract: Evaluating the social interaction of role-playing agents
Chen, H., Chen, H., Yan, M., Xu, W., Gao, X., Shen, W., Quan, X., Li, C., Zhang, J., Huang, F., et al
Cited in the paper.
Apollonion: Profile-centric dialog agent
Chen, S., Zhao, Z., Zhao, Y., and Li, X
Cited in the paper.
Tang, Y., Ou, J., Liu, C., Zhang, F., Zhang, D., and Gai, K · 2024
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Rolecraft-glm: Advancing personalized role-playing in large language models
Tao, M., Liang, X., Shi, T., Yu, L., and Xie, Y · 2024
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Charactereval: A chinese benchmark for role-playing conversational agent evaluation
Tu, Q., Fan, S., Tian, Z., and Yan, R · 2024
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Character is destiny: Can large language models simulate persona-driven decisions in role-playing?
Xu, R., Wang, X., Chen, J., Yuan, S., Yuan, X., Liang, J., Chen, Z., Dong, X., and Xiao, Y · 2024
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Neeko: Leveraging dynamic lora for efficient multi-character role-playing agent
Yu, X., Luo, T., Wei, Y., Lei, F., Huang, Y., Peng, H., and Zhu, L · 2024
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Mathvc: An llm-simulated multi-character virtual classroom for mathematics education
Yue, M., Mifdal, W., Zhang, Y., Suh, J., and Yao, Z · 2024
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Zhang, S., Lu, Y., Liu, J., Yu, J., Qiu, H., Yan, Y., and Lan, Z · 2024
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