activity
20232026
most citedOpen-TI: Open Traffic Intelligence with Augmented Language Model

33 citations · 42 across the 26 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.AI2024

CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic

Huaiyuan Yao, Longchao Da, Vishnu Nandam +4

The integration of autonomous vehicles into urban traffic has great potential to improve efficiency by reducing congestion and optimizing traffic flow systematically. In this paper…

eess.IV2024

Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images

Longchao Da, Rui Wang, Xiaojian Xu +4

Medical imaging is crucial for diagnosing a patient's health condition, and accurate segmentation of these images is essential for isolating regions of interest to ensure precise d…

cs.CY2024

Shaded Route Planning Using Active Segmentation and Identification of Satellite Images

Longchao Da, Rohan Chhibba, Rushabh Jaiswal +2

Heatwaves pose significant health risks, particularly due to prolonged exposure to high summer temperatures. Vulnerable groups, especially pedestrians and cyclists on sun-exposed s…

cs.CL2024

LLM Uncertainty Quantification through Directional Entailment Graph and Claim Level Response Augmentation

Longchao Da, Tiejin Chen, Lu Cheng +1

The Large language models (LLMs) have showcased superior capabilities in sophisticated tasks across various domains, stemming from basic question-answer (QA), they are nowadays use…

cs.AI2024

Privacy-preserving Fine-tuning of Large Language Models through Flatness

Tiejin Chen, Longchao Da, Huixue Zhou +4

The privacy concerns associated with the use of Large Language Models (LLMs) have grown recently with the development of LLMs such as ChatGPT. Differential Privacy (DP) techniques…

cs.MA2024★ 1 cited

CityFlowER: An Efficient and Realistic Traffic Simulator with Embedded Machine Learning Models

Longchao Da, Chen Chu, Weinan Zhang +1

Traffic simulation is an essential tool for transportation infrastructure planning, intelligent traffic control policy learning, and traffic flow analysis. Its effectiveness relies…

cs.AI2024★ 33 cited

Open-TI: Open Traffic Intelligence with Augmented Language Model

Longchao Da, Kuanru Liou, Tiejin Chen +4

Transportation has greatly benefited the cities' development in the modern civilization process. Intelligent transportation, leveraging advanced computer algorithms, could further…