Large language models (LLMs) have demonstrated great success in various fields,
benefiting from their huge amount of parameters that store knowledge. However, LLMs still …

Modeling long texts has been an essential technique in the field of natural language
processing (NLP). With the ever-growing number of long documents, it is important to …

This paper proposes Text mAtching based SequenTial rEcommenda-tion model (TASTE),
which maps items and users in an embedding space and recommends items by matching …

In spoken question answering, the systems are designed to answer questions from
contiguous text spans within the related speech transcripts. However, the most natural way …

Security logs are the key to understanding attacks and diagnosing vulnerabilities. Often
coming in the form of text logs, their analysis remains a daunting challenge. Language …

In spoken question answering, QA systems are designed to answer questions from
contiguous text spans within the related speech transcripts. However, the most natural way …

In the legal domain, extracting information from contracts poses significant challenges,
primarily due to the scarcity of annotated data. In such situations, leveraging large language …

Long document question answering is a challenging task due to its demands for complex
reasoning over long text. Previous works usually take long documents as non-structured flat …

Transformer-based pre-trained models, such as BERT, have achieved remarkable results on
machine reading comprehension. However, due to the constraint of encoding length (eg …

We address the task of evidence retrieval for long document question answering, which
involves locating relevant paragraphs within a document to answer a question. We aim to …