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https://arxiv.org/pdf/2508.11152
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https://arxiv.org/src/2006.00342
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https://arxiv.org/pdf/2607.27188v1
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https://arxiv.org/pdf/2407.00225
-scale, Independent and Comprehensive study of the power of LLMs for test case generationWendkûuni C. OuédraogoKader KaboréYinghua LiHaoye TianAnil KoyuncuJacques KleinDavid LoTegawendé F. Bissyandéhttp://creativecommons.org/licenses

‹Ptá^ì|‡ô Ÿúoÿ ?ú¬px8:�†ÐÞïFŸ±ýß“)óIãÄŠû,’2ÙwSÿ¿é§ÛítN�ß}

https://arxiv.org/src/2006.02085
rúž�Ù¥•¸Ó]+Z¸W�—ǧ'¡-tfž•ˆÀ�||þâå Þ»ízŽmE{¸�:oŸ=W–ãÄélæ.Ø öîÝ×äþ— o;’›0°?–SÆ‘ñbŠ EP˜ðÚ yoäjz0H´'ÞæÒOŒJœ û²�û»ˆDÈv]¶+Øià@È „óÝú©—¸¡·ü¢ÓùWO¦Ã�eûV”ìÙ^üû�±1þ†ÃýAÿ‡Šÿ£ÑÁÿÇÿÆgg§³³ÃNçnÌàîØÏ…O|ÕÃÞ ˆæ¥Ã®ÝdÎ’¹`Ž´ã$rC–

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https://arxiv.org/src/2006.01318
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https://arxiv.org/src/2006.03271
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‹c;Ø^ì˜yÙ˜ñÒ�ÈÏgÇGà�|~Á?ÿ™þz~ûüÏ“ðÙÍßFD9zfd_໯ú

https://arxiv.org/src/2006.02055
×ÿÔé3Bùâ½È¤/;?æ$þæûßeRø ™B&ØOȤô2ÁB&åŸ�éÐOȤò2AåF¨ŸñMýŸz•ÓÍ?_èuø×þ¸5²–%ÐD2æÛ?²ÿˆHwý/øt!wœ¾ò¹êÒø~õßõ?Kð°ÿ¸fœœ¿_ŒoÖÿôzP ûÓÿ?0åÿ¯ÿÿ{d¯©®¾,TN‘uoýäêäÜMjFg}#+ $Â;º±" ˆ€s!»‚”誓 ˆ>ƃ^íÐ[zA èho¤UŠQáØ€Þ‹+(�øTþ©lX™oZ

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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/src/2211.10435v1
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https://arxiv.org/pdf/2608.03358
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https://arxiv.org/pdf/2002.02145
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https://arxiv.org/src/2212.07841
JœìwŽkcË ¸«0-pª2¹Ò�üÄë'{„@qïÖ\ZæSv¢(ï;¼ÛbE¬7¼óêb�4Q‰Rñÿ8Ö

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https://arxiv.org/pdf/2407.17789
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https://arxiv.org/pdf/2212.07841
L‰o3¥„¼›î€è\,ÖŸ–DÄõ Ïj+”>éu57§qˆËË…g7PXîðs캦f^ÔìøÍçKèGoÕÜÒk*/¥©¯w®ód*àä êŽùûi÷v‡÷ÂtNüxA˜¯×]G©

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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/2507.17609
כּžñÖöìfóëKêÅ#ÉòÜXÜÎRE>¤(Ršc©x%M%*ªT%+FY¥*¦EUWÜÐJWB˜ÊT’Ô%•¢ð‹VªV0ÖBW”Wš‘ŠŠJצ¢²2’�,`fðr>ó(p°šV8�sø $!XÅ`Š$ð›Ão¿Q�šWL‚¿A”æ¤b Oø òŒºQ0 ‡(W•i@s%ào`ÚT\€¥+j%+d%ŠVY%ÐáGH «’²€Š–¢>Âb ¢ †W~„" Õ°®� (KIŽו”ø5` vt€

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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*

Report GitHub Issue

https://arxiv.org/html/2608.02613v1
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends

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https://arxiv.org/pdf/2608.02833
�aI{ô4IïÇ{:ãu‚öÜïIùÝëâC@ïuµX½Ï{u…[Ð�ývÏ'jèÿåäêj:3{¯Ÿ}¥Æ¯ÕøÅâ‡:©ñ·‹å›éšúç'5~ÊÑ×�¿ªñK5þ~z¾Â[ ¦€%Ñšá’ÑÞÐ2$ìÿúælõ¿«©ÿm6ÿ¯ÿPÿýd>_¬vCzÑ ND;8¥5$8]\>Ò¿goo–S-=€RÖtŠ4-Úç �¦…"Á\Ãs}sv�ag‹¹~¡CªìtfŒ�ê 4

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

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

‹«¦ªgìýuX–ßÖ6 # "Š€‚"H ˆ4HHK§Ò%-"HH‡ ‚(Ò) RŠ �*H§tw—4

https://arxiv.org/src/2502.05512
ýöÑzð«•wv¶e•¾ØÓ3wºA�ùÑX–ÔÖÖ6\*u®J¿Â¦ ¬>õ x™ÎLÝôƒ�jŒm5ޱÜV´{üŽ+Olî²¾NMIѤ§¨ðcÞ-§¥À¤ù  eüâæÖ«n-N]9%D̬ÔP¦M0© ºÉGO»

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

[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

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

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