Zobrazeno 1 - 10
of 4 536
pro vyhledávání: '"Krasheninnikov, A. A."'
A key objective of interpretability research on large language models (LLMs) is to develop methods for robustly steering models toward desired behaviors. To this end, two distinct approaches to interpretability -- ``bottom-up" and ``top-down" -- have
Externí odkaz:
http://arxiv.org/abs/2411.07213
To determine the safety of large language models (LLMs), AI developers must be able to assess their dangerous capabilities. But simple prompting strategies often fail to elicit an LLM's full capabilities. One way to elicit capabilities more robustly
Externí odkaz:
http://arxiv.org/abs/2405.19550
Probing the band splitting near the $\Gamma$ point in the van der Waals magnetic semiconductor CrSBr
Autor:
Lin, Kaiman, Li, Yi, Ghorbani-Asl, Mahdi, Sofer, Zdenek, Winnerl, Stephan, Erbe, Artur, Krasheninnikov, Arkady V., Helm, Manfred, Zhou, Shengqiang, Dan, Yaping, Prucnal, Slawomir
This study investigates the electronic band structure of Chromium Sulfur Bromide (CrSBr) through comprehensive photoluminescence (PL) characterization. We clearly identify low-temperature optical transitions between two closely adjacent conduction-ba
Externí odkaz:
http://arxiv.org/abs/2404.02927
Autor:
Krasheninnikov, Dmitrii, Krasheninnikov, Egor, Mlodozeniec, Bruno, Maharaj, Tegan, Krueger, David
We demonstrate that LLMs may learn indicators of document usefulness and modulate their updates accordingly. We introduce random strings ("tags") as indicators of usefulness in a synthetic fine-tuning dataset. Fine-tuning on this dataset leads to imp
Externí odkaz:
http://arxiv.org/abs/2310.15047
Autor:
Jansen, Daniel, Tounsi, Tfyeche, Fischer, Jeison, Krasheninnikov, Arkady V., Michely, Thomas, Komsa, Hannu-Pekka, Jolie, Wouter
We present an atomically precise technique to create sulfur vacancies and control their atomic configurations in single-layer MoS$_{2}$. It involves adsorbed Fe atoms and the tip of a scanning tunneling microscope, which enables single sulfur removal
Externí odkaz:
http://arxiv.org/abs/2401.09931
Autor:
Barnowsky, Tom, Curtarolo, Stefano, Krasheninnikov, Arkady V., Heine, Thomas, Friedrich, Rico
Controlling the magnetic state of two-dimensional (2D) materials is crucial for spintronic applications. By employing data-mining and autonomous density functional theory calculations, we demonstrate the switching of magnetic properties of 2D non-van
Externí odkaz:
http://arxiv.org/abs/2310.07329
Autor:
Victoria A. Shestakova, Ilya D. Klabukov, Ilya V. Kolobaev, Longfeng Rao, Dmitry A. Atiakshin, Michael A. Ignatyuk, Mikhail E. Krasheninnikov, Bagavdin G. Ahmedov, Sergey A. Ivanov, Peter V. Shegay, Andrey D. Kaprin, Denis S. Baranovskii
Publikováno v:
Knee Surgery & Related Research, Vol 36, Iss 1, Pp 1-10 (2024)
Abstract Background Due to non-vascularized and aneural structure, articular cartilage has limited self-repairing capacity. The aim of this study was to investigate the revitalization of inflammatory injured articular cartilage matrices by human nasa
Externí odkaz:
https://doaj.org/article/ae5620ecc5654568b02bb9aa2b10f1db
Autor:
Casper, Stephen, Davies, Xander, Shi, Claudia, Gilbert, Thomas Krendl, Scheurer, Jérémy, Rando, Javier, Freedman, Rachel, Korbak, Tomasz, Lindner, David, Freire, Pedro, Wang, Tony, Marks, Samuel, Segerie, Charbel-Raphaël, Carroll, Micah, Peng, Andi, Christoffersen, Phillip, Damani, Mehul, Slocum, Stewart, Anwar, Usman, Siththaranjan, Anand, Nadeau, Max, Michaud, Eric J., Pfau, Jacob, Krasheninnikov, Dmitrii, Chen, Xin, Langosco, Lauro, Hase, Peter, Bıyık, Erdem, Dragan, Anca, Krueger, David, Sadigh, Dorsa, Hadfield-Menell, Dylan
Reinforcement learning from human feedback (RLHF) is a technique for training AI systems to align with human goals. RLHF has emerged as the central method used to finetune state-of-the-art large language models (LLMs). Despite this popularity, there
Externí odkaz:
http://arxiv.org/abs/2307.15217
Autor:
Smirnov, R. D., Krasheninnikov, S. I.
The 2D3V Aspherical Particle-in-Cell (APIC) code is developed for modeling of interactions of non-spherical dust grains with plasmas. It simulates the motion of plasma electrons and ions in a self-consistent electric field of plasma-screened charged
Externí odkaz:
http://arxiv.org/abs/2307.11107
Autor:
Höflich, Katja, Hobler, Gerhard, Allen, Frances I., Wirtz, Tom, Rius, Gemma, McElwee-White, Lisa, Krasheninnikov, Arkady V., Schmidt, Matthias, Utke, Ivo, Klingner, Nico, Osenberg, Markus, Córdoba, Rosa, Djurabekova, Flyura, Manke, Ingo, Moll, Philip, Manoccio, Mariachiara, De Teresa, José Marıa, Bischoff, Lothar, Michler, Johann, De Castro, Olivier, Delobbe, Anne, Dunne, Peter, Dobrovolskiy, Oleksandr V., Frese, Natalie, Gölzhäuser, Armin, Mazarov, Paul, Koelle, Dieter, Möller, Wolfhard, Pérez-Murano, Francesc, Philipp, Patrick, Vollnhals, Florian, Hlawacek, Gregor
The focused ion beam (FIB) is a powerful tool for the fabrication, modification and characterization of materials down to the nanoscale. Starting with the gallium FIB, which was originally intended for photomask repair in the semiconductor industry,
Externí odkaz:
http://arxiv.org/abs/2305.19631