Xingdi Yuan

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 72

Top Topics

Top Venues

Publications

Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan
Language-guided Skill Learning with Temporal Variational Inference. CoRR (2024)
Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter A. Jansen
Can Language Models Serve as Text-Based World Simulators? CoRR (2024)
Rania Abdelghani, Yen-Hsiang Wang, Xingdi Yuan, Tong Wang, Pauline Lucas, Hélène Sauzéon, Pierre-Yves Oudeyer
GPT-3-Driven Pedagogical Agents to Train Children's Curious Question-Asking Skills. Int. J. Artif. Intell. Educ. 34 (2) (2024)
Arian Hosseini, Xingdi Yuan, Nikolay Malkin, Aaron C. Courville, Alessandro Sordoni, Rishabh Agarwal
V-STaR: Training Verifiers for Self-Taught Reasoners. CoRR (2024)
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following. AAMAS (2024)
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following. ACL (1) (2024)
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following. CoRR (2024)
Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
Policy Improvement using Language Feedback Models. CoRR (2024)
Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu
Enhancing Agent Learning through World Dynamics Modeling. CoRR (2024)
Ziang Xiao, Xingdi Yuan, Q. Vera Liao, Rania Abdelghani, Pierre-Yves Oudeyer
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding. IUI Companion (2023)
Xingdi Yuan, Tong Wang, Yen-Hsiang Wang, Emery Fine, Rania Abdelghani, Hélène Sauzéon, Pierre-Yves Oudeyer
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation. ACL (Findings) (2023)
Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. CoRR (2023)
Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni
Guiding Language Model Reasoning with Planning Tokens. CoRR (2023)
Ziang Xiao, Xingdi Yuan, Q. Vera Liao, Rania Abdelghani, Pierre-Yves Oudeyer
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding. CoRR (2023)
Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance. ACL (Findings) (2023)
Laetitia Teodorescu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld. CoRR (2023)
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
One-Shot Learning from a Demonstration with Hierarchical Latent Language. AAMAS (2023)
Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté
Augmenting Autotelic Agents with Large Language Models. CoRR (2023)
Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation. ACL (Findings) (2023)
Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference. CoRR (2023)
Ruoyao Wang, Graham Todd, Xingdi Yuan, Ziang Xiao, Marc-Alexandre Côté, Peter A. Jansen
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games. EMNLP (2023)
Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté
Augmenting Autotelic Agents with Large Language Models. CoLLAs (2023)
Xingdi Yuan, Tong Wang, Yen-Hsiang Wang, Emery Fine, Rania Abdelghani, Pauline Lucas, Hélène Sauzéon, Pierre-Yves Oudeyer
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation. CoRR (2022)
Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language. ICML (2022)
Rania Abdelghani, Yen-Hsiang Wang, Xingdi Yuan, Tong Wang, Hélène Sauzéon, Pierre-Yves Oudeyer
GPT-3-driven pedagogical agents for training children's curious question-asking skills. CoRR (2022)
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
One-Shot Learning from a Demonstration with Hierarchical Latent Language. CoRR (2022)
Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language. CoRR (2022)
Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation. CoRR (2022)
Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents. ACL/IJCNLP (2) (2021)
Xingdi Yuan
Interactive Machine Comprehension with Dynamic Knowledge Graphs. CoRR (2021)
Xingdi Yuan
Interactive Machine Comprehension with Dynamic Knowledge Graphs. EMNLP (1) (2021)
Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
An Empirical Study on Neural Keyphrase Generation. NAACL-HLT (2021)
Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents. CoRR (2021)
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning. ICLR (2021)
Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
An Empirical Study on Neural Keyphrase Generation. CoRR (2020)
Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Peter Brusilovsky, Daqing He, Adam Trischler
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases. ACL (2020)
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning. CoRR (2020)
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
Learning Dynamic Belief Graphs to Generalize on Text-Based Games. NeurIPS (2020)
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
Role-Wise Data Augmentation for Knowledge Distillation. CoRR (2020)
Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
Interactive Fiction Games: A Colossal Adventure. AAAI (2020)
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games. CoRR (2020)
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
Graph Policy Network for Transferable Active Learning on Graphs. NeurIPS (2020)
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal, Adam Trischler
Interactive Machine Comprehension with Information Seeking Agents. ACL (2020)
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
Graph Policy Network for Transferable Active Learning on Graphs. CoRR (2020)
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio, Adam Trischler
Interactive Language Learning by Question Answering. CoRR (2019)
Rui Meng, Xingdi Yuan, Tong Wang, Peter Brusilovsky, Adam Trischler, Daqing He
Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence. CoRR (2019)
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler
Interactive Language Learning by Question Answering. EMNLP/IJCNLP (1) (2019)
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. ICLR (Poster) (2019)
Mikulas Zelinka, Xingdi Yuan, Marc-Alexandre Côté, Romain Laroche, Adam Trischler
Building Dynamic Knowledge Graphs from Text-based Games. CoRR (2019)
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher J. Pal, Adam Trischler
Interactive Machine Comprehension with Information Seeking Agents. CoRR (2019)
Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. ACL (1) (2019)
Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
Interactive Fiction Games: A Colossal Adventure. CoRR (2019)
Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. CoRR (2019)
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, Yoshua Bengio
Neural Models for Key Phrase Extraction and Question Generation. QA@ACL (2018)
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. CoRR (2018)
Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler
Generating Diverse Numbers of Diverse Keyphrases. CoRR (2018)
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, Adam Trischler
Counting to Explore and Generalize in Text-based Games. CoRR (2018)
Ruo Yu Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri
Towards Solving Text-based Games by Producing Adaptive Action Spaces. CoRR (2018)
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew J. Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
TextWorld: A Learning Environment for Text-Based Games. CGW@IJCAI (2018)
Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew J. Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler
TextWorld: A Learning Environment for Text-based Games. CoRR (2018)
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
Rapid Adaptation with Conditionally Shifted Neurons. ICML (2018)
Tong Wang, Xingdi Yuan, Adam Trischler
A Joint Model for Question Answering and Question Generation. CoRR (2017)
Xingdi Yuan, Tong Wang, Çaglar Gülçehre, Alessandro Sordoni, Philip Bachman, Sandeep Subramanian, Saizheng Zhang, Adam Trischler
Machine Comprehension by Text-to-Text Neural Question Generation. CoRR (2017)
Xingdi Yuan, Tong Wang, Çaglar Gülçehre, Alessandro Sordoni, Philip Bachman, Saizheng Zhang, Sandeep Subramanian, Adam Trischler
Machine Comprehension by Text-to-Text Neural Question Generation. Rep4NLP@ACL (2017)
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Adam Trischler
Neural Models for Key Phrase Detection and Question Generation. CoRR (2017)
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Tong Wang, Adam Trischler
Learning Rapid-Temporal Adaptations. CoRR (2017)
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
NewsQA: A Machine Comprehension Dataset. Rep4NLP@ACL (2017)
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
NewsQA: A Machine Comprehension Dataset. CoRR (2016)
Adam Trischler, Zheng Ye, Xingdi Yuan, Philip Bachman, Alessandro Sordoni, Kaheer Suleman
Natural Language Comprehension with the EpiReader. EMNLP (2016)
Adam Trischler, Zheng Ye, Xingdi Yuan, Kaheer Suleman
Natural Language Comprehension with the EpiReader. CoRR (2016)
Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data. ACL (1) (2016)
Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman, Kaheer Suleman
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data. CoRR (2016)
Lifang Wu, Yu Gong, Xingdi Yuan, Xiuzhen Zhang, Lianchao Cao
Semantic aware sport image resizing jointly using seam carving and warping. Multim. Tools Appl. 70 (2) (2014)
Guoyu Zuo, Xingdi Yuan, Daoxiong Gong, Chao Liang
Predicting the weights of a weighted mean distance model using BP NN for robot simulated soccer. ICNC (2011)