activity
20162023
most citedBlenderBot 3: a deployed conversational agent that continually learns to responsibly engage

98 citations · 199 across the 10 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 42 cited

Chain-of-Verification Reduces Hallucination in Large Language Models

Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu +4

Generation of plausible yet incorrect factual information, termed hallucination, is an unsolved issue in large language models. We study the ability of language models to deliberat…

cs.AI2023★ 2 cited

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

Morteza Behrooz, William Ngan, Joshua Lane +8

Publicly deploying research chatbots is a nuanced topic involving necessary risk-benefit analyses. While there have recently been frequent discussions on whether it is responsible…

cs.CL2023★ 4 cited

Improving Open Language Models by Learning from Organic Interactions

Jing Xu, Da Ju, Joshua Lane +10

We present BlenderBot 3x, an update on the conversational model BlenderBot 3, which is now trained using organic conversation and feedback data from participating users of the syst…

cs.CL2023★ 9 cited

Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models

Jimmy Wei, Kurt Shuster, Arthur Szlam +3

Current dialogue research primarily studies pairwise (two-party) conversations, and does not address the everyday setting where more than two speakers converse together. In this wo…

cs.CL2023

Infusing Commonsense World Models with Graph Knowledge

Alexander Gurung, Mojtaba Komeili, Arthur Szlam +2

While language models have become more capable of producing compelling language, we find there are still gaps in maintaining consistency, especially when describing events in a dyn…