{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T09:30:40Z","timestamp":1775899840298,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":69,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,11,15]],"date-time":"2023-11-15T00:00:00Z","timestamp":1700006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NSERC","award":["RGPIN-2022-04492"],"award-info":[{"award-number":["RGPIN-2022-04492"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,11,15]]},"DOI":"10.1145\/3600100.3623739","type":"proceedings-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T12:17:16Z","timestamp":1699013836000},"page":"130-139","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["RoboAuditor: Goal-Oriented Robotic System for Assessing Energy-intensive Indoor Appliance via Visual Language Models"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4758-2442","authenticated-orcid":false,"given":"Weijia","family":"Cai","sequence":"first","affiliation":[{"name":"The University of British Columbia, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4760-7064","authenticated-orcid":false,"given":"Lei","family":"Huang","sequence":"additional","affiliation":[{"name":"The University of British Columbia, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7789-655X","authenticated-orcid":false,"given":"Zhengbo","family":"Zou","sequence":"additional","affiliation":[{"name":"The University of British Columbia, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,11,15]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.113693"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/RO-MAN57019.2023.10309325"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","unstructured":"Pandarasamy Arjunan Kameshwar Poolla and Clayton Miller. [n. d.]. EnergyStar++: Towards more accurate and explanatory building energy benchmarking. Applied Energy 276 ([n. d.]) 115413. https:\/\/doi.org\/10.1016\/j.apenergy.2020.115413","DOI":"10.1016\/j.apenergy.2020.115413"},{"key":"e_1_3_2_1_4_1","unstructured":"Michael\u00a0C Baechler. 2011. A guide to energy audits. Technical Report. Pacific Northwest National Lab.(PNNL) Richland WA (United States). Retrieved 2023-06-20 from https:\/\/www.pnnl.gov\/main\/publications\/external\/technical_reports\/PNNL-20956.pdf"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","unstructured":"R. Brown C. Webber and J.G. Koomey. [n. d.]. Status and future directions of the Energy Star program. Energy 27 5 ([n. d.]) 505\u2013520. https:\/\/doi.org\/10.1016\/S0360-5442(02)00004-X","DOI":"10.1016\/S0360-5442(02)00004-X"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561916"},{"key":"e_1_3_2_1_7_1","volume-title":"Advances in Neural Information Processing Systems, H.\u00a0Larochelle, M.\u00a0Ranzato, R.\u00a0Hadsell, M.F. Balcan, and H.\u00a0Lin (Eds.). Vol.\u00a033. Curran Associates","author":"Chaplot Devendra\u00a0Singh","year":"2020","unstructured":"Devendra\u00a0Singh Chaplot, Dhiraj\u00a0Prakashchand Gandhi, Abhinav Gupta, and Russ\u00a0R Salakhutdinov. 2020. Object Goal Navigation using Goal-Oriented Semantic Exploration. In Advances in Neural Information Processing Systems, H.\u00a0Larochelle, M.\u00a0Ranzato, R.\u00a0Hadsell, M.F. Balcan, and H.\u00a0Lin (Eds.). Vol.\u00a033. Curran Associates, Inc., 4247\u20134258. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2020\/file\/2c75cf2681788adaca63aa95ae028b22-Paper.pdf"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CRV55824.2022.00012"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","unstructured":"Yongbao Chen Peng Xu Jiefan Gu Ferdinand Schmidt and Weilin Li. [n. d.]. Measures to improve energy demand flexibility in buildings for demand response (DR): A review. Energy and Buildings 177 ([n. d.]) 125\u2013139. https:\/\/doi.org\/10.1016\/j.enbuild.2018.08.003","DOI":"10.1016\/j.enbuild.2018.08.003"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01434"},{"key":"e_1_3_2_1_11_1","volume-title":"Advances in Neural Information Processing Systems, C.\u00a0Cortes, N.\u00a0Lawrence, D.\u00a0Lee, M.\u00a0Sugiyama, and R.\u00a0Garnett (Eds.). Vol.\u00a028. Curran Associates","author":"Dai M","year":"2015","unstructured":"Andrew\u00a0M Dai and Quoc\u00a0V Le. 2015. Semi-supervised Sequence Learning. In Advances in Neural Information Processing Systems, C.\u00a0Cortes, N.\u00a0Lawrence, D.\u00a0Lee, M.\u00a0Sugiyama, and R.\u00a0Garnett (Eds.). Vol.\u00a028. Curran Associates, Inc.https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2015\/file\/7137debd45ae4d0ab9aa953017286b20-Paper.pdf"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","unstructured":"M Deru K Field D Studer K Benne B Griffith P Torcellini B Liu M Halverson D Winiarski M Rosenberg M Yazdanian J Huang and D Crawley. 2011. U.S. Department of Energy Commercial Reference Building Models of the National Building Stock. https:\/\/doi.org\/10.2172\/1009264","DOI":"10.2172\/1009264"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1423"},{"key":"e_1_3_2_1_14_1","volume-title":"Annual Energy Outlook","author":"U.S. EIA.","year":"2023","unstructured":"U.S. EIA. 2023. Annual Energy Outlook 2023. Retrieved 2023-06-04 from https:\/\/www.eia.gov\/outlooks\/aeo\/pdf\/AEO2023_Narrative.pdf"},{"key":"e_1_3_2_1_15_1","volume-title":"Yanghao Li, and Kaiming He.","author":"Feichtenhofer Christoph","year":"2022","unstructured":"Christoph Feichtenhofer, haoqi fan, Yanghao Li, and Kaiming He. 2022. Masked Autoencoders As Spatiotemporal Learners. In Advances in Neural Information Processing Systems, S.\u00a0Koyejo, S.\u00a0Mohamed, A.\u00a0Agarwal, D.\u00a0Belgrave, K.\u00a0Cho, and A.\u00a0Oh (Eds.). Vol.\u00a035. Curran Associates, Inc., 35946\u201335958. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2022\/file\/e97d1081481a4017df96b51be31001d3-Paper-Conference.pdf"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/100.580977"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9812027"},{"key":"e_1_3_2_1_18_1","unstructured":"Mark Fulton Jake Baker Margot Brandenburg Ron Herbst John Cleveland Joel Rogers and Chinwe Onyeagoro. 2012. United States Building Energy Efficiency Retrofits: Market Sizing and Financing Models. Retrieved 2023-06-20 from https:\/\/www.rockefellerfoundation.org\/wp-content\/uploads\/United-States-Building-Energy-Efficiency-Retrofits.pdf"},{"key":"e_1_3_2_1_19_1","unstructured":"Samir\u00a0Yitzhak Gadre Mitchell Wortsman Gabriel Ilharco Ludwig Schmidt and Shuran Song. 2022. CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation. arxiv:2203.10421\u00a0[cs.CV]"},{"key":"e_1_3_2_1_20_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=swrMQttr6wN","author":"Georgakis Georgios","year":"2022","unstructured":"Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, and Kostas Daniilidis. 2022. Learning to Map for Active Semantic Goal Navigation. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=swrMQttr6wN"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Heather Goetsch and Michael Deru. 2022. Operational Emissions Accounting for Commercial Buildings. Retrieved 2023-06-14 from https:\/\/www.nrel.gov\/docs\/fy22osti\/81670.pdf","DOI":"10.2172\/1876014"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1609\/icaps.v31i1.16011"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"e_1_3_2_1_24_1","volume-title":"Fine-tuned Language Models for Text Classification. CoRR abs\/1801.06146","author":"Howard Jeremy","year":"2018","unstructured":"Jeremy Howard and Sebastian Ruder. 2018. Fine-tuned Language Models for Text Classification. CoRR abs\/1801.06146 (2018). arXiv:1801.06146http:\/\/arxiv.org\/abs\/1801.06146"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","unstructured":"Chenguang Huang Oier Mees Andy Zeng and Wolfram Burgard. 2023. Visual Language Maps for Robot Navigation. arxiv:2210.05714\u00a0[cs.RO]","DOI":"10.1109\/ICRA48891.2023.10160969"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913494911"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27216-5_20"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2022.104247"},{"key":"e_1_3_2_1_29_1","volume-title":"arXiv:2304.02643","author":"Kirillov Alexander","year":"2023","unstructured":"Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander\u00a0C. Berg, Wan-Yen Lo, Piotr Doll\u00e1r, and Ross Girshick. 2023. Segment Anything. arXiv:2304.02643 (2023)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41560-020-0589-6"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5979949"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21831"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3190628"},{"key":"e_1_3_2_1_34_1","unstructured":"Steven\u00a0M LaValle 1998. Rapidly-exploring random trees: A new tool for path planning. (1998)."},{"key":"e_1_3_2_1_35_1","unstructured":"LEED. 2014. Green Building 101: Why is energy efficiency important?Retrieved 2023-06-04 from https:\/\/www.usgbc.org\/articles\/green-building-101-why-energy-efficiency-important"},{"key":"e_1_3_2_1_36_1","volume-title":"Language-driven Semantic Segmentation. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=RriDjddCLN","author":"Li Boyi","year":"2022","unstructured":"Boyi Li, Kilian\u00a0Q Weinberger, Serge Belongie, Vladlen Koltun, and Rene Ranftl. 2022. Language-driven Semantic Segmentation. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=RriDjddCLN"},{"key":"e_1_3_2_1_37_1","volume-title":"Proceedings of the 39th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0162)","author":"Li Junnan","year":"2022","unstructured":"Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi. 2022. BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. In Proceedings of the 39th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0162), Kamalika Chaudhuri, Stefanie Jegelka, Le\u00a0Song, Csaba Szepesvari, Gang Niu, and Sivan Sabato (Eds.). PMLR, 12888\u201312900. https:\/\/proceedings.mlr.press\/v162\/li22n.html"},{"key":"e_1_3_2_1_38_1","unstructured":"Hao Liu Lisa Lee Kimin Lee and Pieter Abbeel. 2023. Instruction-Following Agents with Multimodal Transformer. arxiv:2210.13431\u00a0[cs.CV]"},{"key":"e_1_3_2_1_39_1","unstructured":"Shilong Liu Zhaoyang Zeng Tianhe Ren Feng Li Hao Zhang Jie Yang Chunyuan Li Jianwei Yang Hang Su Jun Zhu and Lei Zhang. 2023. Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection. arxiv:2303.05499\u00a0[cs.CV]"},{"key":"e_1_3_2_1_40_1","volume-title":"Advances in Visual Computing, George Bebis, Bo\u00a0Li, Angela Yao, Yang Liu, Ye\u00a0Duan","author":"Lucas Mirtha","unstructured":"Mirtha Lucas, Miguel Lerma, Jacob Furst, and Daniela Raicu. 2022. RSI-Grad-CAM: Visual Explanations from\u00a0Deep Networks via\u00a0Riemann-Stieltjes Integrated Gradient-Based Localization. In Advances in Visual Computing, George Bebis, Bo\u00a0Li, Angela Yao, Yang Liu, Ye\u00a0Duan, Manfred Lau, Rajiv Khadka, Ana Crisan, and Remco Chang (Eds.). Springer International Publishing, Cham, 262\u2013274."},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2012.08.018"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.3390\/robotics11010024"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2018.03.026"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702528"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8463162"},{"key":"e_1_3_2_1_46_1","unstructured":"Eileen Peppard. 2013. Energy Audit Procedures. Technical Report. University of Hawai\u2018i. Retrieved 2023-06-20 from https:\/\/www.hnei.hawaii.edu\/wp-content\/uploads\/Energy-Audit-Procedures.pdf"},{"key":"e_1_3_2_1_47_1","volume-title":"Proc. of the IEEE Intl. Conf. on Robotics and Automation (ICRA) Workshop on Open Source Robotics, Vol.\u00a03","author":"Quigley Morgan","year":"2009","unstructured":"Morgan Quigley, Brian Gerkey, Ken Conley, Josh Faust, Tully Foote, Jeremy Leibs, Eric Berger, Rob Wheeler, and Andrew Ng. 2009. ROS: an open-source Robot Operating System. In Proc. of the IEEE Intl. Conf. on Robotics and Automation (ICRA) Workshop on Open Source Robotics, Vol.\u00a03. Kobe, Japan, 5. https:\/\/www.ros.org"},{"key":"e_1_3_2_1_48_1","volume-title":"Proceedings of the 38th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0139)","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong\u00a0Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021. Learning Transferable Visual Models From Natural Language Supervision. In Proceedings of the 38th International Conference on Machine Learning(Proceedings of Machine Learning Research, Vol.\u00a0139), Marina Meila and Tong Zhang (Eds.). PMLR, 8748\u20138763. https:\/\/proceedings.mlr.press\/v139\/radford21a.html"},{"key":"e_1_3_2_1_49_1","unstructured":"Alec Radford Karthik Narasimhan Tim Salimans Ilya Sutskever 2018. Improving language understanding by generative pre-training. (2018). http:\/\/openai-assets.s3.amazonaws.com\/research-covers\/language-unsupervised\/language_understanding_paper.pdf"},{"key":"e_1_3_2_1_50_1","volume-title":"100, 000+ Questions for Machine Comprehension of Text. CoRR abs\/1606.05250","author":"Rajpurkar Pranav","year":"2016","unstructured":"Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016. SQuAD: 100, 000+ Questions for Machine Comprehension of Text. CoRR abs\/1606.05250 (2016). arXiv:1606.05250http:\/\/arxiv.org\/abs\/1606.05250"},{"key":"e_1_3_2_1_51_1","volume-title":"Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track. https:\/\/arxiv.org\/abs\/2109","author":"Ramakrishnan Santhosh\u00a0Kumar","year":"2021","unstructured":"Santhosh\u00a0Kumar Ramakrishnan, Aaron Gokaslan, Erik Wijmans, Oleksandr Maksymets, Alexander Clegg, John\u00a0M Turner, Eric Undersander, Wojciech Galuba, Andrew Westbury, Angel\u00a0X Chang, Manolis Savva, Yili Zhao, and Dhruv Batra. 2021. Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track. https:\/\/arxiv.org\/abs\/2109.08238"},{"key":"e_1_3_2_1_52_1","volume-title":"Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2). https:\/\/openreview.net\/forum?id=-v4OuqNs5P","author":"Ramakrishnan Santhosh\u00a0Kumar","year":"2021","unstructured":"Santhosh\u00a0Kumar Ramakrishnan, Aaron Gokaslan, Erik Wijmans, Oleksandr Maksymets, Alexander Clegg, John\u00a0M Turner, Eric Undersander, Wojciech Galuba, Andrew Westbury, Angel\u00a0X Chang, Manolis Savva, Yili Zhao, and Dhruv Batra. 2021. Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2). https:\/\/openreview.net\/forum?id=-v4OuqNs5P"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00591"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00943"},{"key":"e_1_3_2_1_55_1","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2011.943233"},{"key":"e_1_3_2_1_56_1","volume-title":"Proceedings of The 6th Conference on Robot Learning(Proceedings of Machine Learning Research, Vol.\u00a0205)","author":"Shah Dhruv","year":"2023","unstructured":"Dhruv Shah, B\u0142a\u017cej Osi\u0144ski, brian ichter, and Sergey Levine. 2023. LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action. In Proceedings of The 6th Conference on Robot Learning(Proceedings of Machine Learning Research, Vol.\u00a0205), Karen Liu, Dana Kulic, and Jeff Ichnowski (Eds.). PMLR, 492\u2013504. https:\/\/proceedings.mlr.press\/v205\/shah23b.html"},{"key":"e_1_3_2_1_57_1","unstructured":"Andrew Szot Alex Clegg Eric Undersander Erik Wijmans Yili Zhao John Turner Noah Maestre Mustafa Mukadam Devendra Chaplot Oleksandr Maksymets Aaron Gokaslan Vladimir Vondrus Sameer Dharur Franziska Meier Wojciech Galuba Angel Chang Zsolt Kira Vladlen Koltun Jitendra Malik Manolis Savva and Dhruv Batra. 2021. Habitat 2.0: Training Home Assistants to Rearrange their Habitat. In Advances in Neural Information Processing Systems (NeurIPS)."},{"key":"e_1_3_2_1_58_1","doi-asserted-by":"publisher","DOI":"10.1201\/9781003151722"},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202319"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"publisher","DOI":"10.1109\/INISTA.2015.7276723"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)CP.1943-5487.0000273"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICAR.2017.8023630"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIT.2019.8754938"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1109\/CIRA.1997.613851"},{"key":"e_1_3_2_1_65_1","volume-title":"Advances in Neural Information Processing Systems, S.\u00a0Koyejo, S.\u00a0Mohamed, A.\u00a0Agarwal, D.\u00a0Belgrave, K.\u00a0Cho, and A.\u00a0Oh (Eds.). Vol.\u00a035. Curran Associates","author":"Yao Lewei","year":"2022","unstructured":"Lewei Yao, Jianhua Han, Youpeng Wen, Xiaodan Liang, Dan Xu, Wei Zhang, Zhenguo Li, Chunjing XU, and Hang Xu. 2022. DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection. In Advances in Neural Information Processing Systems, S.\u00a0Koyejo, S.\u00a0Mohamed, A.\u00a0Agarwal, D.\u00a0Belgrave, K.\u00a0Cho, and A.\u00a0Oh (Eds.). Vol.\u00a035. Curran Associates, Inc., 9125\u20139138. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2022\/file\/3ba960559212691be13fa81d9e5e0047-Paper-Conference.pdf"},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561328"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.683"},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2015.60"},{"key":"e_1_3_2_1_69_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636473"}],"event":{"name":"BuildSys '23: The 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","location":"Istanbul Turkey","acronym":"BuildSys '23"},"container-title":["Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3600100.3623739","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3600100.3623739","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T21:31:17Z","timestamp":1755898277000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3600100.3623739"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,15]]},"references-count":69,"alternative-id":["10.1145\/3600100.3623739","10.1145\/3600100"],"URL":"https:\/\/doi.org\/10.1145\/3600100.3623739","relation":{},"subject":[],"published":{"date-parts":[[2023,11,15]]},"assertion":[{"value":"2023-11-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}