5 citations · 8 across the 4 of their papers we have counts for
4 papers
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering
Mitchell DeHaven
In this paper we present a multi-adapter retrieval augmented generation system (MARAGS) for Meta's Comprehensive RAG (CRAG) competition for KDD CUP 2024. CRAG is a question answeri…
BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verification
Mitchell DeHaven, Stephen Scott
Automatic fact verification has become an increasingly popular topic in recent years and among datasets the Fact Extraction and VERification (FEVER) dataset is one of the most popu…
Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training
Mitchell DeHaven, Jayadev Billa
Self-supervised Transformer based models, such as wav2vec 2.0 and HuBERT, have produced significant improvements over existing approaches to automatic speech recognition (ASR). Thi…
Machine-Assisted Script Curation
Manuel R. Ciosici, Joseph Cummings, Mitchell DeHaven +5
We describe Machine-Aided Script Curator (MASC), a system for human-machine collaborative script authoring. Scripts produced with MASC include (1) English descriptions of sub-event…