Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval (NeurIPS'21)

Last update: Dec 05, 2022

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Deep Learning Baleen

Overview

Baleen

Baleen is a state-of-the-art model for multi-hop reasoning, enabling scalable multi-hop search over massive collections for knowledge-intensive tasks like QA and claim verification.

Figure 1: Baleen's condensed retrieval architecture for multi-hop search.

Installation

The implementation of Baleen lives as part of the parent ColBERT repository (under its new_api branch).

After cloning, make sure you obtain the code for the submodule too:

git submodule update --init --recursive

Please follow the installation instructions from the submodule. Baleen has the same requirements as the parent ColBERT repository.

Usage

We will update this README with instructions and model checkpoints in the next few hours! Check back or "Watch" the github repo for updates.

Owner

Stanford Future Data Systems

We are a CS research group at Stanford building data-intensive systems

GitHub Repository

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