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18 result(s) for “okapi bm25 site terms com pp site github com site lemmy would site w3c github io site:arxiv.org” of 48 matched · page 2 · 1547 ms
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https://arxiv.org/src/2608.03882
I[[·ÙZ–#‚3ý5==ý5H¿ÿîåñÉÙËà“ÎÒ¯~ŸOŸo¾9ào|Úßýý½§_í>ÝÛ?8ØíïìÕßÝ}Š/Ñÿ�äi|JmÂBˆ¯Š,3ŸƒûÒü?èg¶!„èè¬,"©;âP\Ñ >3÷MÓ¥G’&;&Ëy+“N×›ªD¦áÄBLB•FÞwÀœ¾?v-›\F¿ÜÊB«,%à]; èDÝJ¦³×ß{j™tò"ƒl,\%T'Ê&9¸ ›ÇÃ$¬XÎ7æo¥þ}~ ƒBÞÒŽýn�ÿoûOÿyþÿŸÍMqá¨
https://arxiv.org/src/2608.04008
4H�"%`H �$œœÌ‰÷S¾Ï¼ž™g^óÌoæ5¯™ðGrrÊÞkïµÞëý^{GÇí¬ý}Ë+ŽÑÂB�ÿ5/GäµzåÊ_ïÈëÿúÝq%rÎi•³ËJ§U«Ö8¯�œVvlÿõçóЦEFÚØ ‘aaQÿ÷®û?:ÿÿ¥¯„)666¿Ñ¢#ƒŽÐ~³qµÙoøy%üëÝp:š|Äpò·¨°ðGbŽœømÙÿ8ýgȉ#¡�'ÿ¹âd`H芨#q¿ý낤eÿwyäÿàq‡Býçq†÷ƒËþéuø‘
https://arxiv.org/pdf/2608.02666
'±üd$ ëÿìWõUóÒäˆ)‚]ŠÍîêêºWu“ÿˆ¾‰þÝ}ñ£‹~ø1JõïÇД&YÁ{þS¥.i³è‡¿E¿xŽŽi’¦y=ÿUµöÂ%¯]REY»yþ[t÷üœE.zþKô]ÿäê::º(Þòò�—.Yïy9Œ_bÞ¾\_odäGvºaë-KF�üŽ�){:^>^oÊu¦ _^GmýÏŸ£o£¿oÞ¤SÐ9èTQ©NáR»2)Û¢Œ\[™NUçtÊE¤:µód¾€Šý¼MÕ&UYb½-Ä@uÙæ�%
https://arxiv.org/src/2006.02155
í³Pvw¢+gDõ:nÕ «r`Ì& o›ˆÍ�ÑY“ — ÂR¤qê³/È“ôá ´$´AÉ;H܇-r= w`,fDŒ(î5x®²BŒh½ðO€È@=ebr²{Ê¥ñ5‘2C:‘‹„ P0Y,jhÔ8J*ƒlI1xHŠƒ‰Ëñå tê„Äciý…iÜpññ[ioŸÍcâI£“¿¨Ç;Û‡²j‹öñ¨nuM¡J]Bfm¦G_± ï›ç;5ò„ûZ]ÌM¿äsžÊ BU/ì˜ëü uõ~e(àk(=£)²ÊÒSiÀ$®[/2´±›i|E¨šÊaQ;=ÚW¥Fõ˜Âu d®hK]ñÅÕmŽFm*ãѸŒƒ¦ZÈO¯"ýAT�¤áµó
https://arxiv.org/src/2006.02924
¶«ˆ `Ä‚ ATT,ðŸ÷=eÎÌn÷ûþ{¿çûÿ/Ï£$»3§¼ç=o/ZÀΈêSëü2ÉO—.9ø/ùqüÛ5³SV×:Y�ºté’Õ™üGžËÊÊîœYGÍüw.ŠÿĄ̈QÕ:‘p8ZÛs§úþéOQ@óè�jS÷æjâÊX]ˆè¦ŠªÑ2]5Bј5Â!SõèeFȇŸi>ÍŒUx%bDË‚nµ²Ì誦5ò ùŸáÕj4¢kÑ ŒUIžR½áÐ=â×C^˜$.U “Ì€Cö¨ÐC>cj†ª(ýÉt†O�¨Ñʰ
https://arxiv.org/list/cs.CL/new
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends
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/recent
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https://arxiv.org/src/2212.07841
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https://arxiv.org/list/cs.LO/new
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The Shapes Constraint Language (SHACL) is a W3C recommendation to express syntactic constraints, called shapes, on RDF graphs
https://arxiv.org/pdf/2212.07841
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https://arxiv.org/pdf/2608.02618
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https://arxiv.org/pdf/2608.00328
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https://arxiv.org/src/2608.04009
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https://arxiv.org/pdf/2507.17609
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