Dialogue summarization with mixture of experts based on large language models

Y Tian, F **a, Y Song - Proceedings of the 62nd Annual Meeting of …, 2024 - aclanthology.org
Dialogue summarization is an important task that requires to generate highlights for a
conversation from different aspects (eg, content of various speakers). While several studies …

Large language models meet nlp: A survey

L Qin, Q Chen, X Feng, Y Wu, Y Zhang, Y Li… - arxiv preprint arxiv …, 2024 - arxiv.org
While large language models (LLMs) like ChatGPT have shown impressive capabilities in
Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this …

The Zeno's Paradox ofLow-Resource'Languages

HH Nigatu, AL Tonja, B Rosman, T Solorio… - arxiv preprint arxiv …, 2024 - arxiv.org
The disparity in the languages commonly studied in Natural Language Processing (NLP) is
typically reflected by referring to languages as low vs high-resourced. However, there is …

PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization

JJ Peper, W Qiu, L Wang - arxiv preprint arxiv:2311.09836, 2023 - arxiv.org
We investigate pre-training techniques for abstractive multi-document summarization (MDS),
which is much less studied than summarizing single documents. Though recent work has …

User Review Writing via Interview with Dialogue Systems

Y Tanaka, M Inaba - Proceedings of the 25th Annual Meeting of …, 2024 - aclanthology.org
User reviews on e-commerce and review sites are crucial for making purchase decisions,
although creating detailed reviews is time-consuming and labor-intensive. In this study, we …

SumRec: A Framework for Recommendation using Open-Domain Dialogue

R Asahara, M Takahashi, C Iwahashi… - arxiv preprint arxiv …, 2024 - arxiv.org
Chat dialogues contain considerable useful information about a speaker's interests,
preferences, and experiences. Thus, knowledge from open-domain chat dialogue can be …