{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T03:46:56Z","timestamp":1730260016734,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T00:00:00Z","timestamp":1696982400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T00:00:00Z","timestamp":1696982400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,11]]},"DOI":"10.1109\/ictc58733.2023.10392629","type":"proceedings-article","created":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T20:43:20Z","timestamp":1706042600000},"page":"961-966","source":"Crossref","is-referenced-by-count":0,"title":["AuPPLE: Augmented Physical Priors through Language Enhancement using Self-Supervised Learning"],"prefix":"10.1109","author":[{"given":"Annie","family":"Dong","sequence":"first","affiliation":[{"name":"Watchung Hills Reg. HS,Warren,United States"}]},{"given":"Anirudh","family":"Mazumder","sequence":"additional","affiliation":[{"name":"Texas Academy of Math &amp; Science,Denton,United States"}]},{"given":"Mustafa Efe","family":"G\u00fczel","sequence":"additional","affiliation":[{"name":"TED Sakarya High School,Sakarya,Turkey"}]},{"given":"Badis","family":"Labbedi","sequence":"additional","affiliation":[{"name":"United World College Costa Rica,San Jos&#x00E9;,Costa Rica"}]},{"given":"Zhuo En","family":"Chua","sequence":"additional","affiliation":[{"name":"SJII,Singapore,Singapore"}]},{"given":"Eveer","family":"Soriano","sequence":"additional","affiliation":[{"name":"Ameritec School,San Salvador,El Salvador"}]},{"given":"Priyanshu","family":"Sethi","sequence":"additional","affiliation":[{"name":"The University of Alabama,Tuscaloosa,United States"}]},{"given":"Michael","family":"Lutz","sequence":"additional","affiliation":[{"name":"The University of California, Berkeley,Berkeley,United States"}]}],"member":"263","reference":[{"key":"ref1","first-page":"2206","article-title":"Mind\u2019s Eye: Grounded Language Model Reasoning Through Simulation","volume-title":"Proceedings of the 39th International Conference on Machine Learning","volume":"162","author":"Huang"},{"key":"ref2","article-title":"Grounded Physical Language Understanding with Probabilistic Programs and Simulated Worlds"},{"key":"ref3","article-title":"Idea: train an LLM on output of physical simulation"},{"key":"ref4","article-title":"An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP)"},{"key":"ref5","article-title":"How well do Large Language Models perform in Arithmetic tasks?"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-industry.4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.00280"},{"key":"ref8","article-title":"Do as I Can, not as I Say"},{"key":"ref9","article-title":"LoRA"},{"key":"ref10","article-title":"Parameter Efficient Fine-Tuning libraries"},{"key":"ref12","article-title":"GPT-3 Grounding LLMs"},{"key":"ref13","first-page":"3929","article-title":"Retrieval augmented language model pre-training","volume-title":"Proceedings of the 37th International Conference on Machine Learning, ICML 2020, Virtual Event","volume":"119","author":"Guu"},{"article-title":"Retrieval-augmented generation for knowledge-intensive NLP tasks","volume-title":"Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, virtual","author":"Lewis","key":"ref14"},{"key":"ref15","first-page":"2206","article-title":"Improving language models by retrieving from trillions of tokens","volume-title":"Proceedings of the 39th International Conference on Machine Learning","volume":"162","author":"Borgeaud"},{"article-title":"Chatgpt: Optimizing language models for dialog","year":"2021","author":"Cobbe","key":"ref16"},{"article-title":"PEFT: State-of-the-art Parameter-Efficient Fine-Tuning methods","year":"2022","author":"Mangrulkar","key":"ref17"}],"event":{"name":"2023 14th International Conference on Information and Communication Technology Convergence (ICTC)","start":{"date-parts":[[2023,10,11]]},"location":"Jeju Island, Korea, Republic of","end":{"date-parts":[[2023,10,13]]}},"container-title":["2023 14th International Conference on Information and Communication Technology Convergence (ICTC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10391854\/10391860\/10392629.pdf?arnumber=10392629","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T18:30:51Z","timestamp":1709317851000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10392629\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,11]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/ictc58733.2023.10392629","relation":{},"subject":[],"published":{"date-parts":[[2023,10,11]]}}}