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Departmental Seminar - Multimodal Tabular Transactions | Dr. Natraj Raman

Dates:13 November 2024
Times:14:00 - 15:00
What is it:Seminar
Organiser:Department of Computer Science
How much:Free
Who is it for:University staff
Speaker:Dr Natraj Raman
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  • In group "(CS) Computer Science seminar series"
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Large Language Models (LLMs) have achieved remarkable success in understanding and reasoning over unstructured text data. Does this success suggest that structured formats, like tabular data, should also be converted into text for LLM application? This talk will delve into the advantages of adapting transformer-based models to the unique characteristics of tabular data, with a focus on financial transactions. It will also discuss scalable solutions to the practical challenges encountered in industrial settings for learning and interfacing with transaction data representations.

Price: Free

Speaker

Dr Natraj Raman

Role: Research Director

Organisation: JPMorgan AI Research, London

Biography: Natraj Raman is a research director at JPMorgan AI Research, London. With over 20 years of experience in the financial industry, he has worked as a research scientist at Thomson Reuters and S&P Global. He holds a PhD in Computer Vision, and his research interests include Document AI, Explainable AI and Representation Learning.

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Kilburn_TH 1.3
Kilburn Building
Manchester

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Juanjuan Zhang

oea.cs@manchester.ac.uk

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