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Alessandro Sordoni
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2020 – today
- 2024
- [c55]Oleksiy Ostapenko, Zhan Su, Edoardo M. Ponti, Laurent Charlin, Nicolas Le Roux, Lucas Caccia, Alessandro Sordoni:
Towards Modular LLMs by Building and Reusing a Library of LoRAs. ICML 2024 - [i49]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) - [i48]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 abs/2405.11157 (2024) - [i47]Sophie Xhonneux, Alessandro Sordoni, Stephan Günnemann, Gauthier Gidel, Leo Schwinn:
Efficient Adversarial Training in LLMs with Continuous Attacks. CoRR abs/2405.15589 (2024) - [i46]Silviu Pitis, Ziang Xiao, Nicolas Le Roux, Alessandro Sordoni:
Improving Context-Aware Preference Modeling for Language Models. CoRR abs/2407.14916 (2024) - [i45]Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni:
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. CoRR abs/2408.07057 (2024) - [i44]Amirhossein Kazemnejad, Milad Aghajohari, Eva Portelance, Alessandro Sordoni, Siva Reddy, Aaron C. Courville, Nicolas Le Roux:
VinePPO: Unlocking RL Potential For LLM Reasoning Through Refined Credit Assignment. CoRR abs/2410.01679 (2024) - [i43]Arian Hosseini, Alessandro Sordoni, Daniel Toyama, Aaron C. Courville, Rishabh Agarwal:
Not All LLM Reasoners Are Created Equal. CoRR abs/2410.01748 (2024) - 2023
- [j4]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) - [c54]Edoardo Maria Ponti, Alessandro Sordoni, Yoshua Bengio, Siva Reddy:
Combining Parameter-efficient Modules for Task-level Generalisation. EACL 2023: 687-702 - [c53]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 - [c52]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 - [i42]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) - [i41]Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni:
Guiding Language Model Reasoning with Planning Tokens. CoRR abs/2310.05707 (2023) - 2022
- [c51]He Bai
, Tong Wang, Alessandro Sordoni, Peng Shi:
Better Language Model with Hypernym Class Prediction. ACL (1) 2022: 1352-1362 - [c50]Yikang Shen, Shawn Tan, Alessandro Sordoni, Peng Li, Jie Zhou, Aaron C. Courville:
Unsupervised Dependency Graph Network. ACL (1) 2022: 4767-4784 - [c49]Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville:
On the Compositional Generalization Gap of In-Context Learning. BlackboxNLP@EMNLP 2022: 272-280 - [c48]Michaela Socolof, Jacob Louis Hoover
Measuring Morphological Fusion Using Partial Information Decomposition. COLING 2022: 44-54 - [c47]Benjamin LeBrun, Alessandro Sordoni, Timothy J. O'Donnell:
Evaluating Distributional Distortion in Neural Language Modeling. ICLR 2022 - [c46]Shawn Tan, Chin-Wei Huang, Alessandro Sordoni, Aaron C. Courville:
Learning to Dequantise with Truncated Flows. ICLR 2022 - [c45]Ian Porada, Alessandro Sordoni, Jackie Chi Kit Cheung:
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. NAACL-HLT 2022: 4550-4557 - [i40]Edoardo Maria Ponti, Alessandro Sordoni, Siva Reddy:
Combining Modular Skills in Multitask Learning. CoRR abs/2202.13914 (2022) - [i39]He Bai, Tong Wang, Alessandro Sordoni, Peng Shi:
Better Language Model with Hypernym Class Prediction. CoRR abs/2203.10692 (2022) - [i38]Benjamin LeBrun, Alessandro Sordoni, Timothy J. O'Donnell:
Evaluating Distributional Distortion in Neural Language Modeling. CoRR abs/2203.12788 (2022) - [i37]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 abs/2206.01251 (2022) - [i36]Lucas Caccia, Edoardo Maria Ponti, Lucas Liu, Matheus Pereira, Nicolas Le Roux, Alessandro Sordoni:
Multi-Head Adapter Routing for Data-Efficient Fine-Tuning. CoRR abs/2211.03831 (2022) - [i35]Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron C. Courville:
On the Compositional Generalization Gap of In-Context Learning. CoRR abs/2211.08473 (2022) - 2021
- [j3]Igor Shalyminov
GRTr: Generative-Retrieval Transformers for Data-Efficient Dialogue Domain Adaptation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2484-2492 (2021) - [c44]Qiuchi Li, Dimitris Gkoumas, Alessandro Sordoni, Jian-Yun Nie, Massimo Melucci:
Quantum-inspired Neural Network for Conversational Emotion Recognition. AAAI 2021: 13270-13278 - [c43]Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche:
The Emergence of the Shape Bias Results from Communicative Efficiency. CoNLL 2021: 607-623 - [c42]Yadollah Yaghoobzadeh, Soroush Mehri, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni:
Increasing Robustness to Spurious Correlations using Forgettable Examples. EACL 2021: 3319-3332 - [c41]Jacob Louis Hoover
Linguistic Dependencies and Statistical Dependence. EMNLP (1) 2021: 2941-2963 - [c40]Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata Mukherjee:
Self-training with Few-shot Rationalization. EMNLP (1) 2021: 10702-10712 - [c39]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: 9859-9869 - [c38]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: 1301-1312 - [c37]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: 1660-1672 - [i34]Jacob Louis Hoover, Alessandro Sordoni, Wenyu Du, Timothy J. O'Donnell:
Linguistic dependencies and statistical dependence. CoRR abs/2104.08685 (2021) - [i33]Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, R. Devon Hjelm, Alessandro Sordoni, Aaron C. Courville:
Understanding by Understanding Not: Modeling Negation in Language Models. CoRR abs/2105.03519 (2021) - [i32]Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes:
Decomposed Mutual Information Estimation for Contrastive Representation Learning. CoRR abs/2106.13401 (2021) - [i31]Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche:
The Emergence of the Shape Bias Results from Communicative Efficiency. CoRR abs/2109.06232 (2021) - [i30]Meghana Moorthy Bhat, Alessandro Sordoni, Subhabrata Mukherjee:
Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU. CoRR abs/2109.08259 (2021) - [i29]Ian Porada, Alessandro Sordoni, Jackie Chi Kit Cheung:
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge. CoRR abs/2112.08583 (2021) - 2020
- [c36]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: 2291-2307 - [c35]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 - [c34]Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz:
Fast Domain Adaptation for Goal-Oriented Dialogue Using a Hybrid Generative-Retrieval Transformer. ICASSP 2020: 8039-8043 - [i28]Igor Shalyminov, Alessandro Sordoni, Adam Atkinson, Hannes Schulz:
Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation. CoRR abs/2003.01680 (2020) - [i27]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) - [i26]Shawn Tan, Yikang Shen, Timothy J. O'Donnell, Alessandro Sordoni, Aaron C. Courville:
Recursive Top-Down Production for Sentence Generation with Latent Trees. CoRR abs/2010.04704 (2020) - [i25]Yikang Shen, Shawn Tan, Alessandro Sordoni, Siva Reddy, Aaron C. Courville:
Explicitly Modeling Syntax in Language Model improves Generalization. CoRR abs/2011.07960 (2020)
2010 – 2019
- 2019
- [j2]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): 62-75 (2019) - [c33]Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville:
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. ICLR 2019 - [c32]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 - [c31]Yikang Shen, Shawn Tan, Seyed Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville:
Ordered Memory. NeurIPS 2019: 5038-5049 - [c30]Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler:
Metalearned Neural Memory. NeurIPS 2019: 13310-13321 - [i24]Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler:
Metalearned Neural Memory. CoRR abs/1907.09720 (2019) - [i23]Yikang Shen, Shawn Tan, Seyedarian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville:
Ordered Memory. CoRR abs/1910.13466 (2019) - [i22]Yadollah Yaghoobzadeh, Remi Tachet des Combes, Timothy J. Hazen, Alessandro Sordoni:
Robust Natural Language Inference Models with Example Forgetting. CoRR abs/1911.03861 (2019) - [i21]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 abs/1912.09910 (2019) - 2018
- [c29]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: 1171-1180 - [c28]Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Adam Trischler, Chris Pal, Yoshua Bengio:
Twin Networks: Matching the Future for Sequence Generation. ICLR (Poster) 2018 - [c27]Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville:
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. ICML 2018: 195-204 - [c26]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 - [c25]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 - [c24]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: 154-158 - [c23]Yifan Nie, Alessandro Sordoni, Jian-Yun Nie
Multi-level Abstraction Convolutional Model with Weak Supervision for Information Retrieval. SIGIR 2018: 985-988 - [i20]Amjad Almahairi, Sai Rajeswar, Alessandro Sordoni, Philip Bachman, Aaron C. Courville:
Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. CoRR abs/1802.10151 (2018) - [i19]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 abs/1806.04168 (2018) - [i18]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) - [i17]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) - [i16]Philip Bachman, Riashat Islam, Alessandro Sordoni, Zafarali Ahmed:
VFunc: a Deep Generative Model for Functions. CoRR abs/1807.04106 (2018) - [i15]Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron C. Courville:
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks. CoRR abs/1810.09536 (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
- [c22]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: 3295-3301 - [c21]Philip Bachman, Alessandro Sordoni, Adam Trischler:
Learning Algorithms for Active Learning. ICLR (Workshop) 2017 - [c20]Philip Bachman, Alessandro Sordoni, Adam Trischler:
Learning Algorithms for Active Learning. ICML 2017: 301-310 - [c19]Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio:
Z-Forcing: Training Stochastic Recurrent Networks. NIPS 2017: 6713-6723 - [c18]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 - [c17]Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman:
NewsQA: A Machine Comprehension Dataset. Rep4NLP@ACL 2017: 191-200 - [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]Philip Bachman, Alessandro Sordoni, Adam Trischler:
Learning Algorithms for Active Learning. CoRR abs/1708.00088 (2017) - [i11]Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni, Chris Pal, Yoshua Bengio:
Twin Networks: Using the Future as a Regularizer. CoRR abs/1708.06742 (2017) - [i10]Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio:
Z-Forcing: Training Stochastic Recurrent Networks. CoRR abs/1711.05411 (2017) - 2016
- [c16]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: 3776-3784 - [c15]Xiaojie Liu, Jian-Yun Nie
Constraining Word Embeddings by Prior Knowledge - Application to Medical Information Retrieval. AIRS 2016: 155-167 - [c14]Adam Trischler, Zheng Ye, Xingdi Yuan, Philip Bachman, Alessandro Sordoni, Kaheer Suleman:
Natural Language Comprehension with the EpiReader. EMNLP 2016: 128-137 - [i9]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 abs/1605.06069 (2016) - [i8]Alessandro Sordoni, Philip Bachman, Yoshua Bengio:
Iterative Alternating Neural Attention for Machine Reading. CoRR abs/1606.02245 (2016) - [i7]Adam Trischler, Tong Wang, Xingdi Yuan, Justin Harris, Alessandro Sordoni, Philip Bachman, Kaheer Suleman:
NewsQA: A Machine Comprehension Dataset. CoRR abs/1611.09830 (2016) - [i6]Philip Bachman, Alessandro Sordoni, Adam Trischler:
Towards Information-Seeking Agents. CoRR abs/1612.02605 (2016) - 2015
- [c13]Michel Galley, Chris Brockett
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. ACL (2) 2015: 445-450 - [c12]Alessandro Sordoni, Yoshua Bengio, Hossein Vahabi
A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion. CIKM 2015: 553-562 - [c11]Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. HLT-NAACL 2015: 196-205 - [i5]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 abs/1506.06714 (2015) - [i4]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 abs/1506.06863 (2015) - [i3]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 abs/1507.02221 (2015) - [i2]Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, Joelle Pineau:
Hierarchical Neural Network Generative Models for Movie Dialogues. CoRR abs/1507.04808 (2015) - 2014
- [c10]Xiaohua Liu, Arbi Bouchoucha, Alessandro Sordoni, Jian-Yun Nie:
Compact Aspect Embedding for Diversified Query Expansions. AAAI 2014: 115-121 - [c9]Alessandro Sordoni, Yoshua Bengio, Jian-Yun Nie:
Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization. AAAI 2014: 1586-1592 - [i1]Alessandro Sordoni, Jian-Yun Nie:
Looking at Vector Space and Language Models for IR using Density Matrices. CoRR abs/1401.1732 (2014) - 2013
- [c8]Alessandro Sordoni, Jing He, Jian-Yun Nie
Modeling latent topic interactions using quantum interference for information retrieval. CIKM 2013: 1197-1200 - [c7]Alessandro Sordoni, Jian-Yun Nie
Looking at Vector Space and Language Models for IR Using Density Matrices. QI 2013: 147-159 - [c6]Alessandro Sordoni, Jian-Yun Nie
Modeling term dependencies with quantum language models for IR. SIGIR 2013: 653-662 - [c5]Alessandro Sordoni, Wei Yuan, Jian-Yun Nie:
Universite de Montreal at TREC 2013: Experiments with Quantum Language Models in the Web Track. TREC 2013 - 2012
- [c4]Giorgio Maria Di Nunzio, Alessandro Sordoni:
How Well Do We Know Bernoulli? IIR 2012: 38-44 - [c3]Giorgio Maria Di Nunzio
A visual tool for bayesian data analysis: the impact of smoothing on naive bayes text classifiers. SIGIR 2012: 1002 - 2010
- [j1]Alessandro Sordoni, Jean-Pierre Briot
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. 44(4): 269-283 (2010)
2000 – 2009
- 2009
- [c2]Jean-Pierre Briot
Design of a Decision Maker Agent for a Distributed Role Playing Game - Experience of the SimParc Project. AGS 2009: 119-134 - [c1]Eurico Vasconcelos Filho
A Serious Game for Exploring and Training in Participatory Management of National Parks for Biodiversity Conservation: Design and Experience. SBGames 2009: 93-100
Coauthor Index
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