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05/23/2023
Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning?
Software vulnerabilities bear enterprises significant costs. Despite ext...
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12/19/2022
KNIFE: Knowledge Distillation with Free-Text Rationales
Free-text rationales (FTRs) follow how humans communicate by explaining ...
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11/03/2022
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
Neural language models (LMs) have achieved impressive results on various...
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10/30/2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
NLP models are susceptible to learning spurious biases (i.e., bugs) that...
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07/02/2022
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales
Free-text rationales aim to explain neural language model (LM) behavior ...
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05/25/2022
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models
Neural language models' (NLMs') reasoning processes are notoriously hard...
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12/16/2021
UniREx: A Unified Learning Framework for Language Model Rationale Extraction
An extractive rationale explains a language model's (LM's) prediction on...
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05/24/2021
TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text
Stroke order and velocity are helpful features in the fields of signatur...
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04/18/2021
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning
Augmenting pre-trained language models with knowledge graphs (KGs) has a...
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10/24/2020
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
Symbolic knowledge (e.g., entities, relations, and facts in a knowledge ...
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03/04/2018
Egocentric Basketball Motion Planning from a Single First-Person Image
We present a model that uses a single first-person image to generate an ...
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03/14/2017
