4 papers
Predicting Task Performance with Context-aware Scaling Laws
Kyle Montgomery, David Park, Jianhong Tu +4
Scaling laws have transformed our understanding of large language models by linking upstream metrics like cross-entropy loss to design factors such as model size, training data, an…
SteeringSafety: Benchmarking Representation Steering in LLMs Across Safety Perspectives
Vincent Siu, Nicholas Crispino, David Park +5
We introduce SteeringSafety, a benchmark for evaluating representation steering methods across nine safety perspectives spanning 18 datasets. While prior work highlights the genera…
Is This the Same Code? A Comprehensive Study of Decompilation Techniques for WebAssembly Binaries
Wei-Cheng Wu, Yutian Yan, Hallgrimur David Egilsson +4
WebAssembly is a low-level bytecode language designed for client-side execution in web browsers. The need for decompilation techniques that recover high-level source code from WASM…
AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
Esteban Real, Mirko Rossini, Connal de Souza +7
Transcendental functions, such as the exponential, are central to scientific computing, yet they cannot be natively calculated by digital hardware. Instead, computers must approxim…