Vinayak S Puranik — accepted AI-conference papers

2024

PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents

Vijit Malik, Akshay Jagatap, Vinayak S Puranik, Anirban Majumder

EMNLP 2024industry

Identifying preferences of customers in their shopping journey is a pivotal aspect in providing product recommendations. The task becomes increasingly challenging when there is a multi-turn conversation between the user and a shopping assistant chatbot. In this paper, we tackle a novel and complex p…

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2023

PROTEGE: Prompt-based Diverse Question Generation from Web Articles

Vinayak S Puranik, Anirban Majumder, Vineet Chaoji

EMNLP 2023long findings

Rich and diverse knowledge bases (KB) are foundational building blocks for online knowledge sharing communities such as StackOverflow and Quora, and applications such as conversational assistants (aka chatbots). A popular format for knowledge bases is question-answer pairs (or FAQs), where questions…

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