<a style='color: #f76900;'>Xiangyu Peng</a>

Xiangyu Peng

Ph.D. at Georgia Tech, supervised by Prof. Mark Riedl.

Publications

2023

Xiangyu Peng, Christopher Cui, Wei Zhou, Renee Jia, Mark Riedl

[11] Story Shaping: Teaching Agents Human-like Behavior with Stories

Proceedings of the 19th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-23)

arXiv

Jonathan Balloch, Zhiyu Lin, Robert Wright, Xiangyu Peng, Mustafa Hussain, Aarun Srinivas, Julia Kim, Mark O. Riedl

[10] Neuro-Symbolic World Models for Adapting to Open World Novelty

Under Review

arXiv

Xiangyu Peng, Chen Xing, Prafulla Kumar Choubey, Chien-Sheng Wu, Caiming Xiong

[9] Model Ensemble Instead Of Prompt Fusion: A Sample-Specific Knowledge Transfer Method For Few-Shot Prompt Tuning

arXiv

2022

Xiangyu Peng, Michael Sollami

[8] XFBoost: Improving Text Generation with Controllable Decoders

U.S. Patent Application 17/509,024

arXiv

Xiangyu Peng, Mark O Riedl, Prithviraj Ammanabrolu

[7] Inherently Explainable Reinforcement Learning in Natural Language

Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS-22)

arXiv

Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl

[6] Guiding Neural Story Generation with Reader Models

Findings of the Association for Computational Linguistics: EMNLP 2022

arXiv

Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark Riedl

[5] Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning

Findings of the Association for Computational Linguistics: EMNLP 2022

arXiv

Jonathan Balloch, Zhiyu Lin, Mustafa Hussain, Aarun Srinivas, Xiangyu Peng, Julia Kim, Mark Riedl

[4] NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty

__AAAI 2022 Spring Symposium on Designing Artificial Intelligence for Open Worlds

arXiv

2021

Amal Alabdulkarim, Siyan Li, Xiangyu Peng*

[3] Automatic Story Generation: Challenges and Attempts

The 3rd Workshop On Narrative Understanding in NAACL-21

arXiv

Xiangyu Peng, Jonathan C. Balloch, Mark O. Riedl

[2] Detecting and Adapting to Novelty in Games

Reinforcement Learning in Games workshop at AAAI 2021

arXiv

2020

Xiangyu Peng, Siyan Li, Spencer Frazier, Mark Riedl

[1] Reducing Non-Normative Text Generation from Language Models

The 13th International Conference on Natural Language Generation (INLG 2020)

arXiv