{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T03:52:53Z","timestamp":1793505173899,"version":"4.5.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T00:00:00Z","timestamp":1709078400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Global STEM Professorship Scheme of Hong Kong and HKUST start up grant"},{"name":"Singapore NRF Investigatorship","award":["NRFI08-2022-0010"],"award-info":[{"award-number":["NRFI08-2022-0010"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,2,28]]},"DOI":"10.1145\/3638550.3641130","type":"proceedings-article","created":{"date-parts":[[2024,2,20]],"date-time":"2024-02-20T16:53:43Z","timestamp":1708448023000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":76,"title":["Penetrative AI: Making LLMs Comprehend the Physical World"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8289-0910","authenticated-orcid":false,"given":"Huatao","family":"Xu","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9748-0597","authenticated-orcid":false,"given":"Liying","family":"Han","sequence":"additional","affiliation":[{"name":"University of California, Los Angeles, Los Angeles, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9407-9935","authenticated-orcid":false,"given":"Qirui","family":"Yang","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6047-9709","authenticated-orcid":false,"given":"Mo","family":"Li","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, Hong Kong"},{"name":"Nanyang Technological University, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3782-9192","authenticated-orcid":false,"given":"Mani","family":"Srivastava","sequence":"additional","affiliation":[{"name":"University of California, Los Angeles &amp; Amazon AWS AI Labs, Los Angeles, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,2,28]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Anthony Brohan Noah Brown Justice Carbajal Yevgen Chebotar Xi Chen Krzysztof Choromanski Tianli Ding Danny Driess Avinava Dubey Chelsea Finn et al. 2023. Rt-2: Vision-language-action models transfer web knowledge to robotic control. arXiv preprint arXiv:2307.15818 (2023)."},{"key":"e_1_3_2_1_2_1","unstructured":"Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020)."},{"key":"e_1_3_2_1_3_1","unstructured":"Minwoo Byeon Beomhee Park Haecheon Kim Sungjun Lee Woonhyuk Baek and Saehoon Kim. 2022. COYO-700M: Image-Text Pair Dataset. https:\/\/github.com\/kakaobrain\/coyo-dataset."},{"key":"e_1_3_2_1_4_1","volume-title":"Livio Pompianu, and Sandro Gabriele Tiddia.","author":"Carta Salvatore","year":"2023","unstructured":"Salvatore Carta, Alessandro Giuliani, Leonardo Piano, Alessandro Sebastian Podda, Livio Pompianu, and Sandro Gabriele Tiddia. 2023. Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction. arXiv preprint arXiv:2307.01128 (2023)."},{"key":"e_1_3_2_1_5_1","volume-title":"Selection-inference: Exploiting large language models for interpretable logical reasoning. arXiv preprint arXiv:2205.09712","author":"Creswell Antonia","year":"2022","unstructured":"Antonia Creswell, Murray Shanahan, and Irina Higgins. 2022. Selection-inference: Exploiting large language models for interpretable logical reasoning. arXiv preprint arXiv:2205.09712 (2022)."},{"key":"e_1_3_2_1_6_1","unstructured":"Android Developers. 2023. GnssStatus. https:\/\/developer.android.com\/reference\/android\/location\/GnssStatus"},{"key":"e_1_3_2_1_7_1","unstructured":"Android Developers. 2023. Motion Sensors. https:\/\/developer.android.com\/develop\/sensors-and-location\/sensors\/sensors_motion?hl=en#sensors-motion-stepcounter"},{"key":"e_1_3_2_1_8_1","unstructured":"Android Developers. 2023. ScanResult. https:\/\/developer.android.com\/reference\/android\/net\/wifi\/ScanResult"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2022.3141105"},{"key":"e_1_3_2_1_10_1","volume-title":"Chat-rec: Towards interactive and explainable llms-augmented recommender system. arXiv preprint arXiv:2303.14524","author":"Gao Yunfan","year":"2023","unstructured":"Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, and Jiawei Zhang. 2023. Chat-rec: Towards interactive and explainable llms-augmented recommender system. arXiv preprint arXiv:2303.14524 (2023)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01457"},{"key":"e_1_3_2_1_12_1","volume-title":"Leon Glass, Jeffrey M Hausdorff, Plamen Ch Ivanov, Roger G Mark, Joseph E Mietus, George B Moody, Chung-Kang Peng, and H Eugene Stanley.","author":"Goldberger Ary L","year":"2000","unstructured":"Ary L Goldberger, Luis AN Amaral, Leon Glass, Jeffrey M Hausdorff, Plamen Ch Ivanov, Roger G Mark, Joseph E Mietus, George B Moody, Chung-Kang Peng, and H Eugene Stanley. 2000. PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. circulation 101, 23 (2000), e215--e220."},{"key":"e_1_3_2_1_13_1","volume-title":"Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity. arXiv preprint arXiv:2312.16044","author":"Lai Siqi","year":"2023","unstructured":"Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, and Hui Xiong. 2023. Large Language Models as Traffic Signal Control Agents: Capacity and Opportunity. arXiv preprint arXiv:2312.16044 (2023)."},{"key":"e_1_3_2_1_14_1","volume-title":"A path towards autonomous machine intelligence version 0.9. 2","author":"LeCun Yann","year":"2022","unstructured":"Yann LeCun. 2022. A path towards autonomous machine intelligence version 0.9. 2, 2022-06-27. Open Review 62 (2022)."},{"key":"e_1_3_2_1_15_1","volume-title":"Videochat: Chat-centric video understanding. arXiv preprint arXiv:2305.06355","author":"Li KunChang","year":"2023","unstructured":"KunChang Li, Yinan He, Yi Wang, Yizhuo Li, Wenhai Wang, Ping Luo, Yali Wang, Limin Wang, and Yu Qiao. 2023. Videochat: Chat-centric video understanding. arXiv preprint arXiv:2305.06355 (2023)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160591"},{"key":"e_1_3_2_1_17_1","volume-title":"Is chatgpt a good recommender? a preliminary study. arXiv preprint arXiv:2304.10149","author":"Liu Junling","year":"2023","unstructured":"Junling Liu, Chao Liu, Renjie Lv, Kang Zhou, and Yan Zhang. 2023. Is chatgpt a good recommender? a preliminary study. arXiv preprint arXiv:2304.10149 (2023)."},{"key":"e_1_3_2_1_18_1","volume-title":"Paolo Di Achille, and Shwetak Patel","author":"Liu Xin","year":"2023","unstructured":"Xin Liu, Daniel McDuff, Geza Kovacs, Isaac Galatzer-Levy, Jacob Sunshine, Jiening Zhan, Ming-Zher Poh, Shun Liao, Paolo Di Achille, and Shwetak Patel. 2023. Large Language Models are Few-Shot Health Learners. arXiv preprint arXiv:2305.15525 (2023)."},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of the 7th Conference on Robot Learning (CoRL).","author":"Mirchandani Suvir","year":"2023","unstructured":"Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montser-rat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, and Andy Zeng. 2023. Large Language Models as General Pattern Machines. In Proceedings of the 7th Conference on Robot Learning (CoRL)."},{"key":"e_1_3_2_1_20_1","unstructured":"OpenAI. 2023. GPT. https:\/\/platform.openai.com\/docs\/guides\/gpt"},{"key":"e_1_3_2_1_21_1","unstructured":"OpenAI. 2023. GPT-4 System Card. https:\/\/openai.com\/research\/gpt-4v-system-card"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.1985.325532"},{"key":"e_1_3_2_1_24_1","volume-title":"Percy Liang, and Michael S Bernstein.","author":"Park Joon Sung","year":"2023","unstructured":"Joon Sung Park, Joseph C O'Brien, Carrie J Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023. Generative agents: Interactive simulacra of human behavior. arXiv preprint arXiv:2304.03442 (2023)."},{"key":"e_1_3_2_1_25_1","volume-title":"Toolllm: Facilitating large language models to master 16000+ real-world apis. arXiv preprint arXiv:2307.16789","author":"Qin Yujia","year":"2023","unstructured":"Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, et al. 2023. Toolllm: Facilitating large language models to master 16000+ real-world apis. arXiv preprint arXiv:2307.16789 (2023)."},{"key":"e_1_3_2_1_26_1","volume-title":"Fran\u00e7ois Yvon, Matthias Gall\u00e9, et al.","author":"Scao Teven Le","year":"2022","unstructured":"Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ili\u0107, Daniel Hesslow, Roman Castagn\u00e9, Alexandra Sasha Luccioni, Fran\u00e7ois Yvon, Matthias Gall\u00e9, et al. 2022. Bloom: A 176b-parameter open-access multilingual language model. arXiv preprint arXiv:2211.05100 (2022)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161317"},{"key":"e_1_3_2_1_28_1","volume-title":"Think-on-graph: Deep and responsible reasoning of large language model with knowledge graph. arXiv preprint arXiv:2307.07697","author":"Sun Jiashuo","year":"2023","unstructured":"Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, and Jian Guo. 2023. Think-on-graph: Deep and responsible reasoning of large language model with knowledge graph. arXiv preprint arXiv:2307.07697 (2023)."},{"key":"e_1_3_2_1_29_1","volume-title":"Voyager: An open-ended embodied agent with large language models. arXiv preprint arXiv:2305.16291","author":"Wang Guanzhi","year":"2023","unstructured":"Guanzhi Wang, Yuqi Xie, Yunfan Jiang, Ajay Mandlekar, Chaowei Xiao, Yuke Zhu, Linxi Fan, and Anima Anandkumar. 2023. Voyager: An open-ended embodied agent with large language models. arXiv preprint arXiv:2305.16291 (2023)."},{"key":"e_1_3_2_1_30_1","volume-title":"Visual chatgpt: Talking, drawing and editing with visual foundation models. arXiv preprint arXiv:2303.04671","author":"Wu Chenfei","year":"2023","unstructured":"Chenfei Wu, Shengming Yin, Weizhen Qi, Xiaodong Wang, Zecheng Tang, and Nan Duan. 2023. Visual chatgpt: Talking, drawing and editing with visual foundation models. arXiv preprint arXiv:2303.04671 (2023)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485730.3485937"},{"key":"e_1_3_2_1_32_1","volume-title":"Characteristics of the Normal ECG","author":"Yanowitz Frank G","unstructured":"Frank G Yanowitz. 2010. Lesson III. Characteristics of the Normal ECG. University of Utah School of Medicine (2010)."},{"key":"e_1_3_2_1_33_1","volume-title":"React: Synergizing reasoning and acting in language models. arXiv preprint arXiv:2210.03629","author":"Yao Shunyu","year":"2022","unstructured":"Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2022. React: Synergizing reasoning and acting in language models. arXiv preprint arXiv:2210.03629 (2022)."},{"key":"e_1_3_2_1_34_1","unstructured":"Aohan Zeng Xiao Liu Zhengxiao Du Zihan Wang Hanyu Lai Ming Ding Zhuoyi Yang Yifan Xu Wendi Zheng Xiao Xia et al. 2022. Glm-130b: An open bilingual pre-trained model. arXiv preprint arXiv:2210.02414 (2022)."}],"event":{"name":"HotMobile '24: 25th International Workshop on Mobile Computing Systems and Applications","location":"San Diego CA USA","acronym":"HotMobile '24","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["Proceedings of the 25th International Workshop on Mobile Computing Systems and Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638550.3641130","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3638550.3641130","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T20:06:13Z","timestamp":1750277173000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3638550.3641130"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,28]]},"references-count":33,"alternative-id":["10.1145\/3638550.3641130","10.1145\/3638550"],"URL":"https:\/\/doi.org\/10.1145\/3638550.3641130","relation":{},"subject":[],"published":{"date-parts":[[2024,2,28]]},"assertion":[{"value":"2024-02-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}