Eric Michael Smith | DeepAI

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∙ 08/31/2023

The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages

Gender biases in language generation systems are challenging to mitigate...

0 Benjamin Müller, et al. ∙

∙ 07/18/2023

Llama 2: Open Foundation and Fine-Tuned Chat Models

In this work, we develop and release Llama 2, a collection of pretrained...

0 Hugo Touvron, et al. ∙

∙ 06/07/2023

Improving Open Language Models by Learning from Organic Interactions

We present BlenderBot 3x, an update on the conversational model BlenderB...

0 Jing Xu, et al. ∙

∙ 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...

16 Kurt Shuster, et al. ∙

∙ 05/18/2022

"I'm sorry to hear that": finding bias in language models with a holistic descriptor dataset

As language models grow in popularity, their biases across all possible ...

0 Eric Michael Smith, et al. ∙

∙ 01/12/2022

Human Evaluation of Conversations is an Open Problem: comparing the sensitivity of various methods for evaluating dialogue agents

At the heart of improving conversational AI is the open problem of how t...

1 Eric Michael Smith, et al. ∙

∙ 09/07/2021

Hi, my name is Martha: Using names to measure and mitigate bias in generative dialogue models

All AI models are susceptible to learning biases in data that they are t...

0 Eric Michael Smith, et al. ∙

∙ 10/02/2020

Multi-Modal Open-Domain Dialogue

Recent work in open-domain conversational agents has demonstrated that s...

0 Kurt Shuster, et al. ∙

∙ 09/22/2020

Controlling Style in Generated Dialogue

Open-domain conversation models have become good at generating natural-s...

0 Eric Michael Smith, et al. ∙

∙ 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...

19 Stephen Roller, et al. ∙

∙ 04/17/2020

Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills

Being engaging, knowledgeable, and empathetic are all desirable general ...

0 Eric Michael Smith, et al. ∙

∙ 11/10/2019

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

Text style transfer is usually performed using attributes that can take ...

0 Eric Michael Smith, et al. ∙

∙ 11/01/2018

Multiple-Attribute Text Style Transfer

The dominant approach to unsupervised "style transfer" in text is based ...

0 Sandeep Subramanian, et al. ∙

∙ 11/01/2018

I Know the Feeling: Learning to Converse with Empathy

Beyond understanding what is being discussed, human communication requir...

0 Hannah Rashkin, et al. ∙

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