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Found 4 papers, 3 papers with code
Weakly Supervised Semantic Parsing with Execution-based Spurious Program Filtering
The problem of spurious programs is a longstanding challenge when training a semantic parser from weak supervision.
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA
We first present CAMBIGNQ, a dataset consisting of 5, 654 ambiguous questions, each with relevant passages, possible answers, and a clarification question.
Neural Sequence-to-grid Module for Learning Symbolic Rules
Logical reasoning tasks over symbols, such as learning arithmetic operations and computer program evaluations, have become challenges to deep learning.
Number Sequence Prediction Problems for Evaluating Computational Powers of Neural Networks
We define the complexity and difficulty of a number sequence prediction task with the structure of the smallest automaton that can generate the sequence.
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