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Calibrate Before Use: Improving Few-Shot Performance of Language Models
GPT-3 can perform numerous tasks when provided a natural language prompt...
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A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training
We investigate response selection for multi-turn conversation in retriev...
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Customizing Triggers with Concealed Data Poisoning
Adversarial attacks alter NLP model predictions by perturbing test-time ...
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Universal Adversarial Triggers for Attacking and Analyzing NLP
Adversarial examples highlight model vulnerabilities and are useful for ...
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Universal Adversarial Triggers for NLP
Adversarial examples highlight model vulnerabilities and are useful for ...
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Misleading Failures of Partial-input Baselines
Recent work establishes dataset difficulty and removes annotation artifa...
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Quizbowl: The Case for Incremental Question Answering
Quizbowl is a scholastic trivia competition that tests human knowledge a...
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Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation
Current methods to interpret deep learning models by generating saliency...
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What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play
Machine learning is an important tool for decision making, but its ethic...
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Interpreting Neural Networks With Nearest Neighbors
Local model interpretation methods explain individual predictions by ass...
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Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions
Modern natural language processing systems have been touted as approachi...
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Right Answer for the Wrong Reason: Discovery and Mitigation
Exposing the weaknesses of neural models is crucial for improving their ...
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The UMD Neural Machine Translation Systems at WMT17 Bandit Learning Task
We describe the University of Maryland machine translation systems submi...
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Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model
Neural machine translation has shown very promising results lately. Most...
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