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cs.RO2024
LASER: Script Execution by Autonomous Agents for On-demand Traffic Simulation
Hao Gao, Jingyue Wang, Wenyang Fang +4
Autonomous Driving Systems (ADS) require diverse and safety-critical traffic scenarios for effective training and testing, but the existing data generation methods struggle to prov…
cs.AI2024
Executing Arithmetic: Fine-Tuning Large Language Models as Turing Machines
Junyu Lai, Jiahe Xu, Yao Yang +3
Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing and reasoning tasks. However, their performance in the fou…
cs.CL2024
MeteoRA: Multiple-tasks Embedded LoRA for Large Language Models
Jingwei Xu, Junyu Lai, Yunpeng Huang
The pretrain+fine-tune paradigm is foundational for deploying large language models (LLMs) across various downstream applications. Within this framework, Low-Rank Adaptation (LoRA)…