Gaurav Sahu
Visiting Researcher
AI Frontier Research
Gaurav is a Visiting Researcher at ServiceNow Research, where he is exploring the feasibility of large pretrained language models for data augmentation. He is a Ph.D. student in the NLP Lab, University of Waterloo, advised by Prof. Olga Vechtomova. In general, his research interests include generative text modelling and multimodal learning. Apart from research, he is much enthused by language and art. He sketches and paints (his art collection), and is currently learning to speak Japanese and French. He also enjoys writing and making music from time to time.
Intérêts
- Intent Classification
- Low Supervision
- Dialog
Publications
A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches.
North American Chapter of the Association for Computational Linguistics (NAACL),
2025.
InsightBench: Evaluating Business Analytics Agents Through Multi-Step Insight Generation.
International Conference of Learning Representations (ICLR),
2025.
LitLLMs, LLMs for Literature Review: Are We There Yet?.
Transactions on Machine Learning Research (TMLR),
2025.
MixSumm: Topic-based Data Augmentation using LLMs for Low-resource Extractive Text Summarization.
ArXiv,
2024.
LLM aided semi-supervision for efficient Extractive Dialog Summarization.
Conference on Empirical Methods in Natural Language Processing (EMNLP),
2023.
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation.
Conference on Empirical Methods in Natural Language Processing (EMNLP),
2023.
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models.
Montreal AI Symposium (MAIS),
2022.
Data Augmentation for Intent Classification with Off-the-shelf Large Language Models.
Workshop at the Annual Meetings of the Association for Computational Linguistics (ACL),
2022.