Under ranking distillation, complex hard-negative sampling pipelines yield little or no benefit over BM25 sampling, while intermediate teacher score entropy improves in-domain effectiveness and the paper's generalization bound is not rigorously established.
MS MARCO: A human generated machine reading comprehension dataset
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Disentangling Locality and Entropy in Ranking Distillation
Under ranking distillation, complex hard-negative sampling pipelines yield little or no benefit over BM25 sampling, while intermediate teacher score entropy improves in-domain effectiveness and the paper's generalization bound is not rigorously established.