AINeutralarXiv – CS AI · 7h ago6/10
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Test-Time Training for Zero-Resource Dense Retrieval Reranking
Researchers propose DART, a test-time training method that improves dense retrieval reranking without requiring labeled data. By adapting scoring functions at inference time using pseudo-labels from document rankings, DART achieves 2.1% NDCG improvements across BEIR benchmarks with minimal latency overhead, addressing a key limitation in zero-resource information retrieval systems.