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10/14/2021
MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization
Neural abstractive summarization models are susceptible to generating fa...
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10/08/2021
HydraSum – Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models
Existing abstractive summarization models lack explicit control mechanis...
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04/15/2021
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization
Novel neural architectures, training strategies, and the availability of...
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12/31/2020
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging
Influence functions approximate the 'influences' of training data-points...
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12/01/2020
Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models
For protein sequence datasets, unlabeled data has greatly outpaced label...
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10/18/2020
Explaining and Improving Model Behavior with k Nearest Neighbor Representations
Interpretability techniques in NLP have mainly focused on understanding ...
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10/14/2020
Explaining Creative Artifacts
Human creativity is often described as the mental process of combining a...
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10/13/2020
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
To assist human review process, we build a novel ReviewRobot to automati...
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10/06/2020
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start
A standard way to address different NLP problems is by first constructin...
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09/14/2020
GeDi: Generative Discriminator Guided Sequence Generation
Class-conditional language models (CC-LMs) can be used to generate natur...
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07/06/2020
DART: Open-Domain Structured Data Record to Text Generation
We introduce DART, a large dataset for open-domain structured data recor...
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06/26/2020
BERTology Meets Biology: Interpreting Attention in Protein Language Models
Transformer architectures have proven to learn useful representations fo...
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05/03/2020
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Word embeddings derived from human-generated corpora inherit strong gend...
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05/02/2020
ESPRIT: Explaining Solutions to Physical Reasoning Tasks
Neural networks lack the ability to reason about qualitative physics and...
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11/08/2019
ERASER: A Benchmark to Evaluate Rationalized NLP Models
State-of-the-art models in NLP are now predominantly based on deep neura...
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06/06/2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
Deep learning models perform poorly on tasks that require commonsense re...
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05/27/2016
Stacking With Auxiliary Features
Ensembling methods are well known for improving prediction accuracy. How...
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04/16/2016