Pubs

PEARLS Lab Publications.

2023

  1. Behavior Cloned Transformers are Neurosymbolic Reasoners
    Ruoyao Wang*, Peter Jansen*, Marc-Alexandre Côté, and Prithviraj Ammanabrolu
    In European Chapter of the Association for Computational Linguistics (EACL), 2023
  2. Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
    Rajkumar Ramamurthy*, Prithviraj Ammanabrolu*, Kianté Brantley, Jack Hessel, Rafet Sifa, Christian Bauckhage, Hannaneh Hajishirzi, and Yejin Choi
    In International Conference on Learning Representations (ICLR), 2023
  3. Multimodal Knowledge Alignment with Reinforcement Learning
    Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, JaeSung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, and Yejin Choi
    In Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  4. I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons
    Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, and Prithviraj Ammanabrolu
    In Association for Computational Linguistics (ACL), 2023
  5. Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling
    Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, and Roy Fox
    In International Conference on Machine Learning (ICML), 2023
  6. Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
    Ximing Lu, Faeze Brahman, Peter West, Jaehun Jang, Khyathi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, and Yejin Choi
    arXiv preprint arXiv:2305.15065, 2023
  7. SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks
    Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, and Xiang Ren
    In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023
  8. Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
    Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, and Hannaneh Hajishirzi
    In Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023

2022

  1. Situated Dialogue Learning through Procedural Environment Generation
    Prithviraj Ammanabrolu, Renee Jia, and Mark O Riedl
    In Association for Computational Linguistics (ACL), 2022
  2. ScienceWorld: Is your Agent Smarter than a 5th Grader?
    Ruoyao Wang*, Peter Jansen*, Marc-Alexandre Côté, and Prithviraj Ammanabrolu
    In Empirical Methods in Natural Language Processing (EMNLP), 2022
  3. Aligning to Social Norms and Values in Interactive Narratives
    Prithviraj Ammanabrolu, Liwei Jiang, Maarten Sap, Hannaneh Hajizhirzi, and Yejin Choi
    In North American Chapter of the Association for Computational Linguistics (NAACL), 2022
  4. Quark: Controllable Text Generation with Reinforced Unlearning
    Ximing Lu, Sean Welleck, Liwei Jiang, Jack Hessel, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, and Yejin Choi
    In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022
  5. Inherently Explainable Reinforcement Learning in Natural Language
    Xiangyu Peng, Mark O Riedl, and Prithviraj Ammanabrolu
    In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), 2022
  6. INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions
    Zeqiu Wu, Ryu Parish, Hao Cheng, Sewon Min, Prithviraj Ammanabrolu, Mari Ostendorf, and Hannaneh Hajishirzi
    Transactions of the Association for Computational Linguistics (TACL), 2022

2021

  1. How to Motivate Your Dragon: Teaching Goal-Driven Agents to Speak and Act in Fantasy Worlds
    Prithviraj Ammanabrolu, Jack Urbanek, Margaret Li, Arthur Szlam, Tim Rocktäschel, and Jason Weston
    In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Jun 2021
  2. Situated Language Learning via Interactive Narratives
    Prithviraj Ammanabrolu, and Mark O Riedl
    Patterns, Cell Press, Jun 2021
  3. Telling Stories through Multi-User Dialogue by Modeling Character Relations
    Wai Man Si, Prithviraj Ammanabrolu, and Mark O Riedl
    In SIGDIAL 2021, Jun 2021
  4. Modeling Worlds in Text
    Prithviraj Ammanabrolu, and Mark Riedl
    In The First Workshop on Commonsense Reasoning and Knowledge Bases (CSKB) at AKBC, Jun 2021
  5. Explainable Reinforcement Learning Agents with Stacked Hierarchical Graph Attention
    Xiangyu Peng, Prithviraj Ammanabrolu, and Mark Riedl
    In Workshop on Explainable Graph-based Machine Learning at AKBC, Jun 2021
  6. Modeling Worlds in Text
    Prithviraj Ammanabrolu, and Mark Riedl
    In Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track (Round 1), Jun 2021
  7. Learning Knowledge Graph-based World Models of Textual Environments
    Prithviraj Ammanabrolu, and Mark Riedl
    In Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), Jun 2021

2020

  1. Story Realization: Expanding Plot Events into Sentences
    Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, and Mark O. Riedl
    In Proceedings of the AAAI Conference on Artificial Intelligence, Apr 2020
  2. Interactive fiction games: A colossal adventure
    Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, and Xingdi Yuan
    In Proceedings of the AAAI Conference on Artificial Intelligence, Apr 2020
  3. Toward Automated Quest Generation in Text-Adventure Games
    Prithviraj Ammanabrolu, William Broniec, Alex Mueller, Jeremy Paul, and Mark O. Riedl
    In International Conference on Computational Creativity (ICCC), Apr 2020
  4. Bringing stories alive: Generating interactive fiction worlds
    Prithviraj Ammanabrolu, Wesley Cheung, Dan Tu, William Broniec, and Mark O Riedl
    In Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-20), Apr 2020
  5. Graph Constrained Reinforcement Learning for Natural Language Action Spaces
    Prithviraj Ammanabrolu, and Matthew Hausknecht
    In International Conference on Learning Representations, Apr 2020
  6. How to avoid being eaten by a grue: Structured exploration strategies for textual worlds
    Prithviraj Ammanabrolu, Ethan Tien, Matthew Hausknecht, and Mark O Riedl
    arXiv preprint arXiv:2006.07409, Apr 2020
  7. Automated storytelling via causal, commonsense plot ordering
    Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, and Mark O Riedl
    In Thirty-Second AAAI Conference on Artificial Intelligence, Apr 2020
  8. Playing text-based games with common sense
    Sahith Dambekodi, Spencer Frazier, Prithviraj Ammanabrolu, and Mark O Riedl
    In The Second WordPlay: When Language Meets Games Workshop, Apr 2020
  9. Techniques for building a knowledge graph in limited knowledge domains
    Gautam Singaraju, and Prithviraj Ammanabrolu
    Apr 2020
    US Patent 11,625,620

2019

  1. Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning
    Prithviraj Ammanabrolu, and Mark Riedl
    In North American Chapter of the Association for Computational Linguistics (NAACL-HLT) 2019, Apr 2019
  2. Transfer in Deep Reinforcement Learning Using Knowledge Graphs
    Prithviraj Ammanabrolu, and Mark Riedl
    In Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13) at EMNLP, Apr 2019
  3. Guided Neural Language Generation for Automated Storytelling
    Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara Martin, and Mark Riedl
    In Proceedings of the Second Workshop on Storytelling, Aug 2019

2018

  1. Event Representations for Automated Story Generation with Deep Neural Nets
    Lara J Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, and Mark O Riedl
    In Thirty-Second AAAI Conference on Artificial Intelligence, Aug 2018

2017

  1. Improvisational storytelling agents
    Lara J Martin, Prithviraj Ammanabrolu, Xinyu Wang, Shruti Singh, Brent Harrison, Murtaza Dhuliawala, Pradyumna Tambwekar, Animesh Mehta, Richa Arora, Nathan Dass, and  others
    In Workshop on Machine Learning for Creativity and Design (NeurIPS 2017), Aug 2017