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Meet Eric Wang

Eric Wang

Eric is an AI researcher at Macro Hive, specializing in large language models (LLMs). He earned a Bachelor’s degree in Actuarial and Financial Studies from University College Dublin and is currently completing his MSc in Mathematics and Finance at Imperial College London. Eric’s MSc thesis project, conducted in collaboration with Macro Hive, focuses on enhancing LLM embedding models for macroeconomic data.

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Recent Articles

MH/LMAX Report: Millisecond Reactions to Market Shocks – From Order Flow to Cross-Asset Opportunity

Bilal Hafeez, Sam van de Schootbrugge, Eric Wang

(The commentary contained in the above article does not constitute an offer or a solicitation, or a recommendation to implement or liquidate an investment or to carry out any other transaction. It should not be used as a basis for any investment decision or other decision. Any investment decision should be based on appropriate professional […]

  1. AI Reflections: Which LLM Performs Best? Our Benchmark Says Fine-Tuning Wins

    Dalvir Mandara, Eric Wang, Bilal Hafeez

    Not a day goes by without a new LLM model hitting the market, each claiming to outperform the rest on some benchmark leaderboard. But these self-reported scores often deserve scepticism. Much like marking your own homework, these evaluations can be misleading. For starters, many benchmark datasets – or even their answers – might appear in […]

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