We are pleased to announce that the following paper, co-authored by Associate Professor Teeradaj Racharak, has been accepted for presentation at the 39th Pacific Asia Conference on Language, Information and Computation (PACLIC 2025), to be held December 5–7, 2025. PACLIC is a leading international conference focusing on computational linguistics, natural language processing, and language information sciences in the Asia-Pacific region.

Accepted Paper

• Feifei Sun, Ziyi Tong, Teeradaj Racharak, Minh Le Nguyen, Time Tells: Temporal Event Ordering in Frontier LLMs — Performance, Limitations, and Human Comparison, In Proceedings of PACLIC 2025, December 5–7, 2025

This work investigates how frontier large language models (LLMs) handle temporal event ordering, evaluating their strengths and limitations while systematically comparing their performance with human reasoning. The findings provide new insights into the temporal reasoning abilities of LLMs and their implications for real-world applications.

Congratulations to the authors on this achievement!