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Found 5 papers, 2 papers with code
Hallucination Reduction in Long Input Text Summarization
We have used the following metrics to measure factual consistency at the entity level: precision-source, and F1-target.
Extractive Summarization of Legal Decisions using Multi-task Learning and Maximal Marginal Relevance
Summarizing legal decisions requires the expertise of law practitioners, which is both time- and cost-intensive.
Learning a generative model for robot control using visual feedback
Our method can handle noise in the observed state and noise in the controllers that we interact with.
EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping
Most of the existing question answering models can be largely compiled into two categories: i) open domain question answering models that answer generic questions and use large-scale knowledge base along with the targeted web-corpus retrieval and ii) closed domain question answering models that address focused questioning area and use complex deep learning models.
Online Convex Matrix Factorization with Representative Regions
We address both problems by proposing the first online convex MF algorithm that maintains a collection of constant-size sets of representative data samples needed for interpreting each of the basis (Ding et al. [2010]) and has the same almost sure convergence guarantees as the online learning algorithm of Mairal et al. [2010].
