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05/23/2023
Detecting and Mitigating Hallucinations in Multilingual Summarisation
Hallucinations pose a significant challenge to the reliability of neural...
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02/18/2023
BERT is not The Count: Learning to Match Mathematical Statements with Proofs
We introduce a task consisting in matching a proof to a given mathematic...
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02/06/2023
Erasure of Unaligned Attributes from Neural Representations
We present the Assignment-Maximization Spectral Attribute removaL (AMSAL...
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10/22/2022
Understanding Domain Learning in Language Models Through Subpopulation Analysis
We investigate how different domains are encoded in modern neural networ...
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09/02/2022
Domain Adaptation from Scratch
Natural language processing (NLP) algorithms are rapidly improving but o...
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05/25/2022
Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents by Sampling Summary Views
We argue that disentangling content selection from the budget used to co...
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03/15/2022
Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information
We describe a simple and effective method (Spectral Attribute removaL; S...
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09/01/2021
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect Extraction
The rise of pre-trained language models has yielded substantial progress...
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05/19/2021
Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products
Predicting the answer to a product-related question is an emerging field...
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10/05/2016
