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09/13/2023
Statistical Rejection Sampling Improves Preference Optimization
Improving the alignment of language models with human preferences remain...
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05/17/2023
SLiC-HF: Sequence Likelihood Calibration with Human Feedback
Learning from human feedback has been shown to be effective at aligning ...
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12/20/2022
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise
The evaluation of abstractive summarization models typically uses test d...
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09/30/2022
Calibrating Sequence likelihood Improves Conditional Language Generation
Conditional language models are predominantly trained with maximum likel...
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09/30/2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Machine learning algorithms typically assume independent and identically...
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02/18/2021
WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web
Relation extraction is used to populate knowledge bases that are importa...
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06/18/2020
SEAL: Segment-wise Extractive-Abstractive Long-form Text Summarization
Most prior work in the sequence-to-sequence paradigm focused on datasets...
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12/18/2019
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Recent work pre-training Transformers with self-supervised objectives on...
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05/30/2019
Assessing The Factual Accuracy of Generated Text
We propose a model-based metric to estimate the factual accuracy of gene...
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01/30/2018