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AutoIndex: Learning Representation Programs for Retrieval

9 upvotes · 21 JUL 2026 · Sam O'Nuallain, Nithya Rajkumar, Ramya Narayanasamy et al.

This paper introduces AutoIndex, a framework that learns to transform raw documents into representations for retrieval systems, allowing for more flexible and effective indexing. Practitioners may care about AutoIndex because it can improve the quality of search results in complex information retrieval tasks.

continual learningrepresentation learningretrieval systemsprogram synthesisvalidation-guided search