[HTML][HTML] Evidence, my Dear Watson: Abstractive dialogue summarization on learnable relevant utterances
Abstractive dialogue summarization requires distilling and rephrasing key information from
noisy multi-speaker documents. Combining pre-trained language models with input …
noisy multi-speaker documents. Combining pre-trained language models with input …
Fine tuning the large language pegasus model for dialogue summarization
Dialogue summarization, a subset of task-oriented Natural Language Processing (NLP),
faces challenges in providing concise and informative summaries of conversational data …
faces challenges in providing concise and informative summaries of conversational data …
Guiding Large Language Models via External Attention Prompting for Scientific Extreme Summarization
Y Chang, Z Li, X Le - Proceedings of the Fourth Workshop on …, 2024 - aclanthology.org
Scientific extreme summarization, the task of generating concise one-sentence summaries
(TLDRs) for scientific papers, presents significant challenges due to the need for deep …
(TLDRs) for scientific papers, presents significant challenges due to the need for deep …