Research Paper Summary: Hypencoder: Hypernetworks for Information Retrieval

In this video I provide a paper summary for the Hyperencoder paper (https://arxiv.org/abs/2502.05364) in which they use a hypernetwork which takes query token embeddings as input and outputs weights and biases used to construct a "q-net" neural network. This q-net takes as input a single-vector document representation and outputs a relevance score. They also provide an efficient graph-based retrieval algorithm. Fascinating stuff!