- Authors
- Julien Abadji, Marah Abdin, Connor Adams, Eric Alcaide, Mustafa Altun, Michele Artoni, Junze Bao, Uday Barar, Vassilis Bekiaris, Arkadii Bessonov, Benjamin B\"utikofer, Jonathan Chang, Yen-Chun Chen, Dmitry Chernenkov, Yang Chi, Filippos Christianos, Fenia Christopoulou, Razvan-Andrei Ciocoiu, Tzachi Cohen, Yohann Coppel, Dmitrii Emelianenko, Brandon Fergerson, Brian Fitzgerald, Matthias Gall\'e, Alex Golonzovskyi, George Grigorev, Yiyang Hao, Christian Hensel, Jan Huenermann, Ye Ji, Sarthak Joshi, Eiso Kant, Kabir Khandpur, Seonghyeon Kim, Vladimir Kirichenko, Umut Kocasarac, Ilya Kochik, Ivan Komarov, Chaerin Kong, Anurag Koul, Fran\c{c}ois-Joseph Lacroix, Sergei Laktionov, Waren Long, Quentin Malartic, Vadim Markovtsev, Afonso Marques, Robert McHardy, Carlos Mochol\'i, Dmitry Monakhov, Adam Morris, Martin Muller, Christian M\"urtz, Robin Nabel, Thien Nguyen, Rok Novosel, Szymon Ozog, Aalhad Patankar, Aleksei Petrov, Alexandre Pich\'e, Arthur Pignet, Teodor Poncu, Phil Potter, Alexander Rakowski, Pierre-Yves Ritschard, Jay Roberts, Joe Rowell, Piotr Sarna, Pierre-Andr\'e Savalle, Uladzislau Sazanovich, Nikita Shapovalov, Arsenii Shevchenko, Mikhail Shilkov, Andrei Sokol, Mohamed Soliman, Jack Stephenson, Victor Storchan, Dragos-Constantin Tantaru, Artem Tyurin, Adrian W\"alchli, Pengming Wang, Jianxiao Yang, Renat Zayashnikov, Alexander Zelenka Martin, Nikolay Zinov, Caroline Bercier, Jos\'e Caldeira, Margarida Garcia, Tom George, Kabeer Gharzai, Glenn Hitchcock, Carson Klingenberg, Ivo Pinto, Varun Randery, Noah Smith, Arina Sugako, Jason Warner
- Released
- 2026-05-28 (1mo ago)
- Topic
- Related to current project
- Relation to my work
Read next because Laguna M.1/XS.2 Technical Report overlaps with clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)", clean result "Only continuous soft prefixes hit both EM axes at once on Qwen-2.5-7B-Instruct: discrete prompt searches split between the alignment objective and the distributional objective, and both discretizations of the soft prefix collapse (MODERATE confidence)". Matching terms: class, under, soft, eval, token, rate, trained, factor. Source: arxiv cs.AI (Artificial Intelligence).
- arXiv
- 2605.27605