Before revision:  Baleen introduces a per-hop condensed retrievalpipeline to mitigate the size of the search space, a focused late interaction retriever (FliBERT) that can model complex multi-hop queries, and a weak supervision strategy, latent hop ordering, to learn from limited signal about which documents to retrieve for a query .
After revision:  Baleen introduces a per-hop condensed retrievalpipeline to mitigate the size of the search space, a focused late interaction retriever that allows different parts of the same query representation to match disparate relevant passages. Lastly, to infer the hopping dependencies among unordered training passages, we devise latent hop ordering, to learn from limited signal about which documents to retrieve for a query .