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https://arxiv.org/list/cs.IR/new
We provide the core implementation of KGD at this https URL
https://arxiv.org/pdf/2608.04341
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https://arxiv.org/pdf/2608.01785
B×%pp†7w}^Ít§3>›/n¤NŒ ·yàú@øI’v�o‘¡¬½nÞG‚ÿžŠê—
https://arxiv.org/html/2608.03372v1
The check compares the stored text against its source; the question is what the comparison is made of: a free, auditable word list, or an LLM call that must be trusted
https://arxiv.org/html/2608.03446v1
Predicting Multilingual Classification and Translation Performance of LLMs with Cross-Lingual Alignment – Is English Enough
https://arxiv.org/html/2608.02609v1
Code and pretrained model: https://github
https://arxiv.org/html/2210.00131v4
where X�Xitalic_X & Y�Yitalic_Y are the dataset’s text-based features & labels, B�Bitalic_B & G�Gitalic_G are common causes of X�Xitalic_X & Y�Yitalic_Y: one a shortcut and one intended, and W�Witalic_W & S�Sitalic_S are not causes of Y�Yitalic_Y, but included due to their
https://arxiv.org/html/2608.02612v1
2 Behavioral Analysis of LLMs as Meta-Solvers
Sensitivity to Problem Domains and Difficulties
https://arxiv.org/html/2407.02518v2
For instance, in a study of Github’s Copilot, Pearce et al
https://arxiv.org/pdf/2608.03138
¼ÌÓ+eÿ�,¿L}˜Ã‹ºÿuÌh{¼žÏÇ€HJ'›�êÃ>N�¼>ïNA-ËáÍÿôz*¥kÃy»±—ó®Ónx ÉZë�Z{¿IÂÐÿï3“qËóþæÝF¯öñ_ª³z“¬ šMJÓ �£Pp
https://arxiv.org/pdf/2006.02055
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https://arxiv.org/pdf/2407.00323
ÚhmÃ^àA²jDÐT÷pL¿£ÅüÎhÏoÑ9çú¹î‘Y@& “Á ‘åá�ë÷íׯ{üeþOó¿Ì÷‹î°ÜÎûíb»ÞÌ7»ý¢?ôý|×ïÛî°Ÿß}7ÿf~‹ŠËš߬7ëõ|Éù× ƒÙ«Ÿæ_7ó«?ªò–¿¿bÙz~õŽOtøó«G3U.=£ÔV³7?üƒ ìûÒÃ`8ªíûGóõa±Ÿ_ýíѬ‹!Í É�j`¸ w; —ejnxï]PšÍr9 úóüùŸù\ª˜~ ïóW?ÍNà}½í ðv·]ô]7Bû·W[k
https://arxiv.org/pdf/2212.07841
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https://arxiv.org/html/2607.22511v2
2 A tour of the clusters
Graphs and structural models
https://arxiv.org/src/2608.03930
¬eHž9s–ï,3n4.�ú‡Ã£úu¨‚Ÿþ�W¯^¯c>ñÚülì¶:?5»v§Óì´{ÍŸÍf·Ûù‰5þ%~*¯8Œ¸fì'Tô£ûî»þôu»Å{ªXÛ"|Æ^°ßh ¯Ûô“.Ç!Ÿºø,R3OÌ…÷l»ty,=p?¹ƒÛÞ�Ä×:þž¥w¶HUN¥ÅChZ–÷Ò xdI«n…Ñ?DÔ†5)¿¢9Aúü};‘òLØÌ…¥ èöf2Œuyr.ÊWžµn2ͳ™VP�ÑMÆÔ3[ù3̫ͽ3gl„c¦\m¶£ÿŠhÿ%
https://arxiv.org/src/1910.03771
uŸŸåø;êó©oE]]e}.þõ¹º*ø?,è¾sPŽ?Ö¿ï~""#2³ª{>¬‹k‰ÓU™7nܸq?7n8Õæ•¾W¼J¹Å–Ï(|¶nÝBácÿÛ¼eÛ–± c›·�nß¼m˶ £cðwtƒ}xб?�(vB!6„Aгûk½„~úûû…cñ@>ÚÔ¼ºWub/ðEP»½Ê¬{™ˆâå¦+êü“TºÒ:aSW-—Ë¢²,à:¶ £µœy Kµ™Äü+vª6Î�& à0�;Ïó«PÆ"_—ñ�ßiUp|ü`
https://arxiv.org/html/2402.03300v3
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
1 Introduction
1
https://arxiv.org/pdf/2407.01489
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https://arxiv.org/html/2407.17789v2
6 Case Studies on Individual-level Simulations Involving Agents with A Mixture of LLMs
E
https://arxiv.org/html/2607.26245v1
The attempt did not produce a tradable edge: out-of-sample, a walk-forward logistic model over 43 microstructure features does not beat, and slightly underperforms, the probability already implied by Polymarket’s own order book, and simulated trading nets −0
https://arxiv.org/html/2608.00785v1
com
Abstract
Content discovery systems depend on relevance judgment for search quality evaluation, but human annotation faces inter-annotator disagreement and scaling costs
https://arxiv.org/src/2608.03984
(ín’¢w- t‘xµäÌ�œÎ©½½·gǧgáu™¥ßü9Ÿ=|ž>}Ìßøô¿÷ÿÓÁ7ûO?>88 öýý'�¿{Ò|:Ÿª4²â›"ËÌçà¾Ôÿôs?BeV‘*q$ÞS>÷«RNu&Ë5WI0ôºÇ:Q©œYˆÒ:�دO¥©b�…FÝáaøÙô$Í µž¼Œ’O©4#= G¥iˆÒ÷Ç¡]K®¢OsU”:K eß6c ‰ž+¿'8Ø;xb‡ ò"˜õÄ‚(›å»`Ø}²÷
https://arxiv.org/html/2508.16279v1
We provide a scalable evaluation module with a visual studio interface, making the development of long-trajectory agentic applications more manageable and easier to trace
https://arxiv.org/html/2608.03077v1
Protection and Intelligent Processing of Intangible Cultural
Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism
{yeyongshi,biaofu}@stu
https://arxiv.org/pdf/2407.00132
ÞOÊ0�†æ�]H…Mmñ) 0� òîÀoÕBÓê~‘œgê…˜F¶‡MÚt°ó_x·l‘V¶Žï¦Ô@ )3q†/J É˜Š›-ÌO±�¿L9Û”±mÒ>¸pŸ‰F ¯Û4`¯h�ÜÔÿ®cª�y ®+p W„}þx\I©,Àâá(ÍåÈzó�¹[ú©ÙÙ|ÜÜÆœø5²ìŽÕüÖ§åâdE™%y¸”ïqÁ¼Œ>2÷d«ñJ‚5ªÒrË© Zî"Œ I†™¯C_Ù€™Oþðª‘û(¾»Ó�è•ZoD�™á¼iÏ�Ë¿mºñÔ8]4k%Lnª†¸ýã¥ð؟ׅ_,…}�4÷ƃ)6`éöL;ßY�øÎ×`œ4#utWúµ/œVD³]Ç¿óEIl&¢^
https://arxiv.org/pdf/2507.17609
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