Xingdi Yuan

89 papers A* 13A 2Misc 1Journal 53Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evolving Programmatic Skill Networks.
CoRR
Haochen Shi, Xingdi Yuan, Bang Liu
2025 J jnl
BugPilot: Complex Bug Generation for Efficient Learning of SWE Skills.
CoRR
Atharv Sonwane, Isadora White, Hyunji Lee, Matheus Pereira, Lucas Caccia, Minseon Kim, Zhengyan Shi, Chinmay Singh, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan
2025 J jnl
ByteSized32Refactored: Towards an Extensible Interactive Text Games Corpus for LLM World Modeling and Evaluation.
CoRR
Haonan Wang, Junfeng Sun, Xingdi Yuan, Ruoyao Wang, Ziang Xiao
2025 J jnl
Gistify! Codebase-Level Understanding via Runtime Execution.
CoRR
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
2025 J jnl
Learning to Extract Context for Context-Aware LLM Inference.
CoRR
Minseon Kim, Lucas Caccia, Zhengyan Shi, Matheus Pereira, Marc-Alexandre Côté, Xingdi Yuan, Alessandro Sordoni
2025 — conf
Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs.
ACL (1)
Jingcheng Niu, Xingdi Yuan, Tong Wang, Hamidreza Saghir, Amir H. Abdi
2025 J jnl
Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs.
CoRR
Jingcheng Niu, Xingdi Yuan, Tong Wang, Hamidreza Saghir, Amir H. Abdi
2025 J jnl
TALES: Text Adventure Learning Environment Suite.
CoRR
Christopher Zhang Cui, Xingdi Yuan, Ziang Xiao, Prithviraj Ammanabrolu, Marc-Alexandre Côté
2025 J jnl
debug-gym: A Text-Based Environment for Interactive Debugging.
CoRR
Xingdi Yuan, Morgane M. Moss, Charbel El Feghali, Chinmay Singh, Darya Moldavskaya, Drew MacPhee, Lucas Caccia, Matheus Pereira, Minseon Kim, Alessandro Sordoni, Marc-Alexandre Côté
2024 — conf
Can Language Models Serve as Text-Based World Simulators?
ACL (Short Papers)
Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter A. Jansen
2024 J jnl
Can Language Models Serve as Text-Based World Simulators?
CoRR
Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter A. Jansen
2024 — conf
Enhancing Agent Learning through World Dynamics Modeling.
EMNLP (Findings)
Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu
2024 J jnl
Enhancing Agent Learning through World Dynamics Modeling.
CoRR
Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu
2024 J jnl
GPT-3-Driven Pedagogical Agents to Train Children's Curious Question-Asking Skills.
Int. J. Artif. Intell. Educ.
Rania Abdelghani, Yen-Hsiang Wang, Xingdi Yuan, Tong Wang, Pauline Lucas, Hélène Sauzéon, Pierre-Yves Oudeyer
2024 A* conf
Language-guided Skill Learning with Temporal Variational Inference.
ICML
Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan
2024 J jnl
Language-guided Skill Learning with Temporal Variational Inference.
CoRR
Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan
2024 — conf
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following.
ACL (1)
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
2024 J jnl
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following.
CoRR
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
2024 A conf
OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following.
AAMAS
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
2024 A* conf
Policy Improvement using Language Feedback Models.
NeurIPS
Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
2024 J jnl
Policy Improvement using Language Feedback Models.
CoRR
Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
2024 A* conf
Think Before You Act: Decision Transformers with Working Memory.
ICML
Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu
2024 J jnl
V-STaR: Training Verifiers for Self-Taught Reasoners.
CoRR
Arian Hosseini, Xingdi Yuan, Nikolay Malkin, Aaron C. Courville, Alessandro Sordoni, Rishabh Agarwal
2023 J jnl
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld.
CoRR
Laetitia Teodorescu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer
2023 — conf
Augmenting Autotelic Agents with Large Language Models.
CoLLAs
Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté
2023 J jnl
Augmenting Autotelic Agents with Large Language Models.
CoRR
Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté
2023 A* conf
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games.
EMNLP
Ruoyao Wang, Graham Todd, Xingdi Yuan, Ziang Xiao, Marc-Alexandre Côté, Peter A. Jansen
2023 J jnl
Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference.
CoRR
Alessandro Sordoni, Xingdi Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
2023 — conf
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation.
ACL (Findings)
Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He
2023 J jnl
Guiding Language Model Reasoning with Planning Tokens.
CoRR
Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni
2023 — conf
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance.
ACL (Findings)
Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
2023 J jnl
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance.
CoRR
Arjun Subramonian, Xingdi Yuan, Hal Daumé III, Su Lin Blodgett
2023 A conf
One-Shot Learning from a Demonstration with Hierarchical Latent Language.
AAMAS
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
2023 — conf
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation.
ACL (Findings)
Xingdi Yuan, Tong Wang, Yen-Hsiang Wang, Emery Fine, Rania Abdelghani, Hélène Sauzéon, Pierre-Yves Oudeyer
2023 — conf
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding.
IUI Companion
Ziang Xiao, Xingdi Yuan, Q. Vera Liao, Rania Abdelghani, Pierre-Yves Oudeyer
2023 J jnl
Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding.
CoRR
Ziang Xiao, Xingdi Yuan, Q. Vera Liao, Rania Abdelghani, Pierre-Yves Oudeyer
2022 A* conf
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language.
ICML
Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing
2022 J jnl
Asking for Knowledge: Training RL Agents to Query External Knowledge Using Language.
CoRR
Iou-Jen Liu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer, Alexander G. Schwing
2022 J jnl
Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents.
CoRR
Laetitia Teodorescu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer
2022 J jnl
GPT-3-driven pedagogical agents for training children's curious question-asking skills.
CoRR
Rania Abdelghani, Yen-Hsiang Wang, Xingdi Yuan, Tong Wang, Hélène Sauzéon, Pierre-Yves Oudeyer
2022 J jnl
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation.
CoRR
Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He
2022 J jnl
One-Shot Learning from a Demonstration with Hierarchical Latent Language.
CoRR
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew J. Hausknecht, Romain Laroche, Ida Momennejad, Harm van Seijen, Benjamin Van Durme
2022 J jnl
Selecting Better Samples from Pre-trained LLMs: A Case Study on Question Generation.
CoRR
Xingdi Yuan, Tong Wang, Yen-Hsiang Wang, Emery Fine, Rania Abdelghani, Pauline Lucas, Hélène Sauzéon, Pierre-Yves Oudeyer
2021 A* conf
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.
ICLR
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht
2021 — conf
An Empirical Study on Neural Keyphrase Generation.
NAACL-HLT
Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
2021 — conf
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents.
ACL/IJCNLP (2)
Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He
2021 J jnl
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents.
CoRR
Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He
2021 — conf
Interactive Machine Comprehension with Dynamic Knowledge Graphs.
EMNLP (1)
Xingdi Yuan
2021 J jnl
Interactive Machine Comprehension with Dynamic Knowledge Graphs.
CoRR
Xingdi Yuan
2020 J jnl
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.
CoRR
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht
2020 J jnl
An Empirical Study on Neural Keyphrase Generation.
CoRR
Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He
2020 A* conf
Graph Policy Network for Transferable Active Learning on Graphs.
NeurIPS
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
2020 J jnl
Graph Policy Network for Transferable Active Learning on Graphs.
CoRR
Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang
2020 A* conf
Interactive Fiction Games: A Colossal Adventure.
AAAI
Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
2020 A* conf
Interactive Machine Comprehension with Information Seeking Agents.
ACL
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal, Adam Trischler
2020 A* conf
Learning Dynamic Belief Graphs to Generalize on Text-Based Games.
NeurIPS
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
2020 J jnl
Learning Dynamic Knowledge Graphs to Generalize on Text-Based Games.
CoRR
Ashutosh Adhikari, Xingdi Yuan, Marc-Alexandre Côté, Mikulas Zelinka, Marc-Antoine Rondeau, Romain Laroche, Pascal Poupart, Jian Tang, Adam Trischler, William L. Hamilton
2020 A* conf
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases.
ACL
Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Peter Brusilovsky, Daqing He, Adam Trischler
2020 J jnl
Role-Wise Data Augmentation for Knowledge Distillation.
CoRR
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong
2019 — conf
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension.
ICLR (Poster)
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
2019 J jnl
Building Dynamic Knowledge Graphs from Text-based Games.
CoRR
Mikulas Zelinka, Xingdi Yuan, Marc-Alexandre Côté, Romain Laroche, Adam Trischler
2019 J jnl
Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence.
CoRR
Rui Meng, Xingdi Yuan, Tong Wang, Peter Brusilovsky, Adam Trischler, Daqing He
2019 J jnl
Interactive Fiction Games: A Colossal Adventure.
CoRR
Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan
2019 — conf
Interactive Language Learning by Question Answering.
EMNLP/IJCNLP (1)
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler
2019 J jnl
Interactive Language Learning by Question Answering.
CoRR
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio, Adam Trischler
2019 J jnl
Interactive Machine Comprehension with Information Seeking Agents.
CoRR
Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher J. Pal, Adam Trischler
2019 — conf
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives.
ACL (1)
Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
2019 J jnl
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives.
CoRR
Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
2018 J jnl
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension.
CoRR
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum
2018 J jnl
Counting to Explore and Generalize in Text-based Games.
CoRR
Xingdi Yuan, Marc-Alexandre Côté, Alessandro Sordoni, Romain Laroche, Remi Tachet des Combes, Matthew J. Hausknecht, Adam Trischler
2018 J jnl
Generating Diverse Numbers of Diverse Keyphrases.
CoRR
Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler
2018 — conf
Neural Models for Key Phrase Extraction and Question Generation.
QA@ACL
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, Yoshua Bengio
2018 A* conf
Rapid Adaptation with Conditionally Shifted Neurons.
ICML
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler
2018 — conf
TextWorld: A Learning Environment for Text-Based Games.
CGW@IJCAI
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
2018 J jnl
TextWorld: A Learning Environment for Text-based Games.
CoRR
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
2018 J jnl
Towards Solving Text-based Games by Producing Adaptive Action Spaces.
CoRR
Ruo Yu Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri
2017 J jnl
A Joint Model for Question Answering and Question Generation.
CoRR
Tong Wang, Xingdi Yuan, Adam Trischler
2017 J jnl
Learning Rapid-Temporal Adaptations.
CoRR
Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Tong Wang, Adam Trischler
2017 — conf
Machine Comprehension by Text-to-Text Neural Question Generation.
Rep4NLP@ACL
Xingdi Yuan, Tong Wang, Çaglar Gülçehre, Alessandro Sordoni, Philip Bachman, Saizheng Zhang, Sandeep Subramanian, Adam Trischler
2017 J jnl
Machine Comprehension by Text-to-Text Neural Question Generation.
CoRR
Xingdi Yuan, Tong Wang, Çaglar Gülçehre, Alessandro Sordoni, Philip Bachman, Sandeep Subramanian, Saizheng Zhang, Adam Trischler
2017 J jnl
Neural Models for Key Phrase Detection and Question Generation.
CoRR
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Adam Trischler
2017 — conf
NewsQA: A Machine Comprehension Dataset.
Rep4NLP@ACL
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
2016 — conf
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data.
ACL (1)
Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman
2016 J jnl
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data.
CoRR
Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman, Kaheer Suleman
2016 A* conf
Natural Language Comprehension with the EpiReader.
EMNLP
Adam Trischler, Zheng Ye, Xingdi Yuan, Philip Bachman, Alessandro Sordoni, Kaheer Suleman
2016 J jnl
Natural Language Comprehension with the EpiReader.
CoRR
Adam Trischler, Zheng Ye, Xingdi Yuan, Kaheer Suleman
2016 J jnl
NewsQA: A Machine Comprehension Dataset.
CoRR
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
2014 J jnl
Semantic aware sport image resizing jointly using seam carving and warping.
Multim. Tools Appl.
Lifang Wu, Yu Gong, Xingdi Yuan, Xiuzhen Zhang, Lianchao Cao
2011 Misc conf
Predicting the weights of a weighted mean distance model using BP NN for robot simulated soccer.
ICNC
Guoyu Zuo, Xingdi Yuan, Daoxiong Gong, Chao Liang