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11 result(s) for “okapi bm25 site hotshops pp site www 31 com site www ibc washington edu site:arxiv.org” of 41 matched · page 2 · 614 ms
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Did you mean okapi bm25 site hotshops pp site www 31 com site www inc washington edu site:arxiv.org?
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https://arxiv.org/src/2212.07841
-Ø/® .C¡ŸÿÌódN?ÿZÿþ綾Oíw�½÷ ?ù~ÀÃóR",M¿tƒEà-˜ºgWÞ0ãÖæ¾ð؃üî±Ñ�¶õwÎ#å 1E{¼œˆp*"Çrì)g"Ši½âËߌµŒÌÒÔ8Q®ÇcH“”©$ÞgC¬è]R>ìBM…³¨W)v gÿ¡×d÷ay gÛc‡�ôìB+ùXL¢º—A(Ýrá^Hßçaí‚?(ô`~X×Ç^ ×¾¿G¿óhÆ#‘èYH_ÙÒ¯Ö[¤uÓ6h�°üXUx/`®`°³
https://arxiv.org/pdf/2608.04341
) /Title (Continuous Improvement and Parallel Autonomous Exploration: An LLM-Agent Framework for Searching Large Solution Spaces) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2006.02464
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https://arxiv.org/abs/2608.03883
Our systems combine sparse BM25 retrieval, evidence-aware rescoring for self-referential symptom reports, embedding-based reranking, query-prototype expansion, and LLM-based reranking
https://arxiv.org/abs/2104.08663
Our results show BM25 is a robust baseline and re-ranking and late-interaction-based models on average achieve the best zero-shot performances, however, at high computational costs
https://arxiv.org/abs/2608.03860
The pipeline combines sentence-window chunking, BM25, BGE-M3 dense retrieval, reciprocal rank fusion, optional cross-encoder reranking, and grounded answer generation
https://arxiv.org/list/cs.IR/new
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https://arxiv.org/list/cs.AI/new
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https://arxiv.org/pdf/2608.02361
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https://arxiv.org/pdf/2608.02244
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https://arxiv.org/html/2407.05132v1
1 Introduction
1.1 Background and Motivation
1.2 Objectives
2 Literature Review
2.1 Related Works on Karma
2.2 Value proposition of Karma
3 Materials and Methods
3.1 Game Theoretic Formalism
3.1.1 Notation
3.1.2 Karma as a game
3.1.3