Y-Lan Boureau

Affiliations:
  • Facebook AI Research, New York, NY, USA


According to our database1, Y-Lan Boureau authored at least 43 papers between 2007 and 2023.

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Bibliography

2023
The HCI Aspects of Public Deployment of Research Chatbots: A User Study, Design Recommendations, and Open Challenges.
CoRR, 2023

Improving Open Language Models by Learning from Organic Interactions.
CoRR, 2023

Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Reducing Conversational Agents' Overconfidence through Linguistic Calibration.
Trans. Assoc. Comput. Linguistics, 2022

Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls.
CoRR, 2022

BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage.
CoRR, 2022

Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design.
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

SaFeRDialogues: Taking Feedback Gracefully after Conversational Safety Failures.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling.
CoRR, 2021

Bot-Adversarial Dialogue for Safe Conversational Agents.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Recipes for Building an Open-Domain Chatbot.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Detecting Inspiring Content on Social Media.
Proceedings of the 9th International Conference on Affective Computing and Intelligent Interaction, 2021

2020
Linguistic calibration through metacognition: aligning dialogue agent responses with expected correctness.
CoRR, 2020

Recipes for Safety in Open-domain Chatbots.
CoRR, 2020

Controlling Style in Generated Dialogue.
CoRR, 2020

Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions.
CoRR, 2020

Multi-scale Transformer Language Models.
CoRR, 2020

Recipes for building an open-domain chatbot.
CoRR, 2020

Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Overview of the sixth dialog system technology challenge: DSTC6.
Comput. Speech Lang., 2019

All-in-One Image-Grounded Conversational Agents.
CoRR, 2019

Zero-Shot Fine-Grained Style Transfer: Leveraging Distributed Continuous Style Representations to Transfer To Unseen Styles.
CoRR, 2019

Multiple-Attribute Text Rewriting.
Proceedings of the 7th International Conference on Learning Representations, 2019

Revisiting the Evaluation of Theory of Mind through Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

On the Pitfalls of Measuring Emergent Communication.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Multiple-Attribute Text Style Transfer.
CoRR, 2018

I Know the Feeling: Learning to Converse with Empathy.
CoRR, 2018

2017
Learning End-to-End Goal-Oriented Dialog.
Proceedings of the 5th International Conference on Learning Representations, 2017

2012
Learning Hierarchical Feature Extractors For Image Recognition.
PhD thesis, 2012

2011
Ask the locals: Multi-way local pooling for image recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Learning Convolutional Feature Hierarchies for Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

A Theoretical Analysis of Feature Pooling in Visual Recognition.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Learning mid-level features for recognition.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2007
A Unified Energy-Based Framework for Unsupervised Learning.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Sparse Feature Learning for Deep Belief Networks.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007


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