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Found 5 papers, 3 papers with code
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Despite using 7B models, Husky matches or even exceeds frontier LMs such as GPT-4 on these tasks, showcasing the efficacy of our holistic approach in addressing complex reasoning problems.
TaskWeb: Selecting Better Source Tasks for Multi-task NLP
TaskShop uses TaskWeb to estimate the benefit of using a source task for learning a new target task, and to choose a subset of helpful training tasks for multi-task training.
Induce, Edit, Retrieve:Language Grounded Multimodal Schema for Instructional Video Retrieval
Schemata are structured representations of complex tasks that can aid artificial intelligence by allowing models to break down complex tasks into intermediate steps.
BiSECT: Learning to Split and Rephrase Sentences with Bitexts
We categorize examples in our corpus, and use these categories in a novel model that allows us to target specific regions of the input sentence to be split and edited.
RAMSES: A full-stack application for detecting seizures and reducing data during continuous EEG monitoring
Objective: Continuous EEG (cEEG) monitoring is associated with lower mortality in critically ill patients, however it is underutilized due to the difficulty of manually interpreting prolonged streams of cEEG data.
