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2020 – today
- 2024
[j2]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): 483-518 (2024)- [c34]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? ACL (Short Papers) 2024: 1-17 - [c33]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: 622-636 - [c32]Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu:
OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following. AAMAS 2024: 2465-2467 - [c31]Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu:
Enhancing Agent Learning through World Dynamics Modeling. EMNLP (Findings) 2024: 3534-3568 - [c30]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. ICML 2024 - [c29]Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu:
Think Before You Act: Decision Transformers with Working Memory. ICML 2024 - [i43]Arian Hosseini, Xingdi Yuan, Nikolay Malkin, Aaron C. Courville, Alessandro Sordoni, Rishabh Agarwal:
V-STaR: Training Verifiers for Self-Taught Reasoners. CoRR abs/2402.06457 (2024) - [i42]Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté:
Policy Improvement using Language Feedback Models. CoRR abs/2402.07876 (2024) - [i41]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 abs/2402.16354 (2024) - [i40]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 abs/2403.03017 (2024) - [i39]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 abs/2406.06485 (2024) - [i38]Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu:
Enhancing Agent Learning through World Dynamics Modeling. CoRR abs/2407.17695 (2024) - 2023
- [c28]Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He:
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation. ACL (Findings) 2023: 1602-1618 - [c27]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: 3234-3279 - [c26]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: 12952-12965 - [c25]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: 2388-2390 - [c24]Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté:
Augmenting Autotelic Agents with Large Language Models. CoLLAs 2023: 205-226 - [c23]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: 13455-13471 - [c22]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: 75-78 - [i37]Laetitia Teodorescu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer:
A Song of Ice and Fire: Analyzing Textual Autotelic Agents in ScienceWorld. CoRR abs/2302.05244 (2023) - [i36]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 abs/2304.10548 (2023) - [i35]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 abs/2305.09022 (2023) - [i34]Cédric Colas, Laetitia Teodorescu, Pierre-Yves Oudeyer, Xingdi Yuan, Marc-Alexandre Côté:
Augmenting Autotelic Agents with Large Language Models. CoRR abs/2305.12487 (2023) - [i33]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 abs/2306.12509 (2023) - [i32]Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni:
Guiding Language Model Reasoning with Planning Tokens. CoRR abs/2310.05707 (2023) - 2022
- [c21]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: 14073-14093 - [i31]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 abs/2203.04806 (2022) - [i30]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 abs/2205.06111 (2022) - [i29]Laetitia Teodorescu, Xingdi Yuan, Marc-Alexandre Côté, Pierre-Yves Oudeyer:
Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents. CoRR abs/2207.04118 (2022) - [i28]Rui Meng, Tong Wang, Xingdi Yuan, Yingbo Zhou, Daqing He:
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation. CoRR abs/2208.09606 (2022) - [i27]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 abs/2209.11000 (2022) - [i26]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 abs/2211.14228 (2022) - 2021
- [c20]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: 1080-1089 - [c19]Xingdi Yuan:
Interactive Machine Comprehension with Dynamic Knowledge Graphs. EMNLP (1) 2021: 6734-6750 - [c18]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 - [c17]Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He:
An Empirical Study on Neural Keyphrase Generation. NAACL-HLT 2021: 4985-5007 - [i25]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 abs/2106.00130 (2021) - [i24]Xingdi Yuan:
Interactive Machine Comprehension with Dynamic Knowledge Graphs. CoRR abs/2109.00077 (2021) - 2020
- [c16]Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan:
Interactive Fiction Games: A Colossal Adventure. AAAI 2020: 7903-7910 - [c15]Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal, Adam Trischler:
Interactive Machine Comprehension with Information Seeking Agents. ACL 2020: 2325-2338 - [c14]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: 7961-7975 - [c13]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 - [c12]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 - [i23]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 abs/2002.09127 (2020) - [i22]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 abs/2004.08861 (2020) - [i21]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 abs/2006.13463 (2020) - [i20]Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He:
An Empirical Study on Neural Keyphrase Generation. CoRR abs/2009.10229 (2020) - [i19]Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht:
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning. CoRR abs/2010.03768 (2020)
2010 – 2019
- 2019
- [c11]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: 4922-4931 - [c10]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: 2796-2813 - [c9]Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum:
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. ICLR (Poster) 2019 - [i18]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 abs/1905.10847 (2019) - [i17]Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Christopher J. Pal, Adam Trischler:
Interactive Machine Comprehension with Information Seeking Agents. CoRR abs/1908.10449 (2019) - [i16]Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio, Adam Trischler:
Interactive Language Learning by Question Answering. CoRR abs/1908.10909 (2019) - [i15]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 abs/1909.03590 (2019) - [i14]Matthew J. Hausknecht, Prithviraj Ammanabrolu, Marc-Alexandre Côté, Xingdi Yuan:
Interactive Fiction Games: A Colossal Adventure. CoRR abs/1909.05398 (2019) - [i13]Mikulas Zelinka, Xingdi Yuan, Marc-Alexandre Côté, Romain Laroche, Adam Trischler:
Building Dynamic Knowledge Graphs from Text-based Games. CoRR abs/1910.09532 (2019) - 2018
- [c8]Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, Yoshua Bengio:
Neural Models for Key Phrase Extraction and Question Generation. QA@ACL 2018: 78-88 - [c7]Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler:
Rapid Adaptation with Conditionally Shifted Neurons. ICML 2018: 3661-3670 - [c6]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: 41-75 - [i12]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 abs/1806.11525 (2018) - [i11]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 abs/1806.11532 (2018) - [i10]Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler:
Generating Diverse Numbers of Diverse Keyphrases. CoRR abs/1810.05241 (2018) - [i9]Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum:
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. CoRR abs/1810.05682 (2018) - [i8]Ruo Yu Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri:
Towards Solving Text-based Games by Producing Adaptive Action Spaces. CoRR abs/1812.00855 (2018) - 2017
- [c5]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: 15-25 - [c4]Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman:
NewsQA: A Machine Comprehension Dataset. Rep4NLP@ACL 2017: 191-200 - [i7]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 abs/1705.02012 (2017) - [i6]Tong Wang, Xingdi Yuan, Adam Trischler:
A Joint Model for Question Answering and Question Generation. CoRR abs/1706.01450 (2017) - [i5]Sandeep Subramanian, Tong Wang, Xingdi Yuan, Adam Trischler:
Neural Models for Key Phrase Detection and Question Generation. CoRR abs/1706.04560 (2017) - [i4]Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Tong Wang, Adam Trischler:
Learning Rapid-Temporal Adaptations. CoRR abs/1712.09926 (2017) - 2016
- [c3]Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman:
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data. ACL (1) 2016 - [c2]Adam Trischler, Zheng Ye, Xingdi Yuan, Philip Bachman, Alessandro Sordoni, Kaheer Suleman:
Natural Language Comprehension with the EpiReader. EMNLP 2016: 128-137 - [i3]Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman, Kaheer Suleman:
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data. CoRR abs/1603.08884 (2016) - [i2]Adam Trischler, Zheng Ye, Xingdi Yuan, Kaheer Suleman:
Natural Language Comprehension with the EpiReader. CoRR abs/1606.02270 (2016) - [i1]Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman:
NewsQA: A Machine Comprehension Dataset. CoRR abs/1611.09830 (2016) - 2014
- [j1]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): 721-739 (2014) - 2011
- [c1]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: 626-630
Coauthor Index
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last updated on 2024-11-19 21:45 CET by the dblp team
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