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17 result(s) for “okapi bm25 site hotchips pp site www is gov site consumer ftp gov site www is site:arxiv.org” · 631 ms
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The query asks the model to recall the topic of an earlier conversation about Tesla; the gold answer is anchored in one specific session about Pooja’s dig site
from the top result below
https://arxiv.org/html/2608.02613v1
Then it must make an even harder judgment: even if the answer is known, is it actually appropriate to tell Bob
https://arxiv.org/html/2501.13956v1
Consequently, additional context is required to provide out-of-domain (OOD) knowledge and reduce hallucinations
https://arxiv.org/html/2608.03048v1
com/JetAstra/PI-Mem
Introduction
The ability to reason over long contexts is increasingly important for large language models (LLMs), supporting applications such as long-document question answering (Gemini Team 2025; Yang et al
https://arxiv.org/pdf/2607.26405v1
e„¥âŒ8äúò¤Îs`ÚWg+`î#)�SÎ%~Æü8§NTâ°ÒŒ¡YEð,Ê ¯(îÒ6À*†3FÓª¼r44ëP#®Y§†fÍžhhÓ°CkE8ã8å²+ûj®"7 Gö9ç¢~PpúCŠ+ªRî2C�ËÇ#`øp¿Ëœ1q îE—Œ‡£ü�ˆEÈ5’=„ŸF]=7úz&`ÿq•p&b¡Ã°§|Ç _/ôcØS‰½MrõΤ×fÈ/öÝðù%Ðm ÆðȰw öŠù\Ô‰CÞúbÖ“ ÿxö5cÖ fÌw(¥:¤§ÐKœŸz‰gßqf1iXgù·á3NpÆ óéìÓy/hHS>Wø›ÎúÁÏ#ÊÍÁ/—«ù¯¡¿ÿ5fÒerT§apC…
https://arxiv.org/pdf/2608.02851v1
%ß6ùõ�ÃG"¥8/1tx4œ93CŠŒ`“LÔ’)¦cš9S1Ã8‚YÆeí˜cܨšÕŒ;ͯ˜¨4LCÏ‚ eQ™0F3®˜p†ÞÑLVVÒ»L ²Ì-“ÊѳcÒ8z®™t4¯¨˜ªhÁ™¢È(Sš¹dSLÕ‚ž5Ó\Ò³aZ*úµLkC|rÚ*ÄÀ´«1)3•¤I83ÜÒ¤‚) —ÌhL®˜1F2‚ŒµœœaÆYÁ¤e¦¶Šœb¶²ätÍ,§qU1+(nÅ™•ôG‘.Òð|û-»ÿ±;tãÀþϾÙvc»yn†çîÐ�½¨¸
https://arxiv.org/abs/2608.03883
Our manual top-10 analysis aligned with the official expert scoring trend, suggesting that staged reranking is a promising direction for further development
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
Across these settings, hybrid retrieval is more robust than either sparse-only or dense-only retrieval in our setting, reaching Recall@10 of 1
https://arxiv.org/list/cs.IR/new
IR)
Industrial recommenders increasingly adopt the pretrain-then-transfer paradigm, yet behavioral distribution drift raises two questions: what to learn from behavior sequences, and how to transfer the learned knowledge while the pretrained model is continually refreshed
https://arxiv.org/list/cs.IR/recent
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Information Retrieval
Authors and titles for recent submissions
Wed, 5 Aug 2026
https://arxiv.org/list/cs.CL/new
Many practically important problems are naturally treated as black-box optimization (BBO) problems, in which only objective values are observable, and the functional form is unavailable
https://arxiv.org/html/2407.16741v3
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Abstract
Software is one of the most powerful tools that we humans have at our disposal; it allows a skilled programmer to interact with the world in complex and profound ways
https://arxiv.org/html/2609.03371v1
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https://arxiv.org/list/astro-ph/2008-04
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Astrophysics
Authors and titles for April 2008
Total of 860 entries : 1-50 51-100 101-150 151-200 ... 851-860
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https://arxiv.org/html/2608.02800v1
Under free entry, consumer welfare is pinned down by Ï„\tau alone, so self-preferencing has zero direct effect on consumers
https://arxiv.org/html/2608.03504v1
1 Introduction
Consider a consumer who is searching online to hire a car in a popular destination
https://arxiv.org/list/cs.AI/new
, the meaning of a customized field) originates from users' domain knowledge and is rarely documented publicly