Yuan, Xingdi

NewsQA: A Machine Comprehension Dataset

Trischler, A., Wang, T., Yuan, X., Harris, J., Sordoni, A., Bachman, P., & Suleman, K. (2017) · Proceedings of the 2nd Workshop on Representation Learning for NLP

Topic ModelingNatural Language Processing Techniques

Cited by 706

GPT-3-Driven Pedagogical Agents to Train Children’s Curious Question-Asking Skills

Abdelghani, R., Wang, Y.-H., Yuan, X., Wang, T., Lucas, P., Sauzéon, H., & Oudeyer, P.-Y. (2024) · International Journal of Artificial Intelligence in Education

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 129

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Shridhar, M., Yuan, X., Côté, M.-A., Bisk, Y., Trischler, A., & Hausknecht, M. (2020) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 80

Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation

Yuan, X., Wang, T., Wang, Y.-H., Fine, E., Abdelghani, R., Sauzéon, H., & Oudeyer, P.-Y. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingNatural Language Processing Techniques

Cited by 21

GPT-3-driven pedagogical agents for training children's curious question-asking skills

Abdelghani, R., Wang, Y.-H., Yuan, X., Wang, T., Lucas, P., Sauzéon, H., & Oudeyer, P.-Y. (2022) · arXiv

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 19

Can Language Models Serve as Text-Based World Simulators?

Wang, R., Todd, G., Xiao, Z., Yuan, X., Côté, M.-A., Clark, P., & Jansen, P. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 11

V-STaR: Training Verifiers for Self-Taught Reasoners

Hosseini, A., Yuan, X., Malkin, N., Courville, A., Sordoni, A., & Agarwal, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Can Language Models Serve as Text-Based World Simulators?

Wang, R., Todd, G., Xiao, Z., Yuan, X., Côté, M.-A., Clark, P., & Jansen, P. (2024) · arXiv

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 0

Enhancing Agent Learning through World Dynamics Modeling

Sun, Z., Shi, H., Côté, M.-A., Berseth, G., Yuan, X., & Liu, B. (2024) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 0