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09/10/2023
Mitigating Word Bias in Zero-shot Prompt-based Classifiers
Prompt-based classifiers are an attractive approach for zero-shot classi...
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07/15/2023
Zero-shot NLG evaluation through Pairware Comparisons with LLMs
Evaluating Natural Language Generation (NLG) outputs is crucial but labo...
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07/09/2023
Can Generative Large Language Models Perform ASR Error Correction?
ASR error correction continues to serve as an important part of post-pro...
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06/08/2023
CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models
In this paper, we consider the challenge of summarizing patients' medica...
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03/15/2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Generative Large Language Models (LLMs) such as GPT-3 are capable of gen...
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01/28/2023
MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization
State-of-the-art summarization systems can generate highly fluent summar...
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08/28/2022
Podcast Summary Assessment: A Resource for Evaluating Summary Assessment Methods
Automatic summary assessment is useful for both machine-generated and hu...
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09/08/2021
Sparsity and Sentence Structure in Encoder-Decoder Attention of Summarization Systems
Transformer models have achieved state-of-the-art results in a wide rang...
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05/08/2021
Long-Span Dependencies in Transformer-based Summarization Systems
Transformer-based models have achieved state-of-the-art results in a wid...
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04/02/2021
Attention Forcing for Machine Translation
Auto-regressive sequence-to-sequence models with attention mechanisms ha...
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12/04/2020