Search Results for author: Debopriyo Banerjee

Found 5 papers, 4 papers with code

MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning

1 code implementation27 Feb 2024 Debrup Das, Debopriyo Banerjee, Somak Aditya, Ashish Kulkarni

While, TALMs have been successfully employed in different question-answering benchmarks, their efficacy on complex mathematical reasoning benchmarks, and the potential complimentary benefits offered by tools for knowledge retrieval and mathematical equation solving, are open research questions.

Language Modelling Large Language Model +4

BOXREC: Recommending a Box of Preferred Outfits in Online Shopping

1 code implementation26 Feb 2024 Debopriyo Banerjee, Krothapalli Sreenivasa Rao, Shamik Sural, Niloy Ganguly

In this paper, we propose a box recommendation framework - BOXREC - which at first, collects user preferences across different item types (namely, top-wear, bottom-wear and foot-wear) including price-range of each type and a maximum shopping budget for a particular shopping session.

Recommendation Systems

MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense Retrieval

1 code implementation23 Feb 2023 Debopriyo Banerjee, Mausam Jain, Ashish Kulkarni

In the domain of question-answering in NLP, the retrieval of Frequently Asked Questions (FAQ) is an important sub-area which is well researched and has been worked upon for many languages.

Question Answering Retrieval

An Application to Generate Style Guided Compatible Outfit

1 code implementation2 May 2022 Debopriyo Banerjee, Harsh Maheshwari, Lucky Dhakad1, Arnab Bhattacharya1, Niloy Ganguly, Muthusamy Chelliah, Suyash Agarwal1

Fashion recommendation has witnessed a phenomenal growth of research, particularly in the domains of shop-the-look, contextaware outfit creation, personalizing outfit creation etc.

Recommendation of Compatible Outfits Conditioned on Style

no code implementations30 Mar 2022 Debopriyo Banerjee, Lucky Dhakad, Harsh Maheshwari, Muthusamy Chelliah, Niloy Ganguly, Arnab Bhattacharya

Recommendation in the fashion domain has seen a recent surge in research in various areas, for example, shop-the-look, context-aware outfit creation, personalizing outfit creation, etc.

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