no code implementations • 27 Feb 2025 • Jan Wehner, Sahar Abdelnabi, Daniel Tan, David Krueger, Mario Fritz
We present the first comprehensive survey of RepE for LLMs, reviewing the rapidly growing literature to address key questions: What RepE methods exist and how do they differ?
1 code implementation • 24 Feb 2025 • Jan Betley, Daniel Tan, Niels Warncke, Anna Sztyber-Betley, Xuchan Bao, Martín Soto, Nathan Labenz, Owain Evans
In our experiment, a model is finetuned to output insecure code without disclosing this to the user.
no code implementations • 23 Dec 2024 • Daniel Tan, Neftali Watkinson Medina
Unlike repetitions in Western Chess where all repetitions are draws, repetitions in Chinese Chess could result in a win, draw, or loss depending on the kind of repetition being made by both players.
no code implementations • 23 Dec 2024 • Daniel Tan, Neftali Watkinson Medina
NNUE (Efficiently Updatable Neural Networks) has revolutionized chess engine development, with nearly all top engines adopting NNUE models to maintain competitive performance.
1 code implementation • 17 Jul 2024 • Daniel Tan, David Chanin, Aengus Lynch, Dimitrios Kanoulas, Brooks Paige, Adria Garriga-Alonso, Robert Kirk
In this work, we rigorously investigate these properties, and show that steering vectors have substantial limitations both in- and out-of-distribution.
no code implementations • 9 Apr 2024 • Bill Cai, Clarence Boon Liang Ng, Daniel Tan, Shelvia Hotama
We introduce a new automatic evaluation metric called OxfordEval that measures the win-rate of generated sentences against existing Oxford Dictionary sentences.
1 code implementation • 5 Feb 2024 • Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi
As a result, it is usually necessary to reproduce the experiments from scratch, which can be time-consuming and error-prone.
no code implementations • 29 Jan 2024 • Tom Dooney, Lyana Curier, Daniel Tan, Melissa Lopez, Chris Van Den Broeck, Stefano Bromuri
Specifically, our experiments show that training convolutional neural networks (CNNs) with our cDVGAN-generated data improves the detection of samples embedded in detector noise beyond the synthetic data from other state-of-the-art GAN models.
no code implementations • 30 May 2021 • Nirmala D. Desouza, Srikanta Sannigrahi, D. Blaise, Daniel Tan, Artemi Cerdà
The importance of UV radiation in natural sunlight as a disinfectant for SARS-CoV-2 cannot be ignored since the lockdowns were lifted; further, it can be considered as a factor for COVID management.