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

https://arxiv.org/abs/2104.08663
Benchmark for Zero-shot Evaluation of Information Retrieval Models, by Nandan Thakur and 4 other authors View PDF HTML (experimental) Abstract:Existing neural information retrieval (IR) models have often been studied in homogeneous and narrow settings, which has considerably limited insights into their out-of

[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

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https://arxiv.org/pdf/2608.03014
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[astro-ph/0501174] The 2dF Galaxy Redshift Survey: Power-spectrum

https://arxiv.org/abs/astro-ph/0501174
We investigate in detail the modelling of the sample selection

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https://arxiv.org/pdf/2608.03617
ÕuM}–éÏšÕ¿9èbø§1�s(hsÉ1øfáìà[Aþ§{,Ç1bÚo*)N8†'í3µð¹ÈXþ"çý‹ë1·(8Æž ͪ%/RCs-çÁ_�i…w `ÿ 1,9¦> stream A machine-readable catalogue of the Tsiolkovsky papers (fond 555, Archive of the Russian Academy of Sciences), and a way to measure how well its handwriting can be readVladimir Beskorovainyihttp://arxiv

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https://arxiv.org/pdf/2212.07841
–ɲ°„%ì*fcß X”¸Pp@A‹»¬¢|bËd"8 •hµnµb­

Information Retrieval

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

Information Retrieval

https://arxiv.org/list/cs.IR/new
In a live A/B test on Shopee Homepage Search, it increases GMV per user by 1

1 Introduction

https://arxiv.org/html/2407.16741v3
2 Agent Runtime: How Execution of Actions Results in Observations 2

Report GitHub Issue

https://arxiv.org/html/2005.06837v1
Report GitHub Issue Description: arXiv is now an independent nonprofit

Forthcoming in SIAM Journal on Financial Mathematics Decentralised

https://arxiv.org/html/2309.08431v3
2 Concentrated liquidity markets 3 The wealth of liquidity providers in CL pools 3

Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices

https://arxiv.org/html/2509.02523v1
On average, our models achieve error rates 48% lower than the comparably sized Whisper Tiny model, outperform the 9x larger Whisper Small model, and in most cases match or outperform the 28x larger Whisper Medium model

A MULTI-OBJECTIVE COMBINATORIAL OPTIMISATION FRAMEWORK FOR LARGE SCALE

https://arxiv.org/html/2407.03180v1
In agent-based simulations, synthetic populations of agents are commonly used to represent the structure, behaviour, and interactions of individuals

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https://arxiv.org/src/2006.01758
nçHêAùífC[ôum³Ú5n[U+×ø®r�ŠS¾ÑþÀ»INÍÑ��÷{M©÷–vJ©_öbk¢ÿ½fkC¹£"Ÿ�Ý¢÷YöB›j½Ù”­ë±¿\ãKsžGYM�/½Ï·tº‘û”®ù”~]�V…‚ö0Œv†=lPUzî°•è¨+® Þ7´*¼»©â-'B®)S‰…AUl]Š*c

Statistical Mechanics

https://arxiv.org/list/cond-mat.stat-mech/new
more | all New submissions (showing 12 of 12 entries) [1] arXiv:2608

Fair Money – Public Good Value Pricing With Karma Economies

https://arxiv.org/html/2407.05132v1
Congestion pricing is effective in reducing demand to sustainable levels, but also controversial, as it introduces equity issues and systematically discriminates lower-income groups

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https://arxiv.org/pdf/2508.02758
CTBench: Cryptocurrency Time Series Generation BenchmarkYihao AngQiang WangQiang HuangYifan BaoXinyu XiAnthony K. H. TungChen JinZhiyong Huanghttp://creativecommons.org/licenses/by/4.0/q-fin.STcs.AIcs.CEcs.DBcs.LG endstream endobj 4 0 obj >

Untitled Document

https://arxiv.org/html/2607.28294v1
EM] 30 Jul 2026 Bootstrap Inference in Autoregressive Duration Models ††aDepartment of Economics, University of Bologna, Italy and Department of Economics, University of Exeter, UK

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
In practice, many field descriptions remain ambiguous or incomplete, as much of the essential context (e

Quantum Physics

https://arxiv.org/list/quant-ph/new
The suggested interpretation leads to differences in some outcome probabilities compared to previous analyses which, in principle, make it possible to falsify the suggested modifications or the previous analyses (or both)

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https://arxiv.org/src/2608.03930
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https://arxiv.org/pdf/2006.02464
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https://arxiv.org/src/2205.11916v3
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https://arxiv.org/src/2608.04009
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https://arxiv.org/pdf/0912.5375
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https://arxiv.org/pdf/2608.03086
[ì–H5Iù˜_¿_D$ɬ*–.{f°ÀV2+ψ/"#"³²lT­¬Ò�SNY«•W®±*¨à½Š*6^%ÕØ¨¥ë‘(m,´Ò®Fb”öà_4¨wJ§€z�1©;>/Õ?�}øXU‡ãoKõAUGÏ?þ1>ÂîÏ�&_ÞŽ–ãùùhþ§JaÕû—_˜ƒûÓél¹ÀIhF÷]05žJ¡”„ÜF(môªåÓñÉdô`ö -©*€¶ˆPób4Ç´è˜ðWãÅìr~>8:|zÞµׇÇuÈA€%5Ãϵ^±jn°T°Y4Ûö ›eSî*