CFS – Conditional Field Subtraction
CFS – Conditional Field Subtraction

CFS – Conditional Field Subtraction

CFS - Conditional Field Subtraction

Results on retrieval ranking:

baseline cosine top-K: NDCG@10 0.5123, Recall@10 0.6924
mem0 additive fusion: NDCG@10 0.4903, Recall@10 0.6625
rrf(cosine, BM25): NDCG@10 0.5196, Recall@10 0.6989
rrf(cosine, cos2, BM25): NDCG@10 0.5278, Recall@10 0.7060
rrf(cosine, BM25, CFS): NDCG@10 0.5311, Recall@10 0.7168

Against mem0’s additive fusion, rrf(cosine, BM25, CFS) improves retrieval ranking by +4.08 pp NDCG@10 and +5.43 pp Recall@10. Against rrf(cosine, BM25), adding CFS contributes +1.15 pp NDCG@10 and +1.79 pp Recall@10.

https://gist.github.com/M-Garcia22/ff4ec80f5a08ca2fd9234bcc35804d1c

submitted by /u/mauro8342
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