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06/07/2023
Improving Open Language Models by Learning from Organic Interactions
We present BlenderBot 3x, an update on the conversational model BlenderB...
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08/05/2022
Learning from data in the mixed adversarial non-adversarial case: Finding the helpers and ignoring the trolls
The promise of interaction between intelligent conversational agents and...
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08/05/2022
BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage
We present BlenderBot 3, a 175B parameter dialogue model capable of open...
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06/08/2021
Staircase Attention for Recurrent Processing of Sequences
Attention mechanisms have become a standard tool for sequence modeling t...
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06/06/2021
The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation
One of the biggest challenges hindering progress in low-resource and mul...
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05/13/2021
Not All Memories are Created Equal: Learning to Forget by Expiring
Attention mechanisms have shown promising results in sequence modeling t...
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10/14/2020
Recipes for Safety in Open-domain Chatbots
Models trained on large unlabeled corpora of human interactions will lea...
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10/02/2020
Multi-Modal Open-Domain Dialogue
Recent work in open-domain conversational agents has demonstrated that s...
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06/22/2020
Open-Domain Conversational Agents: Current Progress, Open Problems, and Future Directions
We present our view of what is necessary to build an engaging open-domai...
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04/28/2020
Recipes for building an open-domain chatbot
Building open-domain chatbots is a challenging area for machine learning...
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12/28/2019
All-in-One Image-Grounded Conversational Agents
As single-task accuracy on individual language and image tasks has impro...
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11/09/2019
The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents
We introduce dodecaDialogue: a set of 12 tasks that measures if a conver...
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11/21/2018