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Summarization
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 …
Gaurav Sahu
,
Olga Vechtomova
,
Issam H. Laradji
North American Chapter of the Association for Computational Linguistics (NAACL), 2025.
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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 …
Shubham Agarwal
,
Abhay Puri
,
Issam H. Laradji
,
Laurent Charlin
,
Christopher Pal
ArXiv, 2024.
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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 …
Nishant Mishra
,
Gaurav Sahu
,
Iacer Calixto
,
Ameen Abu-Hanna
,
Issam H. Laradji
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 …
Issam H. Laradji
,
Sathwik Tejaswi Madhusudhan
,
Orlando Marquez
,
Pau Rodriguez
,
David Vazquez
Montreal AI Symposium (MAIS), 2022.
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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 …
Sandeep Subramanian
,
Raymond Li
,
Jonathan Pilault
,
Christopher Pal
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
In this work, we investigate the performance of untrained randomly initialized encoders in a general class of sequence to sequence …
Jonathan Pilault
,
Jaehong Park
,
Christopher Pal
Annual Meeting of the Association for Computational Linguistics (ACL), 2019.
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