Search Results for author: Rylan Conway

Found 3 papers, 1 papers with code

CoDi: Conversational Distillation for Grounded Question Answering

no code implementations20 Aug 2024 Patrick Huber, Arash Einolghozati, Rylan Conway, Kanika Narang, Matt Smith, Waqar Nayyar, Adithya Sagar, Ahmed Aly, Akshat Shrivastava

This is a typical on-device scenario for specialist SLMs, allowing for open-domain model responses, without requiring the model to "memorize" world knowledge in its limited weights.

Question Answering World Knowledge

PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs

1 code implementation5 Jun 2024 Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar

Altogether, these results suggest that training on DP synthetic data can be a better option than training a model on-device on private distributed data.

Language Modelling Large Language Model

Time Masking: Leveraging Temporal Information in Spoken Dialogue Systems

no code implementations WS 2019 Rylan Conway, Lambert Mathias

Much of the previous work has relied on modeling the natural order of the conversation, using distance based offsets as an approximation of time.

Ranked #6 on Video Salient Object Detection on SegTrack v2 (using extra training data)

Spoken Dialogue Systems Video Salient Object Detection

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