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
Eric Yuan
Senior Researcher
Publications
Publications by Year
-
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
Policy Improvement using Language Feedback Models
Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
NeurIPS 2024 | February 2024
-
Guiding Language Model Reasoning with Planning Tokens
Xinyi Wang, Lucas Caccia, O. Ostapenko, Xingdi Yuan, Alessandro Sordoni
October 2023
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
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
-
Interactive Machine Comprehension with Dynamic Knowledge Graphs
EMNLP 2021 | November 2021
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
-
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
October 2020
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
An Empirical Study on Neural Keyphrase Generation
Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
September 2020
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
-
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
EMNLP | November 2019
Interactive Fiction Games: A Colossal Adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
AAAI 2020 | October 2019
ArXiv
Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
August 2019
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
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
ICLR 2019 | April 2019
-
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
Generating Diverse Numbers of Diverse Keyphrases
Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler
October 2018
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
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
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
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
-
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
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
-
NewsQA: A Machine Comprehension Dataset
Adam Trischler, Tong Wang, Xingdi (Eric) Yuan, Justin D. Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
November 2016
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
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
Publications by Research Area
-
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
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
Policy Improvement using Language Feedback Models
Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
NeurIPS 2024 | February 2024
Guiding Language Model Reasoning with Planning Tokens
Xinyi Wang, Lucas Caccia, O. Ostapenko, Xingdi Yuan, Alessandro Sordoni
October 2023
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
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
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
October 2020
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
An Empirical Study on Neural Keyphrase Generation
Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
September 2020
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
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
EMNLP | November 2019
Interactive Fiction Games: A Colossal Adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
AAAI 2020 | October 2019
ArXiv
Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
August 2019
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
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
ICLR 2019 | April 2019
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
Generating Diverse Numbers of Diverse Keyphrases
Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler
October 2018
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
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
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
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
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
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
NewsQA: A Machine Comprehension Dataset
Adam Trischler, Tong Wang, Xingdi (Eric) Yuan, Justin D. Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
November 2016
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
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
-
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
Interactive Machine Comprehension with Dynamic Knowledge Graphs
EMNLP 2021 | November 2021
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
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
October 2020
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
ICLR 2019 | April 2019
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
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
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
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
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
-
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
October 2020
-
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
Publications by Type
-
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
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
Policy Improvement using Language Feedback Models
Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
NeurIPS 2024 | February 2024
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
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
Interactive Machine Comprehension with Dynamic Knowledge Graphs
EMNLP 2021 | November 2021
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
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
Interactive Language Learning by Question Answering
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher Pal, Yoshua Bengio, Adam Trischler
EMNLP | November 2019
Interactive Fiction Games: A Colossal Adventure
Matthew Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
AAAI 2020 | October 2019
ArXiv
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
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
ICLR 2019 | April 2019
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
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
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
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
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
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
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
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
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
-
Guiding Language Model Reasoning with Planning Tokens
Xinyi Wang, Lucas Caccia, O. Ostapenko, Xingdi Yuan, Alessandro Sordoni
October 2023
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
October 2020
An Empirical Study on Neural Keyphrase Generation
Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
September 2020
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
Generating Diverse Numbers of Diverse Keyphrases
Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler
October 2018
NewsQA: A Machine Comprehension Dataset
Adam Trischler, Tong Wang, Xingdi (Eric) Yuan, Justin D. Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
November 2016
-
Interactive Machine Comprehension with Information Seeking Agents
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher Pal, Adam Trischler
August 2019