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27 result(s) for “okapi bm25 site terms com pp site does could good com site border com site:arxiv.org” of 57 matched · page 2 · 878 ms

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https://arxiv.org/pdf/2002.02145
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https://arxiv.org/pdf/2407.02395
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[2608.03883] DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM

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

[2104.08663] BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of

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

[2608.03860] SciRet: A Compute-Aware Empirical Study of Retrieval and

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

Information Retrieval

https://arxiv.org/list/cs.IR/recent
IR) Tue, 4 Aug 2026 (showing first 34 of 45 entries ) [17] arXiv:2608

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https://arxiv.org/pdf/2509.02523
5 % 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Flavors of Moonshine: Tiny Specialized ASR Models for Edge DevicesEvan KingAdam SabraManjunath KudlurJames WangPete Wardenhttp://arxiv

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https://arxiv.org/pdf/2512.14692
7 % 1 0 obj > 12 > ] >> /PageMode /UseOutlines /Pages 7 0 R /Type /Catalog >> endobj 2 0 obj > endobj 3 0 obj > stream Native and Compact Structured Latents for 3D GenerationJianfeng XiangXiaoxue ChenSicheng XuRuicheng WangZelong LvYu DengHongyuan ZhuYue DongHao ZhaoNicholas Jing YuanJiaolong Yanghttp://arxiv

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https://arxiv.org/pdf/2508.02758
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https://arxiv.org/pdf/2412.12213
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https://arxiv.org/pdf/2412.20138
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https://arxiv.org/pdf/2104.00446
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https://arxiv.org/pdf/2210.00105
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https://arxiv.org/pdf/2205.11916v1
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https://arxiv.org/pdf/2205.11916v2
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https://arxiv.org/pdf/1811.12628
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https://arxiv.org/pdf/2205.11916v3
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https://arxiv.org/pdf/2205.11916v4
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https://arxiv.org/pdf/2210.03493
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https://arxiv.org/pdf/2006.03994
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https://arxiv.org/pdf/2210.00185
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https://arxiv.org/pdf/2006.01354
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https://arxiv.org/pdf/2407.00215
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https://arxiv.org/pdf/2407.01489
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https://arxiv.org/pdf/2407.02095
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https://arxiv.org/pdf/2506.01844
SmolVLA: A Vision-Language-Action Model for Affordable and Efficient RoboticsMustafa ShukorDana AubakirovaFrancesco CapuanoPepijn KooijmansSteven PalmaAdil ZouitineMichel AractingiCaroline PascalMartino RussiAndres MarafiotiSimon

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https://arxiv.org/pdf/2407.00132
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