{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T00:49:52Z","timestamp":1781052592721,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":53,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1925043"],"award-info":[{"award-number":["1925043"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Science Foundation","award":["2152163"],"award-info":[{"award-number":["2152163"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,26]]},"DOI":"10.1145\/3706599.3719853","type":"proceedings-article","created":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T20:20:42Z","timestamp":1745439642000},"page":"1-11","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["MAP: Multi-user Personalization with Collaborative LLM-powered Agents"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0991-8072","authenticated-orcid":false,"given":"Christine P.","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9719-3758","authenticated-orcid":false,"given":"Jihye","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9456-1495","authenticated-orcid":false,"given":"Bilge","family":"Mutlu","sequence":"additional","affiliation":[{"name":"Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,4,25]]},"reference":[{"key":"e_1_3_3_2_2_2","volume-title":"The Thirty-eighth Annual Conference on Neural Information Processing Systems","author":"Abbasi-Yadkori Yasin","year":"2024","unstructured":"Yasin Abbasi-Yadkori, Ilja Kuzborskij, Andr\u00e1s Gy\u00f6rgy, and Csaba Szepesvari. 2024. To Believe or Not to Believe Your LLM: IterativePrompting for Estimating Epistemic Uncertainty. In The Thirty-eighth Annual Conference on Neural Information Processing Systems. https:\/\/openreview.net\/forum?id=k6iyUfwdI9"},{"key":"e_1_3_3_2_3_2","unstructured":"Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad Ilge Akkaya Florencia\u00a0Leoni Aleman Diogo Almeida Janko Altenschmidt Sam Altman Shyamal Anadkat et\u00a0al. 2023. Gpt-4 technical report. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2303.08774 (2023)."},{"key":"e_1_3_3_2_4_2","unstructured":"Rohan Anil Sebastian Borgeaud Yonghui Wu Jean-Baptiste Alayrac Jiahui Yu Radu Soricut Johan Schalkwyk Andrew\u00a0M. Dai Anja Hauth Katie Millican David Silver Slav Petrov Melvin Johnson Ioannis Antonoglou Julian Schrittwieser Amelia Glaese Jilin Chen Emily Pitler Timothy Lillicrap Angeliki Lazaridou Orhan Firat et\u00a0al. 2023. Gemini: A Family of Highly Capable Multimodal Models. arxiv:https:\/\/arXiv.org\/abs\/2312.11805\u00a0[cs.CL]"},{"key":"e_1_3_3_2_5_2","unstructured":"Anthropic. 2024. The Claude 3 Model Family: Opus Sonnet Haiku. (2024). https:\/\/www-cdn.anthropic.com\/de8ba9b01c9ab7cbabf5c33b80b7bbc618857627\/Model_Card_Claude_3.pdf"},{"key":"e_1_3_3_2_6_2","unstructured":"Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen Nova DasSarma Dawn Drain Stanislav Fort Deep Ganguli Tom Henighan et\u00a0al. 2022. Training a helpful and harmless assistant with reinforcement learning from human feedback. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2204.05862 (2022)."},{"key":"e_1_3_3_2_7_2","unstructured":"Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared\u00a0D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et\u00a0al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020) 1877\u20131901."},{"key":"e_1_3_3_2_8_2","volume-title":"Machine Learning for Healthcare 2024","author":"Choi Jihye","year":"2024","unstructured":"Jihye Choi, Nils Palumbo, Prasad Chalasani, Matthew\u00a0M. Engelhard, Somesh Jha, Anivarya Kumar, and David Page. 2024. MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance. In Machine Learning for Healthcare 2024."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517500"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-5583-7_311"},{"key":"e_1_3_3_2_11_2","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","author":"Devlin Jeff","year":"2019","unstructured":"Jeff Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies."},{"key":"e_1_3_3_2_12_2","unstructured":"Yilun Du Shuang Li Antonio Torralba Joshua\u00a0B Tenenbaum and Igor Mordatch. 2023. Improving factuality and reasoning in language models through multiagent debate. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2305.14325 (2023)."},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Chen Gao Xiaochong Lan Nian Li Yuan Yuan Jingtao Ding Zhilun Zhou Fengli Xu and Yong Li. 2024. Large language models empowered agent-based modeling and simulation: A survey and perspectives. Humanities and Social Sciences Communications 11 1 (2024) 1\u201324.","DOI":"10.1057\/s41599-024-03611-3"},{"key":"e_1_3_3_2_14_2","unstructured":"Taicheng Guo Xiuying Chen Yaqi Wang Ruidi Chang Shichao Pei Nitesh\u00a0V Chawla Olaf Wiest and Xiangliang Zhang. 2024. Large language model based multi-agents: A survey of progress and challenges. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2402.01680 (2024)."},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.398"},{"key":"e_1_3_3_2_16_2","volume-title":"The Twelfth International Conference on Learning Representations","author":"Hong Sirui","year":"2024","unstructured":"Sirui Hong, Mingchen Zhuge, Jonathan Chen, Xiawu Zheng, Yuheng Cheng, Jinlin Wang, Ceyao Zhang, Zili Wang, Steven Ka\u00a0Shing Yau, Zijuan Lin, Liyang Zhou, Chenyu Ran, Lingfeng Xiao, Chenglin Wu, and J\u00fcrgen Schmidhuber. 2024. MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework. In The Twelfth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=VtmBAGCN7o"},{"key":"e_1_3_3_2_17_2","volume-title":"Forty-first International Conference on Machine Learning","author":"Hou Bairu","unstructured":"Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, and Yang Zhang. [n. d.]. Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. In Forty-first International Conference on Machine Learning."},{"key":"e_1_3_3_2_18_2","first-page":"2790","volume-title":"International conference on machine learning","author":"Houlsby Neil","year":"2019","unstructured":"Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin De\u00a0Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly. 2019. Parameter-efficient transfer learning for NLP. In International conference on machine learning. PMLR, 2790\u20132799."},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.154"},{"key":"e_1_3_3_2_20_2","unstructured":"Albert\u00a0Q Jiang Alexandre Sablayrolles Arthur Mensch Chris Bamford Devendra\u00a0Singh Chaplot Diego de\u00a0las Casas Florian Bressand Gianna Lengyel Guillaume Lample Lucile Saulnier et\u00a0al. 2023. Mistral 7B. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2310.06825 (2023)."},{"key":"e_1_3_3_2_21_2","unstructured":"Callie\u00a0Y Kim Christine\u00a0P Lee and Bilge Mutlu. 2024. Understanding Large-Language Model (LLM)-powered Human-Robot Interaction. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2401.03217 (2024)."},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580882"},{"key":"e_1_3_3_2_23_2","unstructured":"Minae Kwon Sang\u00a0Michael Xie Kalesha Bullard and Dorsa Sadigh. 2023. Reward design with language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2303.00001 (2023)."},{"key":"e_1_3_3_2_24_2","unstructured":"Christine Lee David Porfirio Xinyu\u00a0Jessica Wang Kevin Zhao and Bilge Mutlu. 2025. VeriPlan: Integrating Formal Verification and LLMs into End-User Planning. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2502.17898 (2025)."},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3643834.3661559"},{"key":"e_1_3_3_2_26_2","unstructured":"Patrick Lewis Ethan Perez Aleksandra Piktus Fabio Petroni Vladimir Karpukhin Naman Goyal Heinrich K\u00fcttler Mike Lewis Wen-tau Yih Tim Rockt\u00e4schel et\u00a0al. 2020. Retrieval-augmented generation for knowledge-intensive nlp tasks. Advances in Neural Information Processing Systems 33 (2020) 9459\u20139474."},{"key":"e_1_3_3_2_27_2","unstructured":"Percy Liang Rishi Bommasani Tony Lee Dimitris Tsipras Dilara Soylu Michihiro Yasunaga Yian Zhang Deepak Narayanan Yuhuai Wu Ananya Kumar et\u00a0al. 2023. Holistic Evaluation of Language Models. Transactions on Machine Learning Research (2023). https:\/\/openreview.net\/forum?id=iO4LZibEqW Featured Certification Expert Certification."},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.naacl-long.184"},{"key":"e_1_3_3_2_29_2","unstructured":"Yun Luo Zhen Yang Fandong Meng Yafu Li Jie Zhou and Yue Zhang. 2023. An empirical study of catastrophic forgetting in large language models during continual fine-tuning. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2308.08747 (2023)."},{"key":"e_1_3_3_2_30_2","unstructured":"Aman Madaan Niket Tandon Prakhar Gupta Skyler Hallinan Luyu Gao Sarah Wiegreffe Uri Alon Nouha Dziri Shrimai Prabhumoye Yiming Yang et\u00a0al. 2024. Self-refine: Iterative refinement with self-feedback. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"publisher","unstructured":"Nora McDonald Sarita Schoenebeck and Andrea Forte. 2019. Reliability and Inter-rater Reliability in Qualitative Research: Norms and Guidelines for CSCW and HCI Practice. Proceedings of the ACM on Human-Computer Interaction 3 (11 2019) 1\u201323. 10.1145\/3359174","DOI":"10.1145\/3359174"},{"key":"e_1_3_3_2_32_2","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg\u00a0S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. Advances in neural information processing systems 26 (2013)."},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/1349822.1349860"},{"key":"e_1_3_3_2_34_2","unstructured":"Otter.ai. 2023. Otter.ai: Voice Meeting Notes. https:\/\/otter.ai. \"Accessed = 03-01-2024\"."},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_3_2_36_2","unstructured":"Rafael Rafailov Archit Sharma Eric Mitchell Christopher\u00a0D Manning Stefano Ermon and Chelsea Finn. 2024. Direct preference optimization: Your language model is secretly a reward model. Advances in Neural Information Processing Systems 36 (2024)."},{"key":"e_1_3_3_2_37_2","unstructured":"Marc\u00a0Howard Ross. 2001. Action evaluation in the theory and practice of conflict resolution. Peace and Conflict Studies 8 1 (2001) 1\u201315."},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"crossref","unstructured":"Rothman. 1997. Action evaluation and conflict resolution training: Theory method and case study. International Negotiation 2 3 (1997) 451\u2013470.","DOI":"10.1163\/15718069720848059"},{"key":"e_1_3_3_2_39_2","volume-title":"NeurIPS 2023 Foundation Models for Decision Making Workshop","author":"Ruan Jingqing","year":"2023","unstructured":"Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, et\u00a0al. 2023. Tptu: Task planning and tool usage of large language model-based ai agents. In NeurIPS 2023 Foundation Models for Decision Making Workshop."},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.399"},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"crossref","unstructured":"Isabella Seeber Eva Bittner Robert\u00a0O Briggs Triparna De\u00a0Vreede Gert-Jan De\u00a0Vreede Aaron Elkins Ronald Maier Alexander\u00a0B Merz Sarah Oeste-Rei\u00df Nils Randrup et\u00a0al. 2020. Machines as teammates: A research agenda on AI in team collaboration. Information & management 57 2 (2020) 103174.","DOI":"10.1016\/j.im.2019.103174"},{"key":"e_1_3_3_2_42_2","doi-asserted-by":"crossref","unstructured":"Dakota Sullivan Nathan\u00a0Thomas White Andrew Schoen and Bilge Mutlu. 2024. Making Informed Decisions: Supporting Cobot Integration Considering Business and Worker Preferences. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2401.05587 (2024).","DOI":"10.1145\/3610977.3634937"},{"key":"e_1_3_3_2_43_2","doi-asserted-by":"publisher","DOI":"10.1109\/CIMCA.2008.87"},{"key":"e_1_3_3_2_44_2","unstructured":"Hugo Touvron Thibaut Lavril Gautier Izacard Xavier Martinet Marie-Anne Lachaux Timoth\u00e9e Lacroix Baptiste Rozi\u00e8re Naman Goyal Eric Hambro Faisal Azhar et\u00a0al. 2023. Llama: Open and efficient foundation language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2302.13971 (2023)."},{"key":"e_1_3_3_2_45_2","unstructured":"Qingyun Wu Gagan Bansal Jieyu Zhang Yiran Wu Shaokun Zhang Erkang Zhu Beibin Li Li Jiang Xiaoyun Zhang and Chi Wang. 2023. Autogen: Enabling next-gen llm applications via multi-agent conversation framework. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2308.08155 (2023)."},{"key":"e_1_3_3_2_46_2","unstructured":"xAI. [n. d.]. grok-1. ([n. d.]). https:\/\/github.com\/xai-org\/grok-1"},{"key":"e_1_3_3_2_47_2","unstructured":"Zhiheng Xi Wenxiang Chen Xin Guo Wei He Yiwen Ding Boyang Hong Ming Zhang Junzhe Wang Senjie Jin Enyu Zhou et\u00a0al. 2023. The rise and potential of large language model based agents: A survey. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2309.07864 (2023)."},{"key":"e_1_3_3_2_48_2","unstructured":"Shitao Xiao Zheng Liu Peitian Zhang and Niklas Muennighoff. 2023. C-Pack: Packaged Resources To Advance General Chinese Embedding. arxiv:https:\/\/arXiv.org\/abs\/2309.07597\u00a0[cs.CL]"},{"key":"e_1_3_3_2_49_2","volume-title":"International Conference on Learning Representations","author":"Xie Sang\u00a0Michael","year":"2021","unstructured":"Sang\u00a0Michael Xie, Aditi Raghunathan, Percy Liang, and Tengyu Ma. 2021. An Explanation of In-context Learning as Implicit Bayesian Inference. In International Conference on Learning Representations."},{"key":"e_1_3_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.131"},{"key":"e_1_3_3_2_51_2","unstructured":"Wenhao Yu Nimrod Gileadi Chuyuan Fu Sean Kirmani Kuang-Huei Lee Montse\u00a0Gonzalez Arenas Hao-Tien\u00a0Lewis Chiang Tom Erez Leonard Hasenclever Jan Humplik et\u00a0al. 2023. Language to rewards for robotic skill synthesis. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2306.08647 (2023)."},{"key":"e_1_3_3_2_52_2","first-page":"119","volume-title":"The 1st Workshop on Personalization of Generative AI Systems","author":"Zamani Abhiman Neelakanteswara Shreyas Chaudhari\u00a0Hamed","year":"2024","unstructured":"Abhiman Neelakanteswara Shreyas Chaudhari\u00a0Hamed Zamani. 2024. RAGs to Style: Personalizing LLMs with Style Embeddings. In The 1st Workshop on Personalization of Generative AI Systems. 119."},{"key":"e_1_3_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-demos.30"},{"key":"e_1_3_3_2_54_2","unstructured":"Zoom. 2023. Video Conferencing Platform. \"Accessed = 09-29-2023\"."}],"event":{"name":"CHI EA '25: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","location":"Yokohama Japan","acronym":"CHI EA '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706599.3719853","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3706599.3719853","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706599.3719853","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706599.3719853","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:35Z","timestamp":1750295915000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706599.3719853"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,25]]},"references-count":53,"alternative-id":["10.1145\/3706599.3719853","10.1145\/3706599"],"URL":"https:\/\/doi.org\/10.1145\/3706599.3719853","relation":{},"subject":[],"published":{"date-parts":[[2025,4,25]]},"assertion":[{"value":"2025-04-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}