Bm25l Length Normalized Document Ranking For Variable Length Documents

via “bm25l length-normalized document ranking for variable-length documents”

Various BM25 algorithms for document ranking

Unique: Implements the BM25L variant with modified length normalization formula that prevents saturation bias, addressing a known limitation of standard BM25 when document lengths vary widely

vs others: Better than BM25Okapi for heterogeneous corpora with extreme length variation, but requires empirical evaluation to confirm improvement on specific datasets