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That’s a wrap for #AFME2024!!! 🎉 Thank you to all the authors, attendees, roundtable leads and speakers for the great presentations and insightful discussions!

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The second contributed talk at #AFME2024.

To Eun Kim discussed his paper “Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation”

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It's time for our #NeurIPS2024 Algorithmic Fairness Workshop #AFME2024 🥳!

Join us TODAY for a full day of discussions on fairness metrics & evaluation. Schedule: afciworkshop.org/schedule

⏰ We start at 9 am with the opening remarks, followed by a keynote by on Fairness Measurement by Hoda Heidari

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Preview
Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation Many language models now enhance their responses with retrieval capabilities, leading to the widespread adoption of retrieval-augmented generation (RAG) systems. However, despite retrieval being a cor...

Heading to #NeurIPS2024 to present our ‘Fair RAG’ paper at the #AFME2024 workshop! Let's talk about RAG, Information Retrieval, and Fairness. Honored that our paper was selected as one of the Top 5 Spotlight Papers! 🎉 Let’s connect and chat!
Paper: arxiv.org/abs/2409.11598

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