3 papers
cs.LG2026
Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs
Andy Zeyi Liu, Michael Zhang, Ilana Greenberg +3
Steering large language models (LLMs) is usually done by either instruction prompting or activation steering. Prompting often gives strong control, but caches guidance tokens at ev…
stat.ML2026
Spectral Lens: Activation and Gradient Spectra as Diagnostics of LLM Optimization
Andy Zeyi Liu, Elliot Paquette, John Sous
Training loss and throughput can hide distinct internal representation in language-model training. To examine these hidden mechanics, we use spectral measurements as practical and…
quant-ph2026
QGPU: Parallel logic in quantum LDPC codes
Boren Gu, Andy Zeyi Liu, Armanda O. Quintavalle +3
Quantum error correction is critical to the design and manufacture of scalable quantum computing systems. Recently, there has been growing interest in quantum low-density parity-ch…