Ammanabrolu, Prithviraj

17 publications

NeurIPSW 2024 Critique-Out-Loud Reward Models Zachary Ankner, Mansheej Paul, Brandon Cui, Jonathan Daniel Chang, Prithviraj Ammanabrolu

NeurIPSW 2024 Personalized Soups: Personalized Large Language Model Alignment via Post-Hoc Parameter Merging Joel Jang, Seungone Kim, Bill Yuchen Lin, Yizhong Wang, Jack Hessel, Luke Zettlemoyer, Hannaneh Hajishirzi, Yejin Choi, Prithviraj Ammanabrolu

ICML 2023 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, Roy Fox

ICLRW 2023 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, Roy Fox

NeurIPS 2023 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, Hannaneh Hajishirzi

CVPR 2023 Fusing Pre-Trained Language Models with Multimodal Prompts Through Reinforcement Learning Youngjae Yu, Jiwan Chung, Heeseung Yun, Jack Hessel, Jae Sung Park, Ximing Lu, Rowan Zellers, Prithviraj Ammanabrolu, Ronan Le Bras, Gunhee Kim, Yejin Choi

ICLR 2023 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, Yejin Choi

NeurIPS 2023 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, Xiang Ren

ICMLW 2023 SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren

NeurIPS 2022 Inherently Explainable Reinforcement Learning in Natural Language Xiangyu Peng, Mark Riedl, Prithviraj Ammanabrolu

NeurIPS 2022 QUARK: Controllable Text Generation with Reinforced Unlearning Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi

AAAI 2021 Automated Storytelling via Causal, Commonsense Plot Ordering Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl

NeurIPS 2021 Learning Knowledge Graph-Based World Models of Textual Environments Prithviraj Ammanabrolu, Mark Riedl

ICLR 2020 Graph Constrained Reinforcement Learning for Natural Language Action Spaces Prithviraj Ammanabrolu, Matthew Hausknecht

AAAI 2020 Interactive Fiction Games: A Colossal Adventure Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan

AAAI 2020 Story Realization: Expanding Plot Events into Sentences Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung, Zhaochen Luo, William Ma, Lara J. Martin, Mark O. Riedl

AAAI 2018 Event Representations for Automated Story Generation with Deep Neural Nets Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl