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Yanchuan Chang

2 accepted papers

2025

DualCast: A Model to Disentangle Aperiodic Events from Traffic Series

IJCAI 2025

Traffic forecasting is crucial for transportation systems optimisation. Current models minimise the mean forecasting errors, often favouring periodic events prevalent in the training data, while overlooking critical aperiodic ones like traffic incidents. To address this, we propose DualCast, a dual-

2025

Planning-Driven Programming: A Large Language Model Programming Workflow

ACL 2025long

The strong performance of large language models (LLMs) raises extensive discussion on their application to code generation. Recent research suggests continuous program refinements through visible tests to improve code generation accuracy in LLMs. However, these methods suffer from LLMs’ inefficiency…