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Junyi Ye

3 accepted papers

2025

Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical Problems

AAAI 2025technical

The mathematical capabilities of AI systems are complex and multifaceted. Most existing research has predominantly focused on the correctness of AI-generated solutions to mathematical problems. In this work, we argue that beyond producing correct answers, AI systems should also be capable of, or ass…

2025

Beyond End-to-End VLMs: Leveraging Intermediate Text Representations for Superior Flowchart Understanding

NAACL 2025long

Flowcharts are typically presented as images, driving the trend of using vision-language models (VLMs) for end-to-end flowchart understanding. However, two key challenges arise: (i) Limited controllability—users have minimal influence over the downstream task, as they can only modify input images, w…

2023

SafeLight: A Reinforcement Learning Method toward Collision-Free Traffic Signal Control

AAAI 2023technical

Traffic signal control is safety-critical for our daily life. Roughly one-quarter of road accidents in the U.S. happen at intersections due to problematic signal timing, urging the development of safety-oriented intersection control. However, existing studies on adaptive traffic signal control using…