[ 1 ] CUI Y D,HUANG S C,ZHONG J M,et al.Drivellm:
Charting the Path toward Full Autonomous Driving
with Large Language Models[J].IEEE Transactions on
Intelligent Vehicles,2024,9(1):1450-1464.
[ 2 ] OpenAI.GPT-4 Technical Report[R].San Francisco:
OpenAI,2023.
[ 3 ] JAEGLE A,GIMENO F,BROCK A,et al.Perceiver:
General Perception with Iterative Attention[C]//International Corference on Machine Learning.Piscataway:
IEEE,2022:4641-4654.
[ 4 ] XU Z H,ZHANG Y J,XIE E Z,et al.DriveGPT4:Interpretable End-to-End Autonomous Driving via Large
Language Model[J].IEEE Robotics and Automation
Letters,2024,9(10):8186-8193.
[ 5 ] CHEN L,WU P H,CHITTA K,et al.End-to-End Autonomous Driving:Challenges and Frontiers[J].IEEE
Transactions on Pattern Analysis and Machine Intelligence,2024,46(12):10164-10183.
[ 6 ] HU Y H,YANG J Z,CHEN L,et al.Planning-oriented
Autonomous Driving[C]//Proceedings of the IEEE/
CVF Conference on Computer Vision and Pattern
Recognition.Piscataway:IEEE,2023:17853-17862.
[ 7 ] GAO F,GE X J,LI J Y,et al.Intelligent Cockpits for
Connected Vehicles:Taxonomy,Architecture,Interaction
Technologies,and Future Directions[J].Sensors,2024,
24(18):5328-5348.
[ 8 ] 付志远,陈思宇,陈骏帆,等.大语言模型安全的挑战
与机遇[J].信息安全学报,2024,9(5):26-55.
[ 9 ] 刘樟伟.车路协同环境下高快速路主动交通管控研究综述[J].汽车知识,2024,24(11):241-244.
[10] FRANTAR E,ALISTARH D.SparseGPT:Massive Language Models Can be Accurately Pruned in One-shot
[C]//Proceedings of the 40th International Conference
on Machine Learning.New York:PMLR,2023:10323-
10337.
[11] ZHANG M Y,CHEN H,SHEN C H,et al.LoRAPrune:
Structured Pruning Meets Low-rank Parameter-efficient Fine-tuning[C]//Proceedings of the Findings of the
Association for Computational Linguistics:ACL 2024.
Bangkok:Association for Computational Linguistics,
2024:3013-3026.
[12] YAO Z W,AMINABADI R Y,ZHANG M J,et al.Zero
Quant:Efficient and Affordable Post-training Quantization for Large-scale Transformers[J].arXiv,2022,abs/
2206.01861.
[13] CHITTA K,PRAKASH A,GEIGER A.Neat:Neural
attention Fields for End-to-End Autonomous Driving
[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision.Piscataway:IEEE,2021:
15793-15803.
[14] SAMSAMI M R,BAHARI M H,SALEHKALEYBAR
S.Causal Imitative Model for Autonomous Driving[J].
arXiv,Preprint arXiv:2112:03908.
[15] JIANG Z F,WANG W,CHEN R C.Dordis:Efficient
Federated Learning with Dropout-resilient Differential Privacy[C]//Proceedings of the Nineteenth European
Conference on Computer Systems.New York:ACM,
2024:472-488.
[16] SUNG Y L,LI L J,LIN K,et al.An Empirical Study of
Multimodal Model merging[J].arXiv,Preprint arXiv:
2304:14933.
[17] SALAZAR-GOMEZ G,LIU W,DIAZ-ZAPATA M,et al.
TLCFuse:Temporal Multi-modality Fusion towards
Occlusion-aware Semantic Segmentation[C]//2024 IEEE
Intelligent Vehicles Symposium (IV).Piscataway:IEEE,
2024:10588460.
[18] ZHANG R Y,LI Y Z,MA Y L,et al.LLMAAA:Making
Large Language Models as Active Annotators[J].arXiv,
Preprint arXiv:2310:19596.
[19] XIAO R X,DONG Y W,WU R Z,et al.FreeAL:towards
Human-Free Active Learning in the Era of Large Language Models[J].arXiv,Preprint arXiv:2311:15614.
[20] ZHANG R,SU Y X,TRISEDYA B D,et al.AutoAlign:
Fully Automatic and Effective Knowledge Graph Alignment Enabled by Large Language Models[J].IEEE
Transactions on Knowledge and Data Engineering,
2024,36(6):2357-2371. |