Publications

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format

Published in EMNLP, 2023

This paper presents ConvLab-3, a dialogue system toolkit that simplifies the integration of diverse datasets and models, and facilitates the study of generalization and transfer in dialogue systems.

Recommended citation: Qi Zhu, Christian Geishauser, Hsien-chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Shutong Feng, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, and Minlie Huang. (2023). "ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format." In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 106–123, Singapore. Association for Computational Linguistics. https://aclanthology.org/2023.emnlp-demo.9

The Last Word: Speaking with our Sources—The Possibilities and Pitfalls of AI Language Models in Historical Research

Published in SHAFR Passport, 2023

This paper discusses the potential applications and challenges of AI language models in historical research.

Recommended citation: Forward, Jacob, and Zhu, Xiaochen. (2023). "The Last Word: Speaking with our Sources—The Possibilities and Pitfalls of AI Language Models in Historical Research." SHAFR Passport, September 2023 issue. https://www.shafr.org/assets/docs/Passport/2023/passport-09-2023-AI.pdf