Search Results for author: Moya Chen

Found 8 papers, 4 papers with code

ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning

1 code implementation15 Dec 2022 Olga Golovneva, Moya Chen, Spencer Poff, Martin Corredor, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz

Large language models show improved downstream task performance when prompted to generate step-by-step reasoning to justify their final answers.

Informativeness Text Generation

BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage

1 code implementation5 Aug 2022 Kurt Shuster, Jing Xu, Mojtaba Komeili, Da Ju, Eric Michael Smith, Stephen Roller, Megan Ung, Moya Chen, Kushal Arora, Joshua Lane, Morteza Behrooz, William Ngan, Spencer Poff, Naman Goyal, Arthur Szlam, Y-Lan Boureau, Melanie Kambadur, Jason Weston

We present BlenderBot 3, a 175B parameter dialogue model capable of open-domain conversation with access to the internet and a long-term memory, and having been trained on a large number of user defined tasks.

Continual Learning

Teaching Models new APIs: Domain-Agnostic Simulators for Task Oriented Dialogue

no code implementations13 Oct 2021 Moya Chen, Paul A. Crook, Stephen Roller

We demonstrate that large language models are able to simulate Task Oriented Dialogues in novel domains, provided only with an API implementation and a list of goals.

Retrieval Augmentation Reduces Hallucination in Conversation

no code implementations Findings (EMNLP) 2021 Kurt Shuster, Spencer Poff, Moya Chen, Douwe Kiela, Jason Weston

Despite showing increasingly human-like conversational abilities, state-of-the-art dialogue models often suffer from factual incorrectness and hallucination of knowledge (Roller et al., 2020).

Hallucination Retrieval

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