Eric Yuan

Principal Researcher

出版物

表示方法:

- Evolving Programmatic Skill Networks
  
  Haochen Shi, Xingdi Yuan, Bang Liu
  
  2026 COLM | June 2026
  
  Publication
- Gistify! Codebase-Level Understanding via Runtime Execution
  
  Hyunji Lee, Minseon Kim, Chinmay Singh, Matheus Pereira, Atharv Sonwane, Isadora White, Elias Stengel-Eskin, Mohit Bansal, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan, Lucas Caccia
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Learning to Solve Complex Problems via Dataset Decomposition
  
  Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Xingdi Yuan, Weijia Xu, Marc-Alexandre Côté, Alessandro Sordoni
  
  NeurIPS 2025 | July 2025
  
  Publication
- TALES: Text Adventure Learning Environment Suite
  
  Christopher Zhang Cui, Xingdi Yuan, Zhang Xiao, Prithviraj Ammanabrolu, Marc-Alexandre Côté
  
  April 2025
  
  arXiv | April 2025
  
  DOI Publication Publication Github
- debug-gym: A Text-Based Environment for Interactive Debugging
  
  Xingdi Yuan, Morgane M Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté
  
  March 2025
  
  ArXiv | March 2025
  
  Publication アクセス
- Language-guided Skill Learning with Temporal Variational Inference
  
  Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan
  
  ICML 2024 | July 2024
  
  DOI Publication Publication
- Think Before You Act: Decision Transformers with Internal Working Memory
  
  Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xuefei Liu, Jie Fu
  
  ICML 2024 | May 2024
  
  DOI Publication Publication
- Policy Improvement using Language Feedback Models
  
  Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
  
  NeurIPS 2024 | February 2024
  
  DOI Publication Publication
- Guiding Language Model Reasoning with Planning Tokens
  
  Xinyi Wang, Lucas Caccia, O. Ostapenko, Xingdi Yuan, Alessandro Sordoni
  
  October 2023
  
  arXiv | October 2023
  
  DOI Publication
- Joint Prompt Optimization of Stacked LLMs using Variational Inference
  
  Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
  
  NeurIPS 2023 | October 2023
  
  Publication
- It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance
  
  Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
  
  Findings of ACL 2023 | July 2023
  
  Publication
- Interactive Machine Comprehension with Dynamic Knowledge Graphs
  
  Xingdi Yuan
  
  EMNLP 2021 | November 2021
  
  Publication
- Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
  
  Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He
  
  ACL-IJCNLP 2021 | May 2021
  
  Publication
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
  
  Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
  
  October 2020
  
  arXiv | October 2020
  
  Publication
- Learning Dynamic Belief Graphs to Generalize on Text-Based Games
  
  Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
  
  NeurIPS 2020 | October 2020
  
  PDF
- An Empirical Study on Neural Keyphrase Generation
  
  Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
  
  September 2020
  
  arXiv | September 2020
  
  Publication
- Role-Wise Data Augmentation For Knowledge Distillation
  
  Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
  
  April 2020
  
  ArXiv preprint | April 2020
  
  Publication
- Interactive Language Learning by Question Answering
  
  Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
  
  EMNLP | November 2019
  
  Publication プロジェクト
- Interactive Fiction Games: A Colossal Adventure
  
  Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
  
  AAAI 2020 | October 2019
  
  ArXiv
  
  Publication
- Interactive Machine Comprehension with Information Seeking Agents
  
  Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
  
  August 2019
  
  Publication プロジェクト
- Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
  
  Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
  
  ACL 2019 | May 2019
  
  ArXiv
  
  Publication
- Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
  
  Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
  
  ICLR 2019 | April 2019
  
  Publication プロジェクト
- Towards Solving Text-based Games by Producing Adaptive Action Spaces
  
  Ruo Yu (David) Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri
  
  32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. | December 2018
  
  Publication Publication プロジェクト
- Generating Diverse Numbers of Diverse Keyphrases
  
  Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler
  
  October 2018
  
  October 2018
  
  Publication Publication プロジェクトプロジェクト
- Counting to Explore and Generalize in Text-based Games
  
  Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
  
  European Workshop on Reinforcement Learning (EWRL) | October 2018
  
  Publication プロジェクト
- Counting to Explore and Generalize in Text-based Games
  
  Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
  
  ICML 2018 | June 2018
  
  Preprint プロジェクト
- TextWorld: A Learning Environment for Text-based Games
  
  Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
  
  Computer Games Workshop at ICML/IJCAI 2018 | June 2018
  
  Preprint プロジェクト
- Rapid Adaptation with Conditionally Shifted Neurons
  
  Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
  
  In the proceedings of the Thirty-fifth International Conference on Machine Learning | March 2018
  
  PDF Preprint
- A Joint Model for Question Answering and Question Generation
  
  Tong Wang, Xingdi Yuan, Adam Trischler
  
  Learning to generate natural language workshop, ICML 2017 | August 2017
  
  Preprint プロジェクト
- Machine Comprehension by Text-to-Text Neural Question Generation
  
  Xingdi Yuan, Tong Wang, Caglar Gulcehre, Alessandro Sordoni, Philip Bachman, Sandeep Subramanian, Saizheng Zhang, Adam Trischler
  
  RepL4NLP workshop, ACL 2017 | July 2017
  
  Preprint プロジェクト
- NewsQA: A Machine Comprehension Dataset
  
  Adam Trischler, Tong Wang, Xingdi (Eric) Yuan, Justin D. Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
  
  November 2016
  
  November 2016
  
  Publication アクセスプロジェクトプロジェクト
- Natural Language Comprehension with EpiReader
  
  Adam Trischler, Xingdi Yuan, Zheng Ye, Philip Bachman, Alessandro Sordoni, Kaheer Suleman
  
  Conference on Empirical Methods in Natural Language Processing | November 2016
  
  Preprint プロジェクト
- A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
  
  Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman, Kaheer Suleman
  
  2016 annual meeting of the Association for Computational Linguistics (ACL) | August 2016
  
  Preprint プロジェクト

- Evolving Programmatic Skill Networks
  
  Haochen Shi, Xingdi Yuan, Bang Liu
  
  2026 COLM | June 2026
  
  Publication
- Gistify! Codebase-Level Understanding via Runtime Execution
  
  Hyunji Lee, Minseon Kim, Chinmay Singh, Matheus Pereira, Atharv Sonwane, Isadora White, Elias Stengel-Eskin, Mohit Bansal, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan, Lucas Caccia
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Learning to Solve Complex Problems via Dataset Decomposition
  
  Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Xingdi Yuan, Weijia Xu, Marc-Alexandre Côté, Alessandro Sordoni
  
  NeurIPS 2025 | July 2025
  
  Publication
- TALES: Text Adventure Learning Environment Suite
  
  Christopher Zhang Cui, Xingdi Yuan, Zhang Xiao, Prithviraj Ammanabrolu, Marc-Alexandre Côté
  
  April 2025
  
  arXiv | April 2025
  
  DOI Publication Publication Github
- debug-gym: A Text-Based Environment for Interactive Debugging
  
  Xingdi Yuan, Morgane M Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté
  
  March 2025
  
  ArXiv | March 2025
  
  Publication アクセス
- Language-guided Skill Learning with Temporal Variational Inference
  
  Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan
  
  ICML 2024 | July 2024
  
  DOI Publication Publication
- Think Before You Act: Decision Transformers with Internal Working Memory
  
  Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xuefei Liu, Jie Fu
  
  ICML 2024 | May 2024
  
  DOI Publication Publication
- Policy Improvement using Language Feedback Models
  
  Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
  
  NeurIPS 2024 | February 2024
  
  DOI Publication Publication
- Guiding Language Model Reasoning with Planning Tokens
  
  Xinyi Wang, Lucas Caccia, O. Ostapenko, Xingdi Yuan, Alessandro Sordoni
  
  October 2023
  
  arXiv | October 2023
  
  DOI Publication
- Joint Prompt Optimization of Stacked LLMs using Variational Inference
  
  Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
  
  NeurIPS 2023 | October 2023
  
  Publication
- Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
  
  Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He
  
  ACL-IJCNLP 2021 | May 2021
  
  Publication
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
  
  Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
  
  October 2020
  
  arXiv | October 2020
  
  Publication
- Learning Dynamic Belief Graphs to Generalize on Text-Based Games
  
  Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
  
  NeurIPS 2020 | October 2020
  
  PDF
- An Empirical Study on Neural Keyphrase Generation
  
  Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
  
  September 2020
  
  arXiv | September 2020
  
  Publication
- Role-Wise Data Augmentation For Knowledge Distillation
  
  Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
  
  April 2020
  
  ArXiv preprint | April 2020
  
  Publication
- Interactive Language Learning by Question Answering
  
  Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
  
  EMNLP | November 2019
  
  Publication プロジェクト
- Interactive Fiction Games: A Colossal Adventure
  
  Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
  
  AAAI 2020 | October 2019
  
  ArXiv
  
  Publication
- Interactive Machine Comprehension with Information Seeking Agents
  
  Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
  
  August 2019
  
  Publication プロジェクト
- Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
  
  Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
  
  ACL 2019 | May 2019
  
  ArXiv
  
  Publication
- Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
  
  Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
  
  ICLR 2019 | April 2019
  
  Publication プロジェクト
- Towards Solving Text-based Games by Producing Adaptive Action Spaces
  
  Ruo Yu (David) Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri
  
  32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. | December 2018
  
  Publication Publication プロジェクト
- Generating Diverse Numbers of Diverse Keyphrases
  
  Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler
  
  October 2018
  
  October 2018
  
  Publication Publication プロジェクトプロジェクト
- Counting to Explore and Generalize in Text-based Games
  
  Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
  
  European Workshop on Reinforcement Learning (EWRL) | October 2018
  
  Publication プロジェクト
- Counting to Explore and Generalize in Text-based Games
  
  Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
  
  ICML 2018 | June 2018
  
  Preprint プロジェクト
- TextWorld: A Learning Environment for Text-based Games
  
  Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
  
  Computer Games Workshop at ICML/IJCAI 2018 | June 2018
  
  Preprint プロジェクト
- Rapid Adaptation with Conditionally Shifted Neurons
  
  Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
  
  In the proceedings of the Thirty-fifth International Conference on Machine Learning | March 2018
  
  PDF Preprint
- A Joint Model for Question Answering and Question Generation
  
  Tong Wang, Xingdi Yuan, Adam Trischler
  
  Learning to generate natural language workshop, ICML 2017 | August 2017
  
  Preprint プロジェクト
- Machine Comprehension by Text-to-Text Neural Question Generation
  
  Xingdi Yuan, Tong Wang, Caglar Gulcehre, Alessandro Sordoni, Philip Bachman, Sandeep Subramanian, Saizheng Zhang, Adam Trischler
  
  RepL4NLP workshop, ACL 2017 | July 2017
  
  Preprint プロジェクト
- NewsQA: A Machine Comprehension Dataset
  
  Adam Trischler, Tong Wang, Xingdi (Eric) Yuan, Justin D. Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
  
  November 2016
  
  November 2016
  
  Publication アクセスプロジェクトプロジェクト
- Natural Language Comprehension with EpiReader
  
  Adam Trischler, Xingdi Yuan, Zheng Ye, Philip Bachman, Alessandro Sordoni, Kaheer Suleman
  
  Conference on Empirical Methods in Natural Language Processing | November 2016
  
  Preprint プロジェクト
- A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
  
  Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman, Kaheer Suleman
  
  2016 annual meeting of the Association for Computational Linguistics (ACL) | August 2016
  
  Preprint プロジェクト
- debug-gym: A Text-Based Environment for Interactive Debugging
  
  Xingdi Yuan, Morgane M Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté
  
  March 2025
  
  ArXiv | March 2025
  
  Publication アクセス
- It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance
  
  Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
  
  Findings of ACL 2023 | July 2023
  
  Publication
- Interactive Machine Comprehension with Dynamic Knowledge Graphs
  
  Xingdi Yuan
  
  EMNLP 2021 | November 2021
  
  Publication
- Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
  
  Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He
  
  ACL-IJCNLP 2021 | May 2021
  
  Publication
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
  
  Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
  
  October 2020
  
  arXiv | October 2020
  
  Publication
- Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
  
  Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
  
  ICLR 2019 | April 2019
  
  Publication プロジェクト
- Rapid Adaptation with Conditionally Shifted Neurons
  
  Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
  
  In the proceedings of the Thirty-fifth International Conference on Machine Learning | March 2018
  
  PDF Preprint
- A Joint Model for Question Answering and Question Generation
  
  Tong Wang, Xingdi Yuan, Adam Trischler
  
  Learning to generate natural language workshop, ICML 2017 | August 2017
  
  Preprint プロジェクト
- Machine Comprehension by Text-to-Text Neural Question Generation
  
  Xingdi Yuan, Tong Wang, Caglar Gulcehre, Alessandro Sordoni, Philip Bachman, Sandeep Subramanian, Saizheng Zhang, Adam Trischler
  
  RepL4NLP workshop, ACL 2017 | July 2017
  
  Preprint プロジェクト
- Natural Language Comprehension with EpiReader
  
  Adam Trischler, Xingdi Yuan, Zheng Ye, Philip Bachman, Alessandro Sordoni, Kaheer Suleman
  
  Conference on Empirical Methods in Natural Language Processing | November 2016
  
  Preprint プロジェクト
- A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
  
  Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman, Kaheer Suleman
  
  2016 annual meeting of the Association for Computational Linguistics (ACL) | August 2016
  
  Preprint プロジェクト
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
  
  Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
  
  October 2020
  
  arXiv | October 2020
  
  Publication
- Learning Dynamic Belief Graphs to Generalize on Text-Based Games
  
  Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
  
  NeurIPS 2020 | October 2020
  
  PDF

- Evolving Programmatic Skill Networks
  
  Haochen Shi, Xingdi Yuan, Bang Liu
  
  2026 COLM | June 2026
  
  Publication
- Gistify! Codebase-Level Understanding via Runtime Execution
  
  Hyunji Lee, Minseon Kim, Chinmay Singh, Matheus Pereira, Atharv Sonwane, Isadora White, Elias Stengel-Eskin, Mohit Bansal, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan, Lucas Caccia
  
  ICLR 2026 | October 2025
  
  DOI Publication
- Learning to Solve Complex Problems via Dataset Decomposition
  
  Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Xingdi Yuan, Weijia Xu, Marc-Alexandre Côté, Alessandro Sordoni
  
  NeurIPS 2025 | July 2025
  
  Publication
- Language-guided Skill Learning with Temporal Variational Inference
  
  Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan
  
  ICML 2024 | July 2024
  
  DOI Publication Publication
- Think Before You Act: Decision Transformers with Internal Working Memory
  
  Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xuefei Liu, Jie Fu
  
  ICML 2024 | May 2024
  
  DOI Publication Publication
- Policy Improvement using Language Feedback Models
  
  Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
  
  NeurIPS 2024 | February 2024
  
  DOI Publication Publication
- Joint Prompt Optimization of Stacked LLMs using Variational Inference
  
  Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
  
  NeurIPS 2023 | October 2023
  
  Publication
- It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance
  
  Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
  
  Findings of ACL 2023 | July 2023
  
  Publication
- Interactive Machine Comprehension with Dynamic Knowledge Graphs
  
  Xingdi Yuan
  
  EMNLP 2021 | November 2021
  
  Publication
- Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents
  
  Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He
  
  ACL-IJCNLP 2021 | May 2021
  
  Publication
- Learning Dynamic Belief Graphs to Generalize on Text-Based Games
  
  Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
  
  NeurIPS 2020 | October 2020
  
  PDF
- Interactive Language Learning by Question Answering
  
  Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
  
  EMNLP | November 2019
  
  Publication プロジェクト
- Interactive Fiction Games: A Colossal Adventure
  
  Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
  
  AAAI 2020 | October 2019
  
  ArXiv
  
  Publication
- Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
  
  Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
  
  ACL 2019 | May 2019
  
  ArXiv
  
  Publication
- Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
  
  Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
  
  ICLR 2019 | April 2019
  
  Publication プロジェクト
- Towards Solving Text-based Games by Producing Adaptive Action Spaces
  
  Ruo Yu (David) Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri
  
  32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada. | December 2018
  
  Publication Publication プロジェクト
- Counting to Explore and Generalize in Text-based Games
  
  Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
  
  European Workshop on Reinforcement Learning (EWRL) | October 2018
  
  Publication プロジェクト
- Counting to Explore and Generalize in Text-based Games
  
  Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew Hausknecht, Adam Trischler
  
  ICML 2018 | June 2018
  
  Preprint プロジェクト
- TextWorld: A Learning Environment for Text-based Games
  
  Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
  
  Computer Games Workshop at ICML/IJCAI 2018 | June 2018
  
  Preprint プロジェクト
- Rapid Adaptation with Conditionally Shifted Neurons
  
  Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
  
  In the proceedings of the Thirty-fifth International Conference on Machine Learning | March 2018
  
  PDF Preprint
- A Joint Model for Question Answering and Question Generation
  
  Tong Wang, Xingdi Yuan, Adam Trischler
  
  Learning to generate natural language workshop, ICML 2017 | August 2017
  
  Preprint プロジェクト
- Machine Comprehension by Text-to-Text Neural Question Generation
  
  Xingdi Yuan, Tong Wang, Caglar Gulcehre, Alessandro Sordoni, Philip Bachman, Sandeep Subramanian, Saizheng Zhang, Adam Trischler
  
  RepL4NLP workshop, ACL 2017 | July 2017
  
  Preprint プロジェクト
- Natural Language Comprehension with EpiReader
  
  Adam Trischler, Xingdi Yuan, Zheng Ye, Philip Bachman, Alessandro Sordoni, Kaheer Suleman
  
  Conference on Empirical Methods in Natural Language Processing | November 2016
  
  Preprint プロジェクト
- A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data
  
  Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman, Kaheer Suleman
  
  2016 annual meeting of the Association for Computational Linguistics (ACL) | August 2016
  
  Preprint プロジェクト
- TALES: Text Adventure Learning Environment Suite
  
  Christopher Zhang Cui, Xingdi Yuan, Zhang Xiao, Prithviraj Ammanabrolu, Marc-Alexandre Côté
  
  April 2025
  
  arXiv | April 2025
  
  DOI Publication Publication Github
- debug-gym: A Text-Based Environment for Interactive Debugging
  
  Xingdi Yuan, Morgane M Moss, Charbel Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté
  
  March 2025
  
  ArXiv | March 2025
  
  Publication アクセス
- Guiding Language Model Reasoning with Planning Tokens
  
  Xinyi Wang, Lucas Caccia, O. Ostapenko, Xingdi Yuan, Alessandro Sordoni
  
  October 2023
  
  arXiv | October 2023
  
  DOI Publication
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
  
  Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
  
  October 2020
  
  arXiv | October 2020
  
  Publication
- An Empirical Study on Neural Keyphrase Generation
  
  Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
  
  September 2020
  
  arXiv | September 2020
  
  Publication
- Role-Wise Data Augmentation For Knowledge Distillation
  
  Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
  
  April 2020
  
  ArXiv preprint | April 2020
  
  Publication
- Generating Diverse Numbers of Diverse Keyphrases
  
  Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler
  
  October 2018
  
  October 2018
  
  Publication Publication プロジェクトプロジェクト
- NewsQA: A Machine Comprehension Dataset
  
  Adam Trischler, Tong Wang, Xingdi (Eric) Yuan, Justin D. Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
  
  November 2016
  
  November 2016
  
  Publication アクセスプロジェクトプロジェクト
- Interactive Machine Comprehension with Information Seeking Agents
  
  Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
  
  August 2019
  
  Publication プロジェクト

Eric Yuan

出版物

Evolving Programmatic Skill Networks

Gistify! Codebase-Level Understanding via Runtime Execution

Learning to Solve Complex Problems via Dataset Decomposition

TALES: Text Adventure Learning Environment Suite

debug-gym: A Text-Based Environment for Interactive Debugging

Language-guided Skill Learning with Temporal Variational Inference

Think Before You Act: Decision Transformers with Internal Working Memory

Policy Improvement using Language Feedback Models

Guiding Language Model Reasoning with Planning Tokens

Joint Prompt Optimization of Stacked LLMs using Variational Inference

It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance

Interactive Machine Comprehension with Dynamic Knowledge Graphs

Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Learning Dynamic Belief Graphs to Generalize on Text-Based Games

An Empirical Study on Neural Keyphrase Generation

Role-Wise Data Augmentation For Knowledge Distillation

Interactive Language Learning by Question Answering

Interactive Fiction Games: A Colossal Adventure

Interactive Machine Comprehension with Information Seeking Agents

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension

Towards Solving Text-based Games by Producing Adaptive Action Spaces

Generating Diverse Numbers of Diverse Keyphrases

Counting to Explore and Generalize in Text-based Games

Counting to Explore and Generalize in Text-based Games

TextWorld: A Learning Environment for Text-based Games

Rapid Adaptation with Conditionally Shifted Neurons

A Joint Model for Question Answering and Question Generation

Machine Comprehension by Text-to-Text Neural Question Generation

NewsQA: A Machine Comprehension Dataset

Natural Language Comprehension with EpiReader

A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data

Evolving Programmatic Skill Networks

Gistify! Codebase-Level Understanding via Runtime Execution

Learning to Solve Complex Problems via Dataset Decomposition

TALES: Text Adventure Learning Environment Suite

debug-gym: A Text-Based Environment for Interactive Debugging

Language-guided Skill Learning with Temporal Variational Inference

Think Before You Act: Decision Transformers with Internal Working Memory

Policy Improvement using Language Feedback Models

Guiding Language Model Reasoning with Planning Tokens

Joint Prompt Optimization of Stacked LLMs using Variational Inference

Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Learning Dynamic Belief Graphs to Generalize on Text-Based Games

An Empirical Study on Neural Keyphrase Generation

Role-Wise Data Augmentation For Knowledge Distillation

Interactive Language Learning by Question Answering

Interactive Fiction Games: A Colossal Adventure

Interactive Machine Comprehension with Information Seeking Agents

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension

Towards Solving Text-based Games by Producing Adaptive Action Spaces

Generating Diverse Numbers of Diverse Keyphrases

Counting to Explore and Generalize in Text-based Games

Counting to Explore and Generalize in Text-based Games

TextWorld: A Learning Environment for Text-based Games

Rapid Adaptation with Conditionally Shifted Neurons

A Joint Model for Question Answering and Question Generation

Machine Comprehension by Text-to-Text Neural Question Generation

NewsQA: A Machine Comprehension Dataset

Natural Language Comprehension with EpiReader

A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data

debug-gym: A Text-Based Environment for Interactive Debugging

It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance

Interactive Machine Comprehension with Dynamic Knowledge Graphs

Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension

Rapid Adaptation with Conditionally Shifted Neurons

A Joint Model for Question Answering and Question Generation

Machine Comprehension by Text-to-Text Neural Question Generation

Natural Language Comprehension with EpiReader

A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Learning Dynamic Belief Graphs to Generalize on Text-Based Games

Evolving Programmatic Skill Networks