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https://arxiv.org/pdf/2608.02758
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https://arxiv.org/pdf/2402.03300
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https://arxiv.org/pdf/2608.03118
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https://arxiv.org/html/2608.03703v1
begun on July 20, 2026; the present version is dated August 4, 2026. Claude Opus 5 and Fable 5 provided research assistance throughout, spanning code development, data construction and empirical analysis, and the drafting of the manuscript.
https://arxiv.org/pdf/2407.02510
JäŒX¦H…¯'¿>ø 4EQM—/j4úÁ~ �è–÷zçß}ÿ•¯é7O_ýå}jîvÞ. “»§—;“iîÒ(òüÝÝSq÷¼9�C>Tm“×÷±mÊû Þü~.›¾ì…3™÷†œÙTÍеÅx(=)ýg;äûúí>‰7ÛK}&úê4ÖÜùýç§¿Ó�‚ÀÛʼn|¸ÏïCó[Õ¼Þ?˜ Øte^Wÿ+Éíß$åÎ@üðñéGPþ&‡¶lmQvZ§�z8…Ì%Ùe^üõÕÇcùø¡Å”~ÃOÙå¯ô�0N7uyZn V²©z) "ÉçM!
https://arxiv.org/src/2006.02759
YT,‹ *Šÿ¹ËÌÜ™LÒ²øþ÷þÿÍÍÌ�{Ï=÷ì÷Ü;3==ö¡Biû¸¿òHƒ#;»#þ…Ãø‹ÏÓ3²²²Ò3³²:¦Ç¥¥§eÃ×ñ/ÅŠ!IæƒE9V½ªîÿ‡= ÿ=b€Ê©þ�Ïf—.÷8ƒ³²2ÍùŸž–‘Õ1ñ?=³cfzfZ6ð?£cÇŽq\ÚeÆÃôøÎÿ$NÏz.5•Ã21‚“ä2¯À¹Ä —?p7A ý¼WâRòø`1t¦z=EÍ„ ÇA*·IHJHâzçé58ÐÐü�ð5Çõ e·
https://arxiv.org/src/2006.01048
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https://arxiv.org/src/2303.12712
#�Z-ÿ!¼¦¿îÝ MCj8 ÕƒÂ™êÉ ™÷/E„tNèkyÔÿ>¬ôΉõÓâAŸ4â…Yr'K�R².qy¬Kªy92ÀfŸFÁçÊ•J.´çhÝ Ý¬×íƒÜ ÅÎVwN˜§Ÿc}]øX;‡—Æùqf#ÃaHè…š,9ÞdÒ±1óÐÆŽ:Ûö%ZtÙu!*ÕñZ޹:Û¹Â;"F.Ó::ªãTx¡ãÛ.�F666ÛÛÛÔÑ{'OUÿM�âËUÉ' ƒù�ˆ•²¶3ª`$Q¯¡ô
https://arxiv.org/pdf/2006.00342
R-Rv×üúÍD&À‡({:¦ë‰¡D>¿L âÕý*^½}òâÓ“god"W¹(ŒIVŸîV©Y‘¯2eDš¤«O»ÕÏÑ˶¹+OëþðîýëàÌœz?õà ß “Û¾ñŸytXÓIÑn÷¨À ?f ,#C� µØ�)èl/à§êTŠUYJé¹ó|ýyW•�“Zÿ$ɹø6¨°a˜E2¦v€PC(èë¦xI6=ÀóTÎ1Q"6E¨dôôiΰp]u£|b(j�‘6—`ä~ºr�·Ú°2püÖIz´ö�‹KšÊL¾bAZ
https://arxiv.org/pdf/2303.12712v5
z$gs ²h)„Ïèùý ý_:^X�ÂGCyëêr�G4NǦúpP%êõŪBînk5¢(z…ÖÓ¸%T†ÞQ˜Õãx¯¢[èèð�^ÙÎNwií‡ o[”HaWc±‡vøÑ}¾¿°ÅÇû;ÇF� š~€é�õ
https://arxiv.org/pdf/2508.04671
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https://arxiv.org/abs/2608.03883
Our systems combine sparse BM25 retrieval, evidence-aware rescoring for self-referential symptom reports, embedding-based reranking, query-prototype expansion, and LLM-based reranking
https://arxiv.org/abs/2006.04236
Comments: 2019 IEEE 5th International Conference on Big Data Intelligence and Computing (DATACOM)
Subjects: Distributed, Parallel, and Cluster Computing (cs
https://arxiv.org/abs/2104.08663
Our results show BM25 is a robust baseline and re-ranking and late-interaction-based models on average achieve the best zero-shot performances, however, at high computational costs
https://arxiv.org/abs/2608.03860
The pipeline combines sentence-window chunking, BM25, BGE-M3 dense retrieval, reciprocal rank fusion, optional cross-encoder reranking, and grounded answer generation
https://arxiv.org/list/cs.IR/recent
IR)
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[17] arXiv:2608
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[1] arXiv:2006
https://arxiv.org/pdf/2608.03157
ÄÌ4ºû4àC0ÎøMÈ8$SÙH‹‘Rp¬Æk4>¢eñ8ŠQ�{Ñ›Pp/ªIŠö1˜œñšMõŠc2ââ…^ø¼Q#ïT#ÑáNrFRÂK“àclƒ©‘w'�0I»ƒŸ}¢”ˆŸJüœãþUÞÁñ™h+`d@«WÙul“`¯r0=ÍÑhJl“ŒfÇ6'è‘ÏÅhÞ©&8bAŸƒ|¢ˆ šk³JˆžwÔ„ÔîØF�¹À´ÿù’LÅ·J6Q‰¶�‘†,'ø²¯ÎÄDÓUÁ {P½‰™_GObiw‚I®µ‰& zàk‚ýÑ�¾¥HÂF)Òª0^SÑogRÁ€¨“�ƒœ7™C¦¸ÈÁÑ6¿Ø8â¯W— lÀŸ2N *cåOÕ䂨8S
https://arxiv.org/html/2609.03027v1
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https://arxiv.org/html/2607.28577v1
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arXiv:2607
https://arxiv.org/html/2608.02966v1
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https://arxiv.org/html/2608.03358v1
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arXiv:2608
https://arxiv.org/html/2608.03452v1
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https://arxiv.org/html/2608.02971v1
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https://arxiv.org/html/2609.03103v1
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https://arxiv.org/html/2608.03233v1
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arXiv:2608
https://arxiv.org/html/2608.03067v1
Computational Language Phenotypes in a Large Language Model
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https://arxiv.org/html/2608.02918v1
Miranda is also with LCTI, Télécom Paris, IP Paris, France
https://arxiv.org/html/2608.03099v1
Taxonomy and Evidence Audit of Language Grounding in Embodied Agents
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