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Did you mean okapi bm25 site hotchips pp site does apache org site www irs gov site www fc site:arxiv.org?

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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
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Report GitHub Issue

https://arxiv.org/html/2608.02613v1
6 Ingest Overhead: When Does Structured Memory Pay Off

Report GitHub Issue

https://arxiv.org/html/2608.03048v1
× Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to Abstract Download PDF

1 Introduction

https://arxiv.org/html/2501.13956v1
2 Knowledge Graph Construction 2.1 Episodes 2.2 Semantic Entities and Facts 2.2.1 Entities 2.2.2 Facts 2.2.3 Temporal Extraction and Edge Invalidation 2.3 Communities 3 Memory Retrieval 3.1 Search 3.2 Reranker 4 Experiments 4.1 Choice

Computation and Language

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

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
Research artifact available under the Apache-2

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https://arxiv.org/pdf/2608.02976
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https://arxiv.org/pdf/2608.03709
IL‡–óë¿%[&¾ÅÐÎ0$ÞÚ–Ö^û&)‚YÌf\I&™-s˜Ã}æ2×w™bžÌc¾ç0Ÿqn[ŒãOØŒÛÊÅãŽÐŒ».ž%ãžt÷üs™°| 0!$”âá"´!Üae/\¥ãš¯Ñ$™®à:™ŽýóOíÍÁÑÅU§‚ö2|Xÿ&Z!«`�¦,ok7ƒ=8èí_°ýxñ¤ðU�X¯Š‘ÙŠU´`ÍXïzwÝÓ‹b�“`ö»ä:¿K®Ý˜7^u>Ÿ^ìöûÇ(¾íÐà¶ì«Á µªdµÆ…0\6

‹äÑÞ^ì}yWI–oÿ;|Š˜~¸Ú~%Ébg|f0`Œ †B¸ÜÕE5'¤ Ia¥2å\À²ZõÙß]""#¥lW÷Ìyç

https://arxiv.org/src/2006.03720
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https://arxiv.org/src/2303.12712
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https://arxiv.org/pdf/2303.12712v5
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https://arxiv.org/src/2006.02833
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https://arxiv.org/pdf/2006.02833
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https://arxiv.org/src/2005.14165
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https://arxiv.org/src/2006.01318
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https://arxiv.org/src/2006.01598
IK”Ö¿l÷¹÷Æ®ªE‘¢ô�)Qä_¾~ÿú¿óî§oÿéÃßúæãë¿ý›üFþK)´?忇?mòÉÄôo¬OÉ瘓—vÖÛdþÍÌÿ¼¨ÿ~ùðñë÷øÃ¿yÿîÝÇgí^‚ÿÿéÿE¾ú}ýüáÿõúý‡7ï~úÒ~öÏ?ýüËÇ/í—ÿî˯þÛùõ«ÿøæ‡~üú§Ÿ¾ú÷¯?¼ýøî篜±ñÿå?ÿ§þÃýå§×Þ¼þé«¿t1º“p¿ŽÄ?ÿ‡ÿð>¾ÿú§úæ‡w  ÿûûwß½ÿúÇ?

‹•�Ý^ì} `Åúx°`¡‚ˆ"(¬Æ¶½’œ-DD@î³AL“MšdË&¡)i¨ ˆ¢ò¿iiº �.

https://arxiv.org/src/2006.03318
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https://arxiv.org/pdf/2005.14165
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https://arxiv.org/pdf/2608.03233
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%PDF-1.7 %¿÷¢þ 1 0 obj > >> endobj 2 0 obj Surveys and overviews.

https://arxiv.org/pdf/2407.00125
Reliability.Performance.- Software and its engineering -> Software organization and properties.- Computing methodologies -> Artificial intelligence.) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False

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https://arxiv.org/pdf/2407.00273
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https://arxiv.org/pdf/2005.13905
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Information Retrieval

https://arxiv.org/list/cs.IR/new
Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Information Retrieval New submissions Cross-lists Replacements See recent

[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
Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Information Retrieval Authors and titles for recent submissions Wed, 5 Aug 2026

1 Introduction

https://arxiv.org/html/2407.16741v3
2 OpenHands Architecture 2.1 Agent Definition and Implementation 2.2 Agent Runtime: How Execution of Actions Results in Observations 2.3 Agent Skills: The Extensible Agent-Computer Interface 2.4 Agent Delegation: Cooperative Multi-agent

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https://arxiv.org/pdf/2608.02978
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https://arxiv.org/pdf/2512.14692
/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

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https://arxiv.org/pdf/2407.00215
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