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Summarization

A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches
Existing approaches for low-resource text summarization primarily employ large language models (LLMs) like GPT-3 or GPT-4 at inference …
North American Chapter of the Association for Computational Linguistics (NAACL),  2025.
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LitLLM: A Toolkit for Scientific Literature Review
LitLLM: A Toolkit for Scientific Literature Review
Literature reviews are an essential component of scientific research. We explore the zero-shot abilities of recent large language …
ArXiv,  2024.
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LLM aided semi-supervision for efficient Extractive Dialog Summarization
LLM aided semi-supervision for efficient Extractive Dialog Summarization
Generating high-quality summaries for chat dialogs often requires large labeled datasets. We propose a method to efficiently use …
Conference on Empirical Methods in Natural Language Processing (EMNLP),  2023.
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S-LLM: Semi-Supervised Large Language Model for Chat Summarization
As producing high-quality summaries of chat dialogues currently requires large labeled datasets, we propose a method to efficiently …
Montreal AI Symposium (MAIS),  2022.
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On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
We present a method to produce abstractive summaries of long documents that exceed several thousand words via neural abstractive …
Conference on Empirical Methods in Natural Language Processing (EMNLP),  2020.
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On the impressive performance of randomly weighted encoders in summarization tasks
On the impressive performance of randomly weighted encoders in summarization tasks
In this work, we investigate the performance of untrained randomly initialized encoders in a general class of sequence to sequence …
Annual Meeting of the Association for Computational Linguistics (ACL),  2019.
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