Search Results for author:
Found 2 papers, 1 papers with code
TOAST: Transfer Learning via Attention Steering
We introduce Top-Down Attention Steering (TOAST), a novel transfer learning algorithm that keeps the pre-trained backbone frozen, selects task-relevant features in the output, and feeds those features back to the model to steer the attention to the task-specific features.
An Analysis of Fusion Functions for Hybrid Retrieval
In particular, we examine fusion by a convex combination (CC) of lexical and semantic scores, as well as the Reciprocal Rank Fusion (RRF) method, and identify their advantages and potential pitfalls.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
