arXiv AIBy Teddy Ferdinan, Bart{\l}omiej Koptyra, Miko{\l}aj Langner, Tomasz Adamczyk, {\L}ukasz Radli\'nski, Maciej Markiewicz, Aleksander Szcz\k{e}sny, Stanis{\l}aw Wo\'zniak, Tymoteusz Romanowicz, Dzmitry Pihulski, Mateusz Zbrocki, Mateusz \'Smigielski, Micha{\l} Rajkowski, Mateusz Biedka, Konrad Kie{\l}czy\'nski, Konrad Wojtasik, Jacek Duszenko, Jan Eliasz, Piotr Matys, Micha{\l} Bernacki-Janson, Maria Bellaniar Ismiati, Latius Hermawan, Wiktoria Mieleszczenko-Kowszewicz, Anna Kubicka-Sowinska, Grzegorz Chodak, Karol Postawa, Pawe{\l} Zyblewski, Tomasz Szanda{\l}a, {\L}ukasz Sterczewski, Adrian Chajec, Pawel Niewiadomski, Piotr Gruber, Marcin Wdowikowski, S{\l}awomir Czarnecki, Bart{\l}omiej Kryszak, Dominik Drabik, Tomasz Kajdanowicz, Kamil Mamak, Pawe{\l} Pre\'s, Katarzyna Paczkowska, Joachim Sobczuk, Tomasz Zi\k{e}ba, Jan Koco\'n, Maciej Piasecki, Przemys{\l}aw Kazienko
Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches
arXiv:2606. 01145v1 Announce Type: new Abstract: While Reasoning Language Models (RLMs) are rapidly emerging as powerful tools for scientific research, their impact is primarily concentrated in "hard science" fields.
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arXiv:2606. 08532v1 Announce Type: new Abstract: A scientific hypothesis is the first step in research and undergoes experimental validation, yet it also reflects a deep understanding of and reasoning about scientific phenomena.
By Lei Lin, Ronghao Wang, Chunbao Zhou, Jue Wang, Yangang Wang
arXiv:2607. 20926v1 Announce Type: new Abstract: Scientific research involves complex information-seeking and reasoning workflows across heterogeneous sources.
By Yinhao Tang, Youqing Fang, Yanan Sun, Wenran Liu, Weiming Zhang, Bin Liu, Kuikun Liu, Wenwei Zhang, Kai Chen
arXiv:2604. 12176v2 Announce Type: replace Abstract: Relational reasoning is the ability to infer relations that jointly bind multiple entities, attributes, or variables.
By Lukas Fesser, Yasha Ektefaie, Ada Fang, Sham M. Kakade, Marinka Zitnik
arXiv:2506. 03922v4 Announce Type: replace-cross Abstract: Multimodal Large Language Models (MLLMs) have demonstrated significant potential to advance a broad range of domains.
arXiv:2509. 23426v3 Announce Type: replace Abstract: AI scientists are emerging computational systems that serve as collaborative partners in discovery.
arXiv:2604. 10788v2 Announce Type: replace-cross Abstract: Tool-Integrated Reasoning (TIR) has emerged as a promising direction by extending Large Language Models' (LLMs) capabilities with external tools during reasoning.
By Qiancheng Xu, Yongqi Li, Fan Liu, Hongru Wang, Min Yang, Wenjie Li