{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T10:06:02Z","timestamp":1780913162069,"version":"3.54.1"},"reference-count":21,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T00:00:00Z","timestamp":1717286400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,6,2]],"date-time":"2024-06-02T00:00:00Z","timestamp":1717286400000},"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":[[2024,6,2]]},"DOI":"10.1109\/iv55156.2024.10588799","type":"proceedings-article","created":{"date-parts":[[2024,7,15]],"date-time":"2024-07-15T17:19:28Z","timestamp":1721063968000},"page":"1933-1938","source":"Crossref","is-referenced-by-count":8,"title":["Speed Up! Cost-Effective Large Language Model for ADAS Via Knowledge Distillation"],"prefix":"10.1109","author":[{"given":"Pittawat","family":"Taveekitworachai","sequence":"first","affiliation":[{"name":"Ritsumeikan University,Graduate School of Information Science and Engineering,Ibaraki,Osaka,Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pratch","family":"Suntichaikul","sequence":"additional","affiliation":[{"name":"Ritsumeikan University,Graduate School of Information Science and Engineering,Ibaraki,Osaka,Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chakarida","family":"Nukoolkit","sequence":"additional","affiliation":[{"name":"King Mongkut’s University of Technology Thonburi,School of Information Technology,Thrung Kru,Bangkok,Thailand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruck","family":"Thawonmas","sequence":"additional","affiliation":[{"name":"Ritsumeikan University,College of Information Science and Engineering,Ibaraki,Osaka,Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/10749357.2023.2165273"},{"issue":"10","key":"ref2","first-page":"2654","article-title":"Cognitive, On-road, and Simulator-based Driving Assessment after Stroke","volume-title":"Journal of Stroke and Cerebrovascular Diseases","volume":"23","author":"Hird","year":"2014"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3233\/jad-160276"},{"issue":"4","key":"ref4","article-title":"Reliability and validity of on-road driving tests in vulnerable adults: a systematic review","volume-title":"International Journal of Rehabilitation Research","volume":"42","author":"Sawada","year":"2019"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2017.01428"},{"key":"ref6","doi-asserted-by":"crossref","article-title":"Driving Assistant Using ChatGPT Pre-generated Messages in Simulator-Based Driving Assessment: Toward Low-Cost Driving Assessment for Stroke Patients","author":"Chanmas","DOI":"10.2139\/ssrn.4711961"},{"key":"ref7","article-title":"A Survey of Large Language Models","author":"Zhao","year":"2023"},{"key":"ref8","first-page":"13 358","article-title":"LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models","volume-title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing","author":"Jiang"},{"key":"ref9","article-title":"LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression","author":"Jiang","year":"2023"},{"key":"ref10","article-title":"Distilling the Knowledge in a Neural Network","author":"Hinton","year":"2015"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"8003","DOI":"10.18653\/v1\/2023.findings-acl.507","article-title":"Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes","volume-title":"Findings of the Association for Computational Linguistics: ACL 2023","author":"Hsieh","year":"2023"},{"key":"ref12","article-title":"Scaling Instruction-Finetuned Language Models","author":"Chung","year":"2022"},{"key":"ref13","first-page":"1","article-title":"CARLA: An Open Urban Driving Simulator","volume-title":"Proceedings of the 1st Annual Conference on Robot Learning","volume":"78","author":"Dosovitskiy"},{"key":"ref14","first-page":"27 730","article-title":"Training language models to follow instructions with human feedback","volume-title":"Advances in Neural Information Processing Systems","volume":"35","author":"Ouyang","year":"2022"},{"key":"ref15","article-title":"AVOID: Autonomous Vehicle Operation Incident Dataset Across the Globe","author":"Zheng","year":"2023"},{"issue":"12","key":"ref16","first-page":"4706","article-title":"ChatGPT as Your Vehicle Co-Pilot: An Initial Attempt","volume-title":"IEEE Transactions on Intelligent Vehicles","volume":"8","author":"Wang","year":"2023"},{"key":"ref17","article-title":"Chain of Thought Prompting Elicits Reasoning in Large Language Models","volume-title":"Advances in Neural Information Processing Systems","author":"Wei","year":"2022"},{"issue":"140","key":"ref18","first-page":"1","article-title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","volume-title":"Journal of Machine Learning Research","volume":"21","author":"Raffel","year":"2020"},{"key":"ref19","article-title":"To prune, or not to prune: exploring the efficacy of pruning for model compression","author":"Zhu","year":"2017"},{"key":"ref20","first-page":"27 168","article-title":"ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers","volume-title":"Advances in Neural Information Processing Systems","volume":"35","author":"Yao","year":"2022"},{"key":"ref21","first-page":"1","article-title":"Pros and Cons of Weight Pruning for Out-of-Distribution Detection: An Empirical Survey","volume-title":"2023 International Joint Conference on Neural Networks (IJCNN)","author":"Koda"}],"event":{"name":"2024 IEEE Intelligent Vehicle Symposium (IV)","location":"Jeju Island, Korea, Republic of","start":{"date-parts":[[2024,6,2]]},"end":{"date-parts":[[2024,6,5]]}},"container-title":["2024 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10587320\/10588370\/10588799.pdf?arnumber=10588799","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T05:04:01Z","timestamp":1721365441000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10588799\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,2]]},"references-count":21,"URL":"https:\/\/doi.org\/10.1109\/iv55156.2024.10588799","relation":{},"subject":[],"published":{"date-parts":[[2024,6,2]]}}}