Alessandro Sordoni

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 85

Top Venues

CoRR

NeurIPS

AAAI

ICML

Publications

Silviu Pitis, Ziang Xiao, Nicolas Le Roux, Alessandro Sordoni
Improving Context-Aware Preference Modeling for Language Models. CoRR (2024)
Oleksiy Ostapenko, Zhan Su, Edoardo Maria Ponti, Laurent Charlin, Nicolas Le Roux, Matheus Pereira, Lucas Caccia, Alessandro Sordoni
Towards Modular LLMs by Building and Reusing a Library of LoRAs. CoRR (2024)
Arian Hosseini, Xingdi Yuan, Nikolay Malkin, Aaron C. Courville, Alessandro Sordoni, Rishabh Agarwal
V-STaR: Training Verifiers for Self-Taught Reasoners. CoRR (2024)
Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn
Efficient Adversarial Training in LLMs with Continuous Attacks. CoRR (2024)
Lucas Page-Caccia, Edoardo Maria Ponti, Zhan Su, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni
Multi-Head Adapter Routing for Cross-Task Generalization. NeurIPS (2023)
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)
Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni
Guiding Language Model Reasoning with Planning Tokens. CoRR (2023)
Edoardo Maria Ponti, Alessandro Sordoni, Yoshua Bengio, Siva Reddy
Combining Parameter-efficient Modules for Task-level Generalisation. EACL (2023)
Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni
Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods. Trans. Mach. Learn. Res. 2023 (2023)
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 (2023)
Yikang Shen, Shawn Tan, Alessandro Sordoni, Peng Li, Jie Zhou, Aaron C. Courville
Unsupervised Dependency Graph Network. ACL (1) (2022)
Yuchen Lu, Zhen Liu, Aristide Baratin, Romain Laroche, Aaron C. Courville, Alessandro Sordoni
Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning. CoRR (2022)
Lucas Caccia, Edoardo Maria Ponti, Lucas Liu, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni
Multi-Head Adapter Routing for Data-Efficient Fine-Tuning. CoRR (2022)
Ian Porada, Alessandro Sordoni, Jackie Chi Kit Cheung
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. NAACL-HLT (2022)
Michaela Socolof, Jacob Louis Hoover, Richard Futrell, Alessandro Sordoni, Timothy J. O'Donnell
Measuring Morphological Fusion Using Partial Information Decomposition. COLING (2022)
Benjamin LeBrun, Alessandro Sordoni, Timothy J. O'Donnell
Evaluating Distributional Distortion in Neural Language Modeling. CoRR (2022)
He Bai, Tong Wang, Alessandro Sordoni, Peng Shi
Better Language Model with Hypernym Class Prediction. CoRR (2022)
He Bai, Tong Wang, Alessandro Sordoni, Peng Shi
Better Language Model with Hypernym Class Prediction. ACL (1) (2022)
Benjamin LeBrun, Alessandro Sordoni, Timothy J. O'Donnell
Evaluating Distributional Distortion in Neural Language Modeling. ICLR (2022)
Edoardo Maria Ponti, Alessandro Sordoni, Siva Reddy
Combining Modular Skills in Multitask Learning. CoRR (2022)
Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville
On the Compositional Generalization Gap of In-Context Learning. BlackboxNLP@EMNLP (2022)
Shawn Tan, Chin-Wei Huang, Alessandro Sordoni, Aaron C. Courville
Learning to Dequantise with Truncated Flows. ICLR (2022)
Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville
On the Compositional Generalization Gap of In-Context Learning. CoRR (2022)
Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes
Decomposed Mutual Information Estimation for Contrastive Representation Learning. ICML (2021)
Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata Mukherjee
Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU. CoRR (2021)
Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes
Decomposed Mutual Information Estimation for Contrastive Representation Learning. CoRR (2021)
Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
The Emergence of the Shape Bias Results from Communicative Efficiency. CoNLL (2021)
Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche
The Emergence of the Shape Bias Results from Communicative Efficiency. CoRR (2021)
Jacob Louis Hoover, Wenyu Du, Alessandro Sordoni, Timothy J. O'Donnell
Linguistic Dependencies and Statistical Dependence. EMNLP (1) (2021)
Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville
Understanding by Understanding Not: Modeling Negation in Language Models. CoRR (2021)
Ian Porada, Alessandro Sordoni, Jackie Chi Kit Cheung
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. CoRR (2021)
Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville
Understanding by Understanding Not: Modeling Negation in Language Models. NAACL-HLT (2021)
Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville
Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle. NAACL-HLT (2021)
Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz
GRTr: Generative-Retrieval Transformers for Data-Efficient Dialogue Domain Adaptation. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Yadollah Yaghoobzadeh, Soroush Mehri, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni
Increasing Robustness to Spurious Correlations using Forgettable Examples. EACL (2021)
Jacob Louis Hoover, Alessandro Sordoni, Wenyu Du, Timothy J. O'Donnell
Linguistic dependencies and statistical dependence. CoRR (2021)
Qiuchi Li, Dimitris Gkoumas, Alessandro Sordoni, Jian-Yun Nie, Massimo Melucci
Quantum-inspired Neural Network for Conversational Emotion Recognition. AAAI (2021)
Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata Mukherjee
Self-training with Few-shot Rationalization. EMNLP (1) (2021)
Shawn Tan, Yikang Shen, Alessandro Sordoni, Aaron C. Courville, Timothy J. O'Donnell
Recursive Top-Down Production for Sentence Generation with Latent Trees. EMNLP (Findings) (2020)
Shawn Tan, Yikang Shen, Timothy J. O'Donnell, Alessandro Sordoni, Aaron C. Courville
Recursive Top-Down Production for Sentence Generation with Latent Trees. CoRR (2020)
Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville
Explicitly Modeling Syntax in Language Model improves Generalization. CoRR (2020)
Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation. CoRR (2020)
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 (2020)
Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz
Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer. ICASSP (2020)
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)
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
Report on the First HIPstIR Workshop on the Future of Information Retrieval. SIGIR Forum 53 (2) (2019)
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
Report on the First HIPstIR Workshop on the Future of Information Retrieval. CoRR (2019)
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
Metalearned Neural Memory. NeurIPS (2019)
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)
Yadollah Yaghoobzadeh, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni
Robust Natural Language Inference Models with Example Forgetting. CoRR (2019)
Yikang Shen, Shawn Tan, Seyed Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
Ordered Memory. NeurIPS (2019)
Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. ICLR (2019)
Yikang Shen, Shawn Tan, Seyedarian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
Ordered Memory. CoRR (2019)
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler
Metalearned Neural Memory. CoRR (2019)
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. ACL (1) (2018)
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. CoRR (2018)
Philip Bachman, Riashat Islam, Alessandro Sordoni, Zafarali Ahmed
VFunc: a Deep Generative Model for Functions. CoRR (2018)
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)
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio
Twin Networks: Matching the Future for Sequence Generation. ICLR (Poster) (2018)
Athul Paul Jacob, Zhouhan Lin, Alessandro Sordoni, Yoshua Bengio
Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences. Rep4NLP@ACL (2018)
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 (2018)
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 (2018)
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. ICML (2018)
Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. CoRR (2018)
Sandeep Subramanian, Sai Rajeswar, Alessandro Sordoni, Adam Trischler, Aaron C. Courville, Chris Pal
Towards Text Generation with Adversarially Learned Neural Outlines. NeurIPS (2018)
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 (2018)
Yifan Nie, Alessandro Sordoni, Jian-Yun Nie
Multi-level Abstraction Convolutional Model with Weak Supervision for Information Retrieval. SIGIR (2018)
Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. CoRR (2018)
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
Z-Forcing: Training Stochastic Recurrent Networks. CoRR (2017)
Philip Bachman, Alessandro Sordoni, Adam Trischler
Learning Algorithms for Active Learning. CoRR (2017)
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 (2017)
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Chris Pal, Yoshua Bengio
Twin Networks: Using the Future as a Regularizer. CoRR (2017)
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)
Philip Bachman, Alessandro Sordoni, Adam Trischler
Learning Algorithms for Active Learning. ICML (2017)
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. AAAI (2017)
Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
Z-Forcing: Training Stochastic Recurrent Networks. NIPS (2017)
Philip Bachman, Alessandro Sordoni, Adam Trischler
Learning Algorithms for Active Learning. ICLR (Workshop) (2017)
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
NewsQA: A Machine Comprehension Dataset. Rep4NLP@ACL (2017)
Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman
NewsQA: A Machine Comprehension Dataset. CoRR (2016)
Philip Bachman, Alessandro Sordoni, Adam Trischler
Towards Information-Seeking Agents. CoRR (2016)
Adam Trischler, Zheng Ye, Xingdi Yuan, Philip Bachman, Alessandro Sordoni, Kaheer Suleman
Natural Language Comprehension with the EpiReader. EMNLP (2016)
Alessandro Sordoni, Philip Bachman, Yoshua Bengio
Iterative Alternating Neural Attention for Machine Reading. CoRR (2016)
Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. AAAI (2016)
Xiaojie Liu, Jian-Yun Nie, Alessandro Sordoni
Constraining Word Embeddings by Prior Knowledge - Application to Medical Information Retrieval. AIRS (2016)
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron C. Courville, Yoshua Bengio
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. CoRR (2016)
Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob Grue Simonsen, Jian-Yun Nie
A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion. CoRR (2015)
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. HLT-NAACL (2015)
Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi, Christina Lioma, Jakob Grue Simonsen, Jian-Yun Nie
A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion. CIKM (2015)
Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau
Hierarchical Neural Network Generative Models for Movie Dialogues. CoRR (2015)
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. CoRR (2015)
Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. CoRR (2015)
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. ACL (2) (2015)
Xiaohua Liu, Arbi Bouchoucha, Alessandro Sordoni, Jian-Yun Nie
Compact Aspect Embedding for Diversified Query Expansions. AAAI (2014)
Alessandro Sordoni, Jian-Yun Nie
Looking at Vector Space and Language Models for IR using Density Matrices. CoRR (2014)
Alessandro Sordoni, Yoshua Bengio, Jian-Yun Nie
Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization. AAAI (2014)
Alessandro Sordoni, Wei Yuan, Jian-Yun Nie
Universite de Montreal at TREC 2013: Experiments with Quantum Language Models in the Web Track. TREC (2013)
Alessandro Sordoni, Jing He, Jian-Yun Nie
Modeling latent topic interactions using quantum interference for information retrieval. CIKM (2013)
Alessandro Sordoni, Jian-Yun Nie, Yoshua Bengio
Modeling term dependencies with quantum language models for IR. SIGIR (2013)
Alessandro Sordoni, Jian-Yun Nie
Looking at Vector Space and Language Models for IR Using Density Matrices. QI (2013)
Giorgio Maria Di Nunzio, Alessandro Sordoni
How Well Do We Know Bernoulli? IIR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alessandro Sordoni