Search Results for author: Daniel Tan

Found 9 papers, 3 papers with code

Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models

no code implementations27 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?

Complete Implementation of WXF Chinese Chess Rules

no code implementations23 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.

Study of the Proper NNUE Dataset

no code implementations23 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.

Analyzing the Generalization and Reliability of Steering Vectors

1 code implementation17 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.

Language Modeling Language Modelling

Low-Cost Generation and Evaluation of Dictionary Example Sentences

no code implementations9 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.

cDVGAN: One Flexible Model for Multi-class Gravitational Wave Signal and Glitch Generation

no code implementations29 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.

Generative Adversarial Network

Ultra Violet radiation from sunlight: A key moderating factor in the spread of SARS-CoV-2 during the pandemic of 2020

no code implementations30 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.

Management

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