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Found 2 papers, 2 papers with code
Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at Each Single-Hop?
Despite the success of state-of-the-art pre-trained language models (PLMs) on a series of multi-hop reasoning tasks, they still suffer from their limited abilities to transfer learning from simple to complex tasks and vice-versa.
Studying Catastrophic Forgetting in Neural Ranking Models
Several deep neural ranking models have been proposed in the recent IR literature.
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