3 papers
cs.CL2025
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies
Terrance Liu, Shuyi Wang, Daniel Preotiuc-Pietro +2
While large language models (LLMs) achieve strong performance on text-to-SQL parsing, they sometimes exhibit unexpected failures in which they are confidently incorrect. Building t…
cs.RO2025
Empirical Performance Evaluation of Lane Keeping Assist on Modern Production Vehicles
Yuhang Wang, Abdulaziz Alhuraish, Shuyi Wang +1
Leveraging a newly released open dataset of Lane Keeping Assist (LKA) systems from production vehicles, this paper presents the first comprehensive empirical analysis of real-world…
cs.RO2025
OpenLKA: an open dataset of lane keeping assist from market autonomous vehicles
Yuhang Wang, Abdulaziz Alhuraish, Shengming Yuan +2
The Lane Keeping Assist (LKA) system has become a standard feature in recent car models. While marketed as providing auto-steering capabilities, the system's operational characteri…