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Adam Trischler
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2020 – today
- 2024
- [c44]Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Challenges to Evaluating the Generalization of Coreference Resolution Models: A Measurement Modeling Perspective. ACL (Findings) 2024: 15380-15395 - [c43]Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu:
Think Before You Act: Decision Transformers with Working Memory. ICML 2024 - 2023
- [c42]Akshatha Arodi, Martin Pömsl
, Kaheer Suleman, Adam Trischler, Alexandra Olteanu, Jackie Chi Kit Cheung:
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources. ACL (1) 2023: 15088-15108 - [c41]Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler:
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. EMNLP (Findings) 2023: 6246-6261 - [c40]Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux:
Joint Prompt Optimization of Stacked LLMs using Variational Inference. NeurIPS 2023 - [i45]Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Investigating Failures to Generalize for Coreference Resolution Models. CoRR abs/2303.09092 (2023) - [i44]Jikun Kang, Romain Laroche, Xindi Yuan, Adam Trischler, Xue Liu, Jie Fu:
Think Before You Act: Decision Transformers with Internal Working Memory. CoRR abs/2305.16338 (2023) - [i43]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) - [i42]Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler:
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. CoRR abs/2311.11103 (2023) - 2022
- [c39]Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu:
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. NAACL-HLT 2022: 314-324 - [i41]Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu:
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. CoRR abs/2205.06828 (2022) - [i40]Akshatha Arodi, Martin Pömsl, Kaheer Suleman, Adam Trischler, Alexandra Olteanu, Jackie Chi Kit Cheung:
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources in Natural Language Understanding Systems. CoRR abs/2212.08192 (2022) - 2021
- [c38]Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
ADEPT: An Adjective-Dependent Plausibility Task. ACL/IJCNLP (1) 2021: 7117-7128 - [c37]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 - [c36]Ian Porada, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Modeling Event Plausibility with Consistent Conceptual Abstraction. NAACL-HLT 2021: 1732-1743 - [c35]Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He:
An Empirical Study on Neural Keyphrase Generation. NAACL-HLT 2021: 4985-5007 - [i39]Ian Porada, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
Modeling Event Plausibility with Consistent Conceptual Abstraction. CoRR abs/2104.10247 (2021) - 2020
- [c34]Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal, Adam Trischler:
Interactive Machine Comprehension with Information Seeking Agents. ACL 2020: 2325-2338 - [c33]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 - [c32]Ali Emami, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
An Analysis of Dataset Overlap on Winograd-Style Tasks. COLING 2020: 5855-5865 - [c31]Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer:
Exploring and Predicting Transferability across NLP Tasks. EMNLP (1) 2020: 7882-7926 - [c30]Tao Shen
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. EMNLP (1) 2020: 8980-8994 - [c29]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 - [c28]Abhilasha Ravichander, Eduard H. Hovy, Kaheer Suleman, Adam Trischler, Jackie Chi Kit Cheung:
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT. *SEM@COLING 2020: 88-102 - [i38]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) - [i37]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) - [i36]Tao Shen, Yi Mao, Pengcheng He, Guodong Long, Adam Trischler, Weizhu Chen:
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning. CoRR abs/2004.14224 (2020) - [i35]Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer:
Exploring and Predicting Transferability across NLP Tasks. CoRR abs/2005.00770 (2020) - [i34]Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He:
An Empirical Study on Neural Keyphrase Generation. CoRR abs/2009.10229 (2020) - [i33]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) - [i32]Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
An Analysis of Dataset Overlap on Winograd-Style Tasks. CoRR abs/2011.04767 (2020)
2010 – 2019
- 2019
- [c27]Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung:
The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. ACL (1) 2019: 3952-3961 - [c26]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 - [c25]Paul Trichelair, Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG. EMNLP/IJCNLP (1) 2019: 3380-3385 - [c24]Layla El Asri, Adam Trischler:
A Study of State Aliasing in Structured Prediction with RNNs. DeepRLStructPred@ICLR 2019 - [c23]Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, Andrew McCallum:
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension. ICLR (Poster) 2019 - [c22]R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Philip Bachman, Adam Trischler, Yoshua Bengio:
Learning deep representations by mutual information estimation and maximization. ICLR 2019 - [c21]Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon:
An Empirical Study of Example Forgetting during Deep Neural Network Learning. ICLR (Poster) 2019 - [c20]Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler:
Metalearned Neural Memory. NeurIPS 2019: 13310-13321 - [i31]Layla El Asri, Adam Trischler:
A Study of State Aliasing in Structured Prediction with RNNs. CoRR abs/1906.09310 (2019) - [i30]Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler:
Metalearned Neural Memory. CoRR abs/1907.09720 (2019) - [i29]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) - [i28]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) - [i27]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) - [i26]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
- [c19]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 - [c18]Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Knowledge Hunting Framework for Common Sense Reasoning. EMNLP 2018: 1949-1958 - [c17]R. Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho, Yoshua Bengio:
Boundary Seeking GANs. ICLR (Poster) 2018 - [c16]Samira Ebrahimi Kahou, Vincent Michalski, Adam Atkinson, Ákos Kádár, Adam Trischler, Yoshua Bengio:
FigureQA: An Annotated Figure Dataset for Visual Reasoning. ICLR (Workshop) 2018 - [c15]Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio:
Twin Networks: Matching the Future for Sequence Generation. ICLR (Poster) 2018 - [c14]Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal:
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. ICLR (Poster) 2018 - [c13]Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal:
Focused Hierarchical RNNs for Conditional Sequence Processing. ICML 2018: 2559-2568 - [c12]Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Adam Trischler:
Rapid Adaptation with Conditionally Shifted Neurons. ICML 2018: 3661-3670 - [c11]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 - [c10]Ali Emami, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Generalized Knowledge Hunting Framework for the Winograd Schema Challenge. NAACL-HLT (Student Research Workshop) 2018: 25-31 - [c9]Sandeep Subramanian, Sai Rajeswar, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal:
Towards Text Generation with Adversarially Learned Neural Outlines. NeurIPS 2018: 7562-7574 - [i25]Sandeep Subramanian, Adam Trischler, Yoshua Bengio, Christopher J. Pal:
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. CoRR abs/1804.00079 (2018) - [i24]Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal:
Focused Hierarchical RNNs for Conditional Sequence Processing. CoRR abs/1806.04342 (2018) - [i23]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) - [i22]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) - [i21]Tsendsuren Munkhdalai, Adam Trischler:
Metalearning with Hebbian Fast Weights. CoRR abs/1807.05076 (2018) - [i20]R. Devon Hjelm, Alex Fedorov, Samuel Lavoie-Marchildon, Karan Grewal, Adam Trischler, Yoshua Bengio:
Learning deep representations by mutual information estimation and maximization. CoRR abs/1808.06670 (2018) - [i19]Ali Emami, Noelia De La Cruz, Adam Trischler, Kaheer Suleman, Jackie Chi Kit Cheung:
A Knowledge Hunting Framework for Common Sense Reasoning. CoRR abs/1810.01375 (2018) - [i18]Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Daqing He, Adam Trischler:
Generating Diverse Numbers of Diverse Keyphrases. CoRR abs/1810.05241 (2018) - [i17]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) - [i16]Ali Emami, Paul Trichelair, Adam Trischler, Kaheer Suleman, Hannes Schulz, Jackie Chi Kit Cheung:
The Hard-CoRe Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution. CoRR abs/1811.01747 (2018) - [i15]Paul Trichelair, Ali Emami, Jackie Chi Kit Cheung, Adam Trischler, Kaheer Suleman, Fernando Diaz:
On the Evaluation of Common-Sense Reasoning in Natural Language Understanding. CoRR abs/1811.01778 (2018) - [i14]Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon:
An Empirical Study of Example Forgetting during Deep Neural Network Learning. CoRR abs/1812.05159 (2018) - 2017
- [c8]Philip Bachman, Alessandro Sordoni, Adam Trischler:
Learning Algorithms for Active Learning. ICLR (Workshop) 2017 - [c7]Philip Bachman, Alessandro Sordoni, Adam Trischler:
Learning Algorithms for Active Learning. ICML 2017: 301-310 - [c6]Çaglar Gülçehre, Francis Dutil, Adam Trischler, Yoshua Bengio:
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models. NIPS 2017: 5474-5483 - [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 - [c3]Çaglar Gülçehre, Francis Dutil, Adam Trischler, Yoshua Bengio:
Plan, Attend, Generate: Character-Level Neural Machine Translation with Planning. Rep4NLP@ACL 2017: 228-234 - [i13]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) - [i12]Tong Wang, Xingdi Yuan, Adam Trischler:
A Joint Model for Question Answering and Question Generation. CoRR abs/1706.01450 (2017) - [i11]Sandeep Subramanian, Tong Wang, Xingdi Yuan, Adam Trischler:
Neural Models for Key Phrase Detection and Question Generation. CoRR abs/1706.04560 (2017) - [i10]Çaglar Gülçehre, Francis Dutil, Adam Trischler, Yoshua Bengio:
Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder. CoRR abs/1706.05087 (2017) - [i9]Philip Bachman, Alessandro Sordoni, Adam Trischler:
Learning Algorithms for Active Learning. CoRR abs/1708.00088 (2017) - [i8]Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Ákos Kádár, Adam Trischler, Yoshua Bengio:
FigureQA: An Annotated Figure Dataset for Visual Reasoning. CoRR abs/1710.07300 (2017) - [i7]Samira Shabanian, Devansh Arpit, Adam Trischler, Yoshua Bengio:
Variational Bi-LSTMs. CoRR abs/1711.05717 (2017) - [i6]Francis Dutil, Çaglar Gülçehre, Adam Trischler, Yoshua Bengio:
Plan, Attend, Generate: Planning for Sequence-to-Sequence Models. CoRR abs/1711.10462 (2017) - [i5]Tsendsuren Munkhdalai, Xingdi Yuan, Soroush Mehri, Tong Wang, Adam Trischler:
Learning Rapid-Temporal Adaptations. CoRR abs/1712.09926 (2017) - 2016
- [c2]Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Philip Bachman:
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data. ACL (1) 2016 - [c1]Adam Trischler, Zheng Ye, Xingdi Yuan, Philip Bachman, Alessandro Sordoni, Kaheer Suleman:
Natural Language Comprehension with the EpiReader. EMNLP 2016: 128-137 - [i4]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) - [i3]Adam Trischler, Zheng Ye, Xingdi Yuan, Kaheer Suleman:
Natural Language Comprehension with the EpiReader. CoRR abs/1606.02270 (2016) - [i2]Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman:
NewsQA: A Machine Comprehension Dataset. CoRR abs/1611.09830 (2016) - [i1]Philip Bachman, Alessandro Sordoni, Adam Trischler:
Towards Information-Seeking Agents. CoRR abs/1612.02605 (2016)
Coauthor Index
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