Ben Clavié is a member of technical staff at Mixedbread conducting research on information retrieval, having recently been a major contributor to both the Wholembedv3 model and novel listwise reranking approaches. Previously at Answer.AI, he co-led the ModernBERT project that modernized the widely used BERT backbone and helped democratise multi-vector retrieval methods via the RAGatouille library and models such as answer-ai ColBERT. Based in Tokyo and academically affiliated with the National Institute of Informatics, he also co-organises the Late Interaction Workshop series to further grow the community of researchers exploring methods beyond single-vector embeddings.

Hamel Husain is a ML Engineer with over 20 years of experience. He has worked with innovative companies such as Airbnb and GitHub, which included early LLM research used by OpenAI, for code understanding. He has also led and contributed to numerous popular open-source machine-learning tools. Hamel is currently an independent consultant helping companies build AI products.