Alessandro Sordoni

128 papers A* 25A 4B 2Misc 1Journal 67Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Solve Complex Problems via Dataset Decomposition. CoRR Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Weijia Xu, Alessandro Sordoni
2026	—	`conf`	MedRiskEval: Medical Risk Evaluation Benchmark of Language Models, On the Importance of User Perspectives in Healthcare Settings. EACL (Industry Track) Jean-Philippe Corbeil, Minseon Kim, Maxime Griot, Sheela Agarwal, Alessandro Sordoni, François Beaulieu, Paul Vozila
2026	J	`jnl`	Trade-offs in Ensembling, Merging and Routing Among Parameter-Efficient Experts. CoRR Sanae Lotfi, Lucas Caccia, Alessandro Sordoni, Jordan T. Ash, Miroslav Dudik
2025	—	`conf`	A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment. ACL (1) Jean-Philippe Corbeil, Amin Dada, Jean-Michel Attendu, Asma Ben Abacha, Alessandro Sordoni, Lucas Caccia, François Beaulieu, Thomas Lin, Jens Kleesiek, Paul Vozila
2025	J	`jnl`	A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment. CoRR Jean-Philippe Corbeil, Amin Dada, Jean-Michel Attendu, Asma Ben Abacha, Alessandro Sordoni, Lucas Caccia, François Beaulieu, Thomas Lin, Jens Kleesiek, Paul Vozila
2025	J	`jnl`	A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. Trans. Mach. Learn. Res. Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni
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`	Effect of Document Packing on the Latent Multi-Hop Reasoning Capabilities of Large Language Models. CoRR Gabriele Prato, Shagun Sodhani, Alessandro Sordoni, Sarath Chandar
2025	J	`jnl`	Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts. CoRR Samin Yeasar Arnob, Zhan Su, Minseon Kim, Oleksiy Ostapenko, Riyasat Ohib, Esra'a Saleh, Doina Precup, Lucas Caccia, Alessandro Sordoni
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	J	`jnl`	Medical Red Teaming Protocol of Language Models: On the Importance of User Perspectives in Healthcare Settings. CoRR Jean-Philippe Corbeil, Minseon Kim, Alessandro Sordoni, François Beaulieu, Paul Vozila
2025	J	`jnl`	Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers. CoRR Kusha Sareen, Morgane M. Moss, Alessandro Sordoni, Rishabh Agarwal, Arian Hosseini
2025	J	`jnl`	The Markovian Thinker. CoRR Milad Aghajohari, Kamran Chitsaz, Amirhossein Kazemnejad, Sarath Chandar, Alessandro Sordoni, Aaron C. Courville, Siva Reddy
2025	J	`jnl`	Training Plug-n-Play Knowledge Modules with Deep Context Distillation. CoRR Lucas Caccia, Alan Ansell, Edoardo M. Ponti, Ivan Vulic, Alessandro Sordoni
2025	A*	`conf`	VinePPO: Refining Credit Assignment in RL Training of LLMs. ICML Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron C. Courville, Nicolas Le Roux
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	J	`jnl`	A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. CoRR Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni
2024	A*	`conf`	Efficient Adversarial Training in LLMs with Continuous Attacks. NeurIPS Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn
2024	J	`jnl`	Efficient Adversarial Training in LLMs with Continuous Attacks. CoRR Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn
2024	A*	`conf`	Efficient Reinforcement Learning by Discovering Neural Pathways. NeurIPS Samin Yeasar Arnob, Riyasat Ohib, Sergey M. Plis, Amy Zhang, Alessandro Sordoni, Doina Precup
2024	A*	`conf`	Improving Context-Aware Preference Modeling for Language Models. NeurIPS Silviu Pitis, Ziang Xiao, Nicolas Le Roux, Alessandro Sordoni
2024	J	`jnl`	Improving Context-Aware Preference Modeling for Language Models. CoRR Silviu Pitis, Ziang Xiao, Nicolas Le Roux, Alessandro Sordoni
2024	J	`jnl`	Not All LLM Reasoners Are Created Equal. CoRR Arian Hosseini, Alessandro Sordoni, Daniel Toyama, Aaron C. Courville, Rishabh Agarwal
2024	A*	`conf`	Towards Modular LLMs by Building and Reusing a Library of LoRAs. ICML Oleksiy Ostapenko, Zhan Su, Edoardo M. Ponti, Laurent Charlin, Nicolas Le Roux, Lucas Caccia, Alessandro Sordoni
2024	J	`jnl`	Towards Modular LLMs by Building and Reusing a Library of LoRAs. CoRR Oleksiy Ostapenko, Zhan Su, Edoardo Maria Ponti, Laurent Charlin, Nicolas Le Roux, Matheus Pereira, Lucas Caccia, Alessandro Sordoni
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
2024	J	`jnl`	VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment. CoRR Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron C. Courville, Nicolas Le Roux
2023	A	`conf`	Combining Parameter-efficient Modules for Task-level Generalisation. EACL Edoardo Maria Ponti, Alessandro Sordoni, Yoshua Bengio, Siva Reddy
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	J	`jnl`	Guiding Language Model Reasoning with Planning Tokens. CoRR Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni
2023	A*	`conf`	Joint Prompt Optimization of Stacked LLMs using Variational Inference. NeurIPS Alessandro Sordoni, Eric Yuan, Marc-Alexandre Côté, Matheus Pereira, Adam Trischler, Ziang Xiao, Arian Hosseini, Friederike Niedtner, Nicolas Le Roux
2023	A*	`conf`	Multi-Head Adapter Routing for Cross-Task Generalization. NeurIPS Lucas Page-Caccia, Edoardo Maria Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni
2023	J	`jnl`	Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods. Trans. Mach. Learn. Res. Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni
2022	—	`conf`	Better Language Model with Hypernym Class Prediction. ACL (1) He Bai, Tong Wang, Alessandro Sordoni, Peng Shi
2022	J	`jnl`	Better Language Model with Hypernym Class Prediction. CoRR He Bai, Tong Wang, Alessandro Sordoni, Peng Shi
2022	J	`jnl`	Combining Modular Skills in Multitask Learning. CoRR Edoardo Maria Ponti, Alessandro Sordoni, Siva Reddy
2022	—	`conf`	Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. NAACL-HLT Ian Porada, Alessandro Sordoni, Jackie Chi Kit Cheung
2022	A*	`conf`	Evaluating Distributional Distortion in Neural Language Modeling. ICLR Benjamin LeBrun, Alessandro Sordoni, Timothy J. O'Donnell
2022	J	`jnl`	Evaluating Distributional Distortion in Neural Language Modeling. CoRR Benjamin LeBrun, Alessandro Sordoni, Timothy J. O'Donnell
2022	J	`jnl`	Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning. CoRR Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni
2022	A*	`conf`	Learning to Dequantise with Truncated Flows. ICLR Shawn Tan, Chin-Wei Huang, Alessandro Sordoni, Aaron C. Courville
2022	B	`conf`	Measuring Morphological Fusion Using Partial Information Decomposition. COLING Michaela Socolof, Jacob Louis Hoover, Richard Futrell, Alessandro Sordoni, Timothy J. O'Donnell
2022	J	`jnl`	Multi-Head Adapter Routing for Data-Efficient Fine-Tuning. CoRR Lucas Caccia, Edoardo Maria Ponti, Lucas Liu, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni
2022	—	`conf`	On the Compositional Generalization Gap of In-Context Learning. BlackboxNLP@EMNLP Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville
2022	J	`jnl`	On the Compositional Generalization Gap of In-Context Learning. CoRR Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville
2022	—	`conf`	Unsupervised Dependency Graph Network. ACL (1) Yikang Shen, Shawn Tan, Alessandro Sordoni, Peng Li, Jie Zhou, Aaron C. Courville
2021	A*	`conf`	Decomposed Mutual Information Estimation for Contrastive Representation Learning. ICML Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes
2021	J	`jnl`	Decomposed Mutual Information Estimation for Contrastive Representation Learning. CoRR Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes
2021	J	`jnl`	Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. CoRR Ian Porada, Alessandro Sordoni, Jackie Chi Kit Cheung
2021	—	`conf`	Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle. NAACL-HLT Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville
2021	J	`jnl`	GRTr: Generative-Retrieval Transformers for Data-Efficient Dialogue Domain Adaptation. IEEE ACM Trans. Audio Speech Lang. Process. Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz
2021	A	`conf`	Increasing Robustness to Spurious Correlations using Forgettable Examples. EACL Yadollah Yaghoobzadeh, Soroush Mehri, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni
2021	—	`conf`	Linguistic Dependencies and Statistical Dependence. EMNLP (1) Jacob Louis Hoover, Wenyu Du, Alessandro Sordoni, Timothy J. O'Donnell
2021	J	`jnl`	Linguistic dependencies and statistical dependence. CoRR Jacob Louis Hoover, Alessandro Sordoni, Wenyu Du, Timothy J. O'Donnell
2021	A*	`conf`	Quantum-inspired Neural Network for Conversational Emotion Recognition. AAAI Qiuchi Li, Dimitris Gkoumas, Alessandro Sordoni, Jian-Yun Nie, Massimo Melucci
2021	—	`conf`	Self-training with Few-shot Rationalization. EMNLP (1) Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata Mukherjee
2021	J	`jnl`	Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU. CoRR Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata Mukherjee
2021	B	`conf`	The Emergence of the Shape Bias Results from Communicative Efficiency. CoNLL Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
2021	J	`jnl`	The Emergence of the Shape Bias Results from Communicative Efficiency. CoRR Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
2021	—	`conf`	Understanding by Understanding Not: Modeling Negation in Language Models. NAACL-HLT Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville
2021	J	`jnl`	Understanding by Understanding Not: Modeling Negation in Language Models. CoRR Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville
2020	J	`jnl`	Explicitly Modeling Syntax in Language Model improves Generalization. CoRR Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville
2020	—	`conf`	Exploring and Predicting Transferability across NLP Tasks. EMNLP (1) Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer
2020	J	`jnl`	Exploring and Predicting Transferability across NLP Tasks. CoRR Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer
2020	Misc	`conf`	Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer. ICASSP Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz
2020	J	`jnl`	Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation. CoRR Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz
2020	—	`conf`	Recursive Top-Down Production for Sentence Generation with Latent Trees. EMNLP (Findings) Shawn Tan, Yikang Shen, Alessandro Sordoni, Aaron C. Courville, Timothy J. O'Donnell
2020	J	`jnl`	Recursive Top-Down Production for Sentence Generation with Latent Trees. CoRR Shawn Tan, Yikang Shen, Timothy J. O'Donnell, Alessandro Sordoni, Aaron C. Courville
2019	—	`conf`	An Empirical Study of Example Forgetting during Deep Neural Network Learning. ICLR (Poster) Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
2019	A*	`conf`	Metalearned Neural Memory. NeurIPS Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
2019	J	`jnl`	Metalearned Neural Memory. CoRR Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
2019	A*	`conf`	Ordered Memory. NeurIPS Yikang Shen, Shawn Tan, Seyed Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
2019	J	`jnl`	Ordered Memory. CoRR Yikang Shen, Shawn Tan, Seyedarian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
2019	—	`conf`	Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. ICLR Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville
2019	J	`jnl`	Report on the First HIPstIR Workshop on the Future of Information Retrieval. CoRR Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni
2019	J	`jnl`	Report on the First HIPstIR Workshop on the Future of Information Retrieval. SIGIR Forum Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni
2019	J	`jnl`	Robust Natural Language Inference Models with Example Forgetting. CoRR Yadollah Yaghoobzadeh, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni
2018	J	`jnl`	An Empirical Study of Example Forgetting during Deep Neural Network Learning. CoRR Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
2018	A*	`conf`	Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. ICML Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville
2018	J	`jnl`	Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. CoRR Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville
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	A*	`conf`	Focused Hierarchical RNNs for Conditional Sequence Processing. ICML Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal
2018	J	`jnl`	Focused Hierarchical RNNs for Conditional Sequence Processing. CoRR Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal
2018	—	`conf`	Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences. Rep4NLP@ACL Athul Paul Jacob, Zhouhan Lin, Alessandro Sordoni, Yoshua Bengio
2018	A*	`conf`	Multi-level Abstraction Convolutional Model with Weak Supervision for Information Retrieval. SIGIR Yifan Nie, Alessandro Sordoni, Jian-Yun Nie
2018	J	`jnl`	Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. CoRR Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville
2018	—	`conf`	Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. ACL (1) Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio
2018	J	`jnl`	Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. CoRR Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio
2018	A*	`conf`	Towards Text Generation with Adversarially Learned Neural Outlines. NeurIPS Sandeep Subramanian, Sai Rajeswar, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal
2018	—	`conf`	Twin Networks: Matching the Future for Sequence Generation. ICLR (Poster) Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio
2018	J	`jnl`	VFunc: a Deep Generative Model for Functions. CoRR Philip Bachman, Riashat Islam, Alessandro Sordoni, Zafarali Ahmed
2017	A*	`conf`	A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. AAAI Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
2017	—	`conf`	Learning Algorithms for Active Learning. ICLR (Workshop) Philip Bachman, Alessandro Sordoni, Adam Trischler
2017	A*	`conf`	Learning Algorithms for Active Learning. ICML Philip Bachman, Alessandro Sordoni, Adam Trischler
2017	J	`jnl`	Learning Algorithms for Active Learning. CoRR Philip Bachman, Alessandro Sordoni, 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	—	`conf`	NewsQA: A Machine Comprehension Dataset. Rep4NLP@ACL Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
2017	J	`jnl`	Twin Networks: Using the Future as a Regularizer. CoRR Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Chris Pal, Yoshua Bengio
2017	—	`conf`	Z-Forcing: Training Stochastic Recurrent Networks. NIPS Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
2017	J	`jnl`	Z-Forcing: Training Stochastic Recurrent Networks. CoRR Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
2016	J	`jnl`	A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. CoRR Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
2016	A*	`conf`	Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. AAAI Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau
2016	—	`conf`	Constraining Word Embeddings by Prior Knowledge - Application to Medical Information Retrieval. AIRS Xiaojie Liu, Jian-Yun Nie, Alessandro Sordoni
2016	J	`jnl`	Iterative Alternating Neural Attention for Machine Reading. CoRR Alessandro Sordoni, Philip Bachman, Yoshua Bengio
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`	NewsQA: A Machine Comprehension Dataset. CoRR Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
2016	J	`jnl`	Towards Information-Seeking Agents. CoRR Philip Bachman, Alessandro Sordoni, Adam Trischler
2015	J	`jnl`	A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion. CoRR Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob Grue Simonsen, Jian-Yun Nie
2015	A	`conf`	A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion. CIKM Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob Grue Simonsen, Jian-Yun Nie
2015	—	`conf`	A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. HLT-NAACL Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan
2015	J	`jnl`	A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. CoRR Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan
2015	J	`jnl`	Hierarchical Neural Network Generative Models for Movie Dialogues. CoRR Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau
2015	—	`conf`	deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. ACL (2) Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan
2015	J	`jnl`	deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. CoRR Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan
2014	A*	`conf`	Compact Aspect Embedding for Diversified Query Expansions. AAAI Xiaohua Liu, Arbi Bouchoucha, Alessandro Sordoni, Jian-Yun Nie
2014	A*	`conf`	Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization. AAAI Alessandro Sordoni, Yoshua Bengio, Jian-Yun Nie
2014	J	`jnl`	Looking at Vector Space and Language Models for IR using Density Matrices. CoRR Alessandro Sordoni, Jian-Yun Nie
2013	—	`conf`	Looking at Vector Space and Language Models for IR Using Density Matrices. QI Alessandro Sordoni, Jian-Yun Nie
2013	A	`conf`	Modeling latent topic interactions using quantum interference for information retrieval. CIKM Alessandro Sordoni, Jing He, Jian-Yun Nie
2013	A*	`conf`	Modeling term dependencies with quantum language models for IR. SIGIR Alessandro Sordoni, Jian-Yun Nie, Yoshua Bengio
2013	—	`conf`	Universite de Montreal at TREC 2013: Experiments with Quantum Language Models in the Web Track. TREC Alessandro Sordoni, Wei Yuan, Jian-Yun Nie
2012	A*	`conf`	A visual tool for bayesian data analysis: the impact of smoothing on naive bayes text classifiers. SIGIR Giorgio Maria Di Nunzio, Alessandro Sordoni
2012	—	`conf`	How Well Do We Know Bernoulli? IIR Giorgio Maria Di Nunzio, Alessandro Sordoni
2010	J	`jnl`	Design of a Participatory Decision Making Agent Architecture Based on Argumentation and Influence Function - Application to a Serious Game about Biodiversity Conservation. RAIRO Oper. Res. Alessandro Sordoni, Jean-Pierre Briot, Isabelle Alvarez, Eurico Vasconcelos Filho, Marta de Azevedo Irving, Gustavo Melo
2009	—	`conf`	A Serious Game for Exploring and Training in Participatory Management of National Parks for Biodiversity Conservation: Design and Experience. SBGames Eurico Vasconcelos Filho, Carlos José Pereira de Lucena, Gustavo Melo, Marta de Azevedo Irving, Jean-Pierre Briot, Vinícius Sebba-Patto, Alessandro Sordoni
2009	—	`conf`	Design of a Decision Maker Agent for a Distributed Role Playing Game - Experience of the SimParc Project. AGS Jean-Pierre Briot, Alessandro Sordoni, Eurico Vasconcelos Filho, Marta de Azevedo Irving, Gustavo Melo, Vinícius Sebba-Patto, Isabelle Alvarez