Publications
2024
PRobELM: Plausibility Ranking Evaluation for Language Models. Zhangdie Yuan, Eric Chamoun∗, Rami Aly∗, Chenxi Whitehouse∗, Andreas Vlachos. Proceedings of the 1st Conference on Language Modeling.
Language Models as Hierarchy Encoders. Yuan He, Zhangdie Yuan, Jiaoyan Chen, Ian Horrocks. Proceedings of the 38th Annual Conference on Neural Information Processing Systems.
DiaLight: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language Models. Songbo Hu, Xiaobin Wang, Zhangdie Yuan, Anna Korhonen, Ivan Vulić. Proceedings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics.
2023
Capturing (Anti-)Symmetry in Language Models with Symmetry-Aware Objectives. Zhangdie Yuan, Andreas Vlachos. Preprint.
Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs. Zhangdie Yuan, Andreas Vlachos. Knowledge Graphs and Large Language Models, the 62nd Annual Meeting of the Association for Computational Linguistics.
A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems. Songbo Hu, Han Zhou, Zhangdie Yuan, Milan Gritta, Guchun Zhang, Ignacio Iacobacci, Anna Korhonen, Ivan Vulić. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.
2022
Can Pretrained Language Models (Yet) Reason Deductively? Zhangdie Yuan∗, Songbo Hu∗, Ivan Vulić, Anna Korhonen and Zaiqiao Meng. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics.
Varifocal Question Generation for Fact-Checking. Nedjma Djouhra Ousidhoum∗, Zhangdie Yuan∗ and Andreas Vlachos. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing.
