| Automatic Story Generation: Challenges and Attempts A Alabdulkarim, S Li, X Peng Narrative Understanding in NAACL-21, 2021 | 67 | 2021 |
| Wave-induced oscillatory response in a randomly heterogeneous porous seabed LL Zhang, Y Cheng, JH Li, XL Zhou, DS Jeng, XY Peng Ocean Engineering 111, 116-127, 2016 | 49 | 2016 |
| Reducing non-normative text generation from language models X Peng, S Li, S Frazier, M Riedl INLG 2020, 2020 | 45* | 2020 |
| Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning X Peng, S Li, S Wiegreffe, M Riedl EMNLP (Findings) 2022, 7008--7029, 2021 | 37 | 2021 |
| Effects of cross-correlated multiple spatially random soil properties on wave-induced oscillatory seabed response XY Peng, LL Zhang, DS Jeng, LH Chen, CC Liao, HQ Yang Applied Ocean Research 62, 57-69, 2017 | 36 | 2017 |
| Novgrid: A flexible grid world for evaluating agent response to novelty J Balloch, Z Lin, M Hussain, A Srinivas, R Wright, X Peng, J Kim, M Riedl AAAI 2022 Spring Symposium, 2022 | 23 | 2022 |
| Inherently Explainable Reinforcement Learning in Natural Language X Peng, MO Riedl, P Ammanabrolu NeurIPS 2022, 2022 | 21 | 2022 |
| Guiding Neural Story Generation with Reader Models X Peng, K Xie, A Alabdulkarim, H Kayam, S Dani, MO Riedl EMNLP (Findings) 2022, 2021 | 20 | 2021 |
| Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning X Peng, C Xing, PK Choubey, CS Wu, C Xiong ICLR 2023, 2023 | 14 | 2023 |
| Neuro-symbolic world models for adapting to open world novelty J Balloch, Z Lin, R Wright, X Peng, M Hussain, A Srinivas, J Kim, MO Riedl AAMAS '23, 2023 | 14 | 2023 |
| Ambient adventures: Teaching chatgpt on developing complex stories Z Chen, E Zhou, K Eaton, X Peng, M Riedl WiML 2023, 2023 | 12 | 2023 |
| Dialogue shaping: Empowering agents through npc interaction W Zhou, X Peng, M Riedl AIIDE 2023 - EXAG, 2023 | 11 | 2023 |
| Detecting and Adapting to Novelty in Games X Peng, JC Balloch, MO Riedl Reinforcement Learning in Games workshop at AAAI 2021, 2021 | 11 | 2021 |
| Player-Driven Emergence in LLM-Driven Game Narrative X Peng, J Quaye, W Xu, C Brockett, B Dolan, N Jojic, G DesGarennes, ... IEEE CoG 2024, 2024 | 9 | 2024 |
| Story Shaping: Teaching Agents Human-like Behavior with Stories X Peng, C Cui, W Zhou, R Jia, M Riedl AIIDE 2023, 2023 | 7 | 2023 |
| An introduction to AI story generation M Riedl, A Alabdulkarim, L Castricato, S Li, X Peng The Gradient, 2021 | 5 | 2021 |
| Thespian: Multi-Character Text Role-Playing Game Agents C Cui, X Peng, M Riedl AIIDE 2023 - EXAG; ACL 2024 - WordPlay, 2023 | 4 | 2023 |
| Automatic Bug Detection in LLM-Powered Text-Based Games Using LLMs C Jin, S Rao, X Peng, P Botchway, J Quaye, C Brockett, B Dolan ACL (Findings) 2024, 2024 | 2 | 2024 |
| XFBoost: Improving Text Generation with Controllable Decoders X Peng, M Sollami U.S. Patent Application 17/509,024., 2022 | 2 | 2022 |
| Systems and methods for ensembling soft prompts in few-shot fine-tuning of language models X Peng, C Xing, PK Choubey, CS Wu US Patent App. 18/160,967, 2024 | 1 | 2024 |
Mark RiedlProfessor of Computing, Georgia Institute of TechnologyEmail verificata su cc.gatech.edu