Xingdi Yuan

According to our database, Xingdi Yuan authored at least 52 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following.

Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu

CoRR, 2024

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

CoRR, 2024

Policy Improvement using Language Feedback Models.

Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté

CoRR, 2024

V-STaR: Training Verifiers for Self-Taught Reasoners.

Arian Hosseini, Xingdi Yuan, Nikolay Malkin, Aaron C. Courville, Alessandro Sordoni, Rishabh Agarwal

CoRR, 2024

2023

Guiding Language Model Reasoning with Planning Tokens.

Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni

CoRR, 2023

Deep Language Networks: Joint Prompt Training 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

CoRR, 2023

A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld.

Laetitia Teodorescu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer

CoRR, 2023

Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding.

Ziang Xiao, Xingdi Yuan, Q. Vera Liao, Rania Abdelghani, Pierre-Yves Oudeyer

Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games.

Ruoyao Wang, Graham Todd, Xingdi Yuan, Ziang Xiao, Marc-Alexandre Côté, Peter A. Jansen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Augmenting Autotelic Agents with Large Language Models.

Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté

Proceedings of the Conference on Lifelong Learning Agents, 2023

One-Shot Learning from a Demonstration with Hierarchical Latent Language.

Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation.

Xingdi Yuan, Tong Wang, Yen-Hsiang Wang, Emery Fine, Rania Abdelghani, Hélène Sauzéon, Pierre-Yves Oudeyer

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation.

Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

GPT-3-driven pedagogical agents for training children's curious question-asking skills.

Rania Abdelghani, Yen-Hsiang Wang, Xingdi Yuan, Tong Wang, Hélène Sauzéon, Pierre-Yves Oudeyer

CoRR, 2022

Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation.

Xingdi Yuan, Tong Wang, Yen-Hsiang Wang, Emery Fine, Rania Abdelghani, Pauline Lucas, Hélène Sauzéon, Pierre-Yves Oudeyer

CoRR, 2022

Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents.

Laetitia Teodorescu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer

CoRR, 2022

Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language.

Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing

CoRR, 2022

Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language.

Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing

Proceedings of the International Conference on Machine Learning, 2022

2021

An Empirical Study on Neural Keyphrase Generation.

Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht

Proceedings of the 9th International Conference on Learning Representations, 2021

Interactive Machine Comprehension with Dynamic Knowledge Graphs.

Xingdi Yuan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

CoRR, 2020

Learning Dynamic Knowledge 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

CoRR, 2020

Graph Policy Network for Transferable Active Learning on Graphs.

Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases.

Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Peter Brusilovsky, Daqing He, Adam Trischler

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Interactive Machine Comprehension with Information Seeking Agents.

Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal, Adam Trischler

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Interactive Fiction Games: A Colossal Adventure.

Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Building Dynamic Knowledge Graphs from Text-based Games.

Mikulas Zelinka, Xingdi Yuan, Marc-Alexandre Côté, Romain Laroche, Adam Trischler

CoRR, 2019

Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence.

Rui Meng, Xingdi Yuan, Tong Wang, Peter Brusilovsky, Adam Trischler, Daqing He

CoRR, 2019

Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension.

Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum

Proceedings of the 7th International Conference on Learning Representations, 2019

Interactive Language Learning by Question Answering.

Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

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

Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Towards Solving Text-based Games by Producing Adaptive Action Spaces.

Ruo Yu Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri

CoRR, 2018

Generating Diverse Numbers of Diverse Keyphrases.

Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler

CoRR, 2018

Counting to Explore and Generalize in Text-based Games.

Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, Adam Trischler

CoRR, 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 J. Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler

Proceedings of the Computer Games - 7th Workshop, 2018

Rapid Adaptation with Conditionally Shifted Neurons.

Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler

Proceedings of the 35th International Conference on Machine Learning, 2018

Neural Models for Key Phrase Extraction and Question Generation.

Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, Yoshua Bengio

Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017

Learning Rapid-Temporal Adaptations.

Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Tong Wang, Adam Trischler

CoRR, 2017

A Joint Model for Question Answering and Question Generation.

Tong Wang, Xingdi Yuan, Adam Trischler

CoRR, 2017

Neural Models for Key Phrase Detection and Question Generation.

Sandeep Subramanian, Tong Wang, Xingdi Yuan, Adam Trischler

CoRR, 2017

Machine Comprehension by Text-to-Text Neural Question Generation.

Xingdi Yuan, Tong Wang, Çaglar Gülçehre, Alessandro Sordoni, Philip Bachman, Saizheng Zhang, Sandeep Subramanian, Adam Trischler

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

NewsQA: A Machine Comprehension Dataset.

Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

2016

Natural Language Comprehension with the EpiReader.

Adam Trischler, Zheng Ye, Xingdi Yuan, Kaheer Suleman

CoRR, 2016

A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data.

Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman, Kaheer Suleman

CoRR, 2016

Natural Language Comprehension with the EpiReader.

Adam Trischler, Zheng Ye, Xingdi Yuan, Philip Bachman, Alessandro Sordoni, Kaheer Suleman

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data.

Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2014

Semantic aware sport image resizing jointly using seam carving and warping.

Lifang Wu, Yu Gong, Xingdi Yuan, Xiuzhen Zhang, Lianchao Cao

Multim. Tools Appl., 2014

2011

Predicting the weights of a weighted mean distance model using BP NN for robot simulated soccer.

Guoyu Zuo, Xingdi Yuan, Daoxiong Gong, Chao Liang

Proceedings of the Seventh International Conference on Natural Computation, 2011