Design of a Decision Maker Agent for a Distributed Role Playing Game - Experience of the SimParc Project. - Jean-Pierre Briot; Alessandro Sordoni; Eurico Vasconcelos Filho; Marta de Azevedo Irving; Gustavo Melo; Vinícius Sebba-Patto; Isabelle Alvarez (AGS, 2009)

A Serious Game for Exploring and Training in Participatory Management of National Parks for Biodiversity Conservation: Design and Experience. - Eurico Vasconcelos Filho; Carlos José Pereira de Lucena; Gustavo Melo; Marta de Azevedo Irving; Jean-Pierre Briot; Vinícius Sebba-Patto; Alessandro Sordoni (SBGames, 2009)

Design of a Participatory Decision Making Agent Architecture Based on Argumentation and Influence Function - Application to a Serious Game about Biodiversity Conservation. - Alessandro Sordoni; Jean-Pierre Briot; Isabelle Alvarez; Eurico Vasconcelos Filho; Marta de Azevedo Irving; Gustavo Melo (RAIRO Oper. Res., 2010)

How Well Do We Know Bernoulli? - Giorgio Maria Di Nunzio; Alessandro Sordoni (IIR, 2012)

A visual tool for bayesian data analysis: the impact of smoothing on naive bayes text classifiers. - Giorgio Maria Di Nunzio; Alessandro Sordoni (SIGIR, 2012)

Modeling latent topic interactions using quantum interference for information retrieval. - Alessandro Sordoni; Jing He 010; Jian-Yun Nie (CIKM, 2013)

Looking at Vector Space and Language Models for IR Using Density Matrices. - Alessandro Sordoni; Jian-Yun Nie (QI, 2013)

Modeling term dependencies with quantum language models for IR. - Alessandro Sordoni; Jian-Yun Nie; Yoshua Bengio (SIGIR, 2013)

Universite de Montreal at TREC 2013: Experiments with Quantum Language Models in the Web Track. - Alessandro Sordoni; Wei Yuan; Jian-Yun Nie (TREC, 2013)

Compact Aspect Embedding for Diversified Query Expansions. - Xiaohua Liu; Arbi Bouchoucha; Alessandro Sordoni; Jian-Yun Nie (AAAI, 2014)

Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization. - Alessandro Sordoni; Yoshua Bengio; Jian-Yun Nie (AAAI, 2014)

deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. - Michel Galley; Chris Brockett; Alessandro Sordoni; Yangfeng Ji; Michael Auli; Chris Quirk; Margaret Mitchell; Jianfeng Gao 001; Bill Dolan (ACL (2), 2015)

A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion. - Alessandro Sordoni; Yoshua Bengio; Hossein Vahabi; Christina Lioma; Jakob Grue Simonsen; Jian-Yun Nie (CIKM, 2015)

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. - Alessandro Sordoni; Michel Galley; Michael Auli; Chris Brockett; Yangfeng Ji; Margaret Mitchell; Jian-Yun Nie; Jianfeng Gao 001; Bill Dolan (HLT-NAACL, 2015)

Hierarchical Neural Network Generative Models for Movie Dialogues. - Iulian Vlad Serban; Alessandro Sordoni; Yoshua Bengio; Aaron C. Courville; Joelle Pineau (CoRR, 2015)

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. - Iulian Vlad Serban; Alessandro Sordoni; Yoshua Bengio; Aaron C. Courville; Joelle Pineau (AAAI, 2016)

Constraining Word Embeddings by Prior Knowledge - Application to Medical Information Retrieval. - Xiaojie Liu; Jian-Yun Nie; Alessandro Sordoni (AIRS, 2016)

Natural Language Comprehension with the EpiReader. - Adam Trischler; Zheng Ye; Xingdi Yuan; Philip Bachman; Alessandro Sordoni; Kaheer Suleman (EMNLP, 2016)

Towards Information-Seeking Agents. - Philip Bachman; Alessandro Sordoni; Adam Trischler (CoRR, 2016)

Iterative Alternating Neural Attention for Machine Reading. - Alessandro Sordoni; Philip Bachman; Yoshua Bengio (CoRR, 2016)

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. - Iulian Vlad Serban; Alessandro Sordoni; Ryan Lowe; Laurent Charlin; Joelle Pineau; Aaron C. Courville; Yoshua Bengio (AAAI, 2017)

Learning Algorithms for Active Learning. - Philip Bachman; Alessandro Sordoni; Adam Trischler (ICML, 2017)

Z-Forcing: Training Stochastic Recurrent Networks. - Anirudh Goyal; Alessandro Sordoni; Marc-Alexandre Côté; Nan Rosemary Ke; Yoshua Bengio (NIPS, 2017)

NewsQA: A Machine Comprehension Dataset. - Adam Trischler; Tong Wang 012; Xingdi Yuan; Justin Harris; Alessandro Sordoni; Philip Bachman; Kaheer Suleman (Rep4NLP@ACL, 2017)

Machine Comprehension by Text-to-Text Neural Question Generation. - Xingdi Yuan; Tong Wang 012; Çaglar Gülçehre; Alessandro Sordoni; Philip Bachman; Saizheng Zhang; Sandeep Subramanian; Adam Trischler (Rep4NLP@ACL, 2017)

Twin Networks: Using the Future as a Regularizer. - Dmitriy Serdyuk; Nan Rosemary Ke; Alessandro Sordoni; Chris Pal; Yoshua Bengio (CoRR, 2017)

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. - Yikang Shen; Zhouhan Lin; Athul Paul Jacob; Alessandro Sordoni; Aaron C. Courville; Yoshua Bengio (ACL (1), 2018)

Twin Networks: Matching the Future for Sequence Generation. - Dmitriy Serdyuk; Nan Rosemary Ke; Alessandro Sordoni; Adam Trischler; Chris Pal; Yoshua Bengio (ICLR (Poster), 2018)

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. - Amjad Almahairi; Sai Rajeswar; Alessandro Sordoni; Philip Bachman; Aaron C. Courville (ICML, 2018)

Focused Hierarchical RNNs for Conditional Sequence Processing. - Nan Rosemary Ke; Konrad Zolna; Alessandro Sordoni; Zhouhan Lin; Adam Trischler; Yoshua Bengio; Joelle Pineau; Laurent Charlin; Christopher J. Pal (ICML, 2018)

Towards Text Generation with Adversarially Learned Neural Outlines. - Sandeep Subramanian; Sai Rajeswar; Alessandro Sordoni; Adam Trischler; Aaron C. Courville; Chris Pal (NeurIPS, 2018)

Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences. - Athul Paul Jacob; Zhouhan Lin; Alessandro Sordoni; Yoshua Bengio (Rep4NLP@ACL, 2018)

Multi-level Abstraction Convolutional Model with Weak Supervision for Information Retrieval. - Yifan Nie; Alessandro Sordoni; Jian-Yun Nie (SIGIR, 2018)

Counting to Explore and Generalize in Text-based Games. - Xingdi Yuan; Marc-Alexandre Côté; Alessandro Sordoni; Romain Laroche; Remi Tachet des Combes; Matthew J. Hausknecht; Adam Trischler (CoRR, 2018)

VFunc: a Deep Generative Model for Functions. - Philip Bachman; Riashat Islam; Alessandro Sordoni; Zafarali Ahmed (CoRR, 2018)

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. - Yikang Shen; Shawn Tan; Alessandro Sordoni; Aaron C. Courville (ICLR, 2019)

An Empirical Study of Example Forgetting during Deep Neural Network Learning. - Mariya Toneva; Alessandro Sordoni; Remi Tachet des Combes; Adam Trischler; Yoshua Bengio; Geoffrey J. Gordon (ICLR (Poster), 2019)

Metalearned Neural Memory. - Tsendsuren Munkhdalai; Alessandro Sordoni; Tong Wang 012; Adam Trischler (NeurIPS, 2019)

Ordered Memory. - Yikang Shen; Shawn Tan; Seyed Arian Hosseini; Zhouhan Lin; Alessandro Sordoni; Aaron C. Courville (NeurIPS, 2019)

Robust Natural Language Inference Models with Example Forgetting. - Yadollah Yaghoobzadeh; Remi Tachet des Combes; Timothy J. Hazen; Alessandro Sordoni (CoRR, 2019)

Report on the First HIPstIR Workshop on the Future of Information Retrieval. - Laura Dietz; Bhaskar Mitra 001; Jeremy Pickens; Hana Anber; Sandeep Avula; Asia Biega; Adrian Boteanu; Shubham Chatterjee; Jeff Dalton 001; Shiri Dori-Hacohen; John Foley; Henry Feild; et al. (SIGIR Forum, 2019)

Recursive Top-Down Production for Sentence Generation with Latent Trees. - Shawn Tan; Yikang Shen; Alessandro Sordoni; Aaron C. Courville; Timothy J. O'Donnell (EMNLP (Findings), 2020)

Exploring and Predicting Transferability across NLP Tasks. - Tu Vu; Tong Wang 012; Tsendsuren Munkhdalai; Alessandro Sordoni; Adam Trischler; Andrew Mattarella-Micke; Subhransu Maji; Mohit Iyyer (EMNLP (1), 2020)

Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer. - Igor Shalyminov; Alessandro Sordoni; Adam Atkinson; Hannes Schulz (ICASSP, 2020)

Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation. - Igor Shalyminov; Alessandro Sordoni; Adam Atkinson; Hannes Schulz (CoRR, 2020)

Explicitly Modeling Syntax in Language Model improves Generalization. - Yikang Shen; Shawn Tan; Alessandro Sordoni; Siva Reddy; Aaron C. Courville (CoRR, 2020)

Quantum-inspired Neural Network for Conversational Emotion Recognition. - Qiuchi Li; Dimitris Gkoumas; Alessandro Sordoni; Jian-Yun Nie; Massimo Melucci (AAAI, 2021)

The Emergence of the Shape Bias Results from Communicative Efficiency. - Eva Portelance; Michael C. Frank; Dan Jurafsky; Alessandro Sordoni; Romain Laroche (CoNLL, 2021)

Increasing Robustness to Spurious Correlations using Forgettable Examples. - Yadollah Yaghoobzadeh; Soroush Mehri; Remi Tachet des Combes; Timothy J. Hazen; Alessandro Sordoni (EACL, 2021)

Self-training with Few-shot Rationalization. - Meghana Moorthy Bhat; Alessandro Sordoni; Subhabrata Mukherjee (EMNLP (1), 2021)

Linguistic Dependencies and Statistical Dependence. - Jacob Louis Hoover; Wenyu Du; Alessandro Sordoni; Timothy J. O'Donnell (EMNLP (1), 2021)

Decomposed Mutual Information Estimation for Contrastive Representation Learning. - Alessandro Sordoni; Nouha Dziri; Hannes Schulz; Geoffrey J. Gordon; Philip Bachman; Remi Tachet des Combes (ICML, 2021)

Understanding by Understanding Not: Modeling Negation in Language Models. - Arian Hosseini; Siva Reddy; Dzmitry Bahdanau; R. Devon Hjelm; Alessandro Sordoni; Aaron C. Courville (NAACL-HLT, 2021)

Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle. - Yikang Shen; Shawn Tan; Alessandro Sordoni; Siva Reddy; Aaron C. Courville (NAACL-HLT, 2021)

Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU. - Meghana Moorthy Bhat; Alessandro Sordoni; Subhabrata Mukherjee (CoRR, 2021)

GRTr: Generative-Retrieval Transformers for Data-Efficient Dialogue Domain Adaptation. - Igor Shalyminov; Alessandro Sordoni; Adam Atkinson; Hannes Schulz (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Better Language Model with Hypernym Class Prediction. - He Bai 002; Tong Wang 012; Alessandro Sordoni; Peng Shi 010 (ACL (1), 2022)

Unsupervised Dependency Graph Network. - Yikang Shen; Shawn Tan; Alessandro Sordoni; Peng Li; Jie Zhou; Aaron C. Courville (ACL (1), 2022)

On the Compositional Generalization Gap of In-Context Learning. - Arian Hosseini; Ankit Vani; Dzmitry Bahdanau; Alessandro Sordoni; Aaron C. Courville (BlackboxNLP@EMNLP, 2022)

Measuring Morphological Fusion Using Partial Information Decomposition. - Michaela Socolof; Jacob Louis Hoover; Richard Futrell; Alessandro Sordoni; Timothy J. O'Donnell (COLING, 2022)

Evaluating Distributional Distortion in Neural Language Modeling. - Benjamin LeBrun; Alessandro Sordoni; Timothy J. O'Donnell (ICLR, 2022)

Learning to Dequantise with Truncated Flows. - Shawn Tan; Chin-Wei Huang; Alessandro Sordoni; Aaron C. Courville (ICLR, 2022)

Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. - Ian Porada; Alessandro Sordoni; Jackie Chi Kit Cheung (NAACL-HLT, 2022)

Combining Modular Skills in Multitask Learning. - Edoardo Maria Ponti; Alessandro Sordoni; Siva Reddy (CoRR, 2022)

Expressiveness and Learnability: A Unifying View for Evaluating Self-Supervised Learning. - Yuchen Lu; Zhen Liu 019; Aristide Baratin; Romain Laroche; Aaron C. Courville; Alessandro Sordoni (CoRR, 2022)

Multi-Head Adapter Routing for Data-Efficient Fine-Tuning. - Lucas Caccia; Edoardo Maria Ponti; Lucas Liu; Matheus Pereira; Nicolas Le Roux; Alessandro Sordoni (CoRR, 2022)

Combining Parameter-efficient Modules for Task-level Generalisation. - Edoardo Maria Ponti; Alessandro Sordoni; Yoshua Bengio; Siva Reddy (EACL, 2023)

Multi-Head Adapter Routing for Cross-Task Generalization. - Lucas Page-Caccia; Edoardo Maria Ponti; Zhan Su 002; Matheus Pereira; Nicolas Le Roux; Alessandro Sordoni (NeurIPS, 2023)

Joint Prompt Optimization of Stacked LLMs using Variational Inference. - Alessandro Sordoni; Eric Yuan; Marc-Alexandre Côté; Matheus Pereira; Adam Trischler; Ziang Xiao; Arian Hosseini; Friederike Niedtner; Nicolas Le Roux (NeurIPS, 2023)

Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference. - Alessandro Sordoni; Xingdi Yuan; Marc-Alexandre Côté; Matheus Pereira; Adam Trischler; Ziang Xiao; Arian Hosseini; Friederike Niedtner; Nicolas Le Roux (CoRR, 2023)

Guiding Language Model Reasoning with Planning Tokens. - Xinyi Wang 003; Lucas Caccia; Oleksiy Ostapenko; Xingdi Yuan; Alessandro Sordoni (CoRR, 2023)

Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods. - Yuchen Lu; Zhen Liu 019; Aristide Baratin; Romain Laroche; Aaron C. Courville; Alessandro Sordoni (Trans. Mach. Learn. Res., 2023)

Towards Modular LLMs by Building and Reusing a Library of LoRAs. - Oleksiy Ostapenko; Zhan Su 002; Edoardo M. Ponti; Laurent Charlin; Nicolas Le Roux; Lucas Caccia; Alessandro Sordoni (ICML, 2024)

Efficient Reinforcement Learning by Discovering Neural Pathways. - Samin Yeasar Arnob; Riyasat Ohib; Sergey M. Plis; Amy Zhang 001; Alessandro Sordoni; Doina Precup (NeurIPS, 2024)

Improving Context-Aware Preference Modeling for Language Models. - Silviu Pitis; Ziang Xiao; Nicolas Le Roux; Alessandro Sordoni (NeurIPS, 2024)

Efficient Adversarial Training in LLMs with Continuous Attacks. - Sophie Xhonneux; Alessandro Sordoni; Stephan Günnemann; Gauthier Gidel; Leo Schwinn (NeurIPS, 2024)

V-STaR: Training Verifiers for Self-Taught Reasoners. - Arian Hosseini; Xingdi Yuan; Nikolay Malkin; Aaron C. Courville; Alessandro Sordoni; Rishabh Agarwal (CoRR, 2024)

Towards Modular LLMs by Building and Reusing a Library of LoRAs. - Oleksiy Ostapenko; Zhan Su 002; Edoardo Maria Ponti; Laurent Charlin; Nicolas Le Roux; Matheus Pereira; Lucas Caccia; Alessandro Sordoni (CoRR, 2024)

VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment. - Amirhossein Kazemnejad; Milad Aghajohari; Eva Portelance; Alessandro Sordoni; Siva Reddy; Aaron C. Courville; Nicolas Le Roux (CoRR, 2024)

Not All LLM Reasoners Are Created Equal. - Arian Hosseini; Alessandro Sordoni; Daniel Toyama; Aaron C. Courville; Rishabh Agarwal (CoRR, 2024)

A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment. - Jean-Philippe Corbeil; Amin Dada; Jean-Michel Attendu; Asma Ben Abacha; Alessandro Sordoni; Lucas Caccia; François Beaulieu; Thomas Lin; Jens Kleesiek; Paul Vozila (ACL (1), 2025)

A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. - Prateek Yadav; Colin Raffel; Mohammed Muqeeth; Lucas Caccia; Haokun Liu; Tianlong Chen 001; Mohit Bansal; Leshem Choshen; Alessandro Sordoni (Trans. Mach. Learn. Res., 2025)

Training Plug-n-Play Knowledge Modules with Deep Context Distillation. - Lucas Caccia; Alan Ansell; Edoardo M. Ponti; Ivan Vulic; Alessandro Sordoni (CoRR, 2025)

debug-gym: A Text-Based Environment for Interactive Debugging. - 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 (CoRR, 2025)

Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers. - Kusha Sareen; Morgane M. Moss; Alessandro Sordoni; Rishabh Agarwal; Arian Hosseini (CoRR, 2025)

Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts. - Samin Yeasar Arnob; Zhan Su 002; Minseon Kim; Oleksiy Ostapenko; Riyasat Ohib; Esra'a Saleh; Doina Precup; Lucas Caccia; Alessandro Sordoni (CoRR, 2025)

Medical Red Teaming Protocol of Language Models: On the Importance of User Perspectives in Healthcare Settings. - Jean-Philippe Corbeil; Minseon Kim; Alessandro Sordoni; François Beaulieu; Paul Vozila (CoRR, 2025)