9 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
The System Prompt Illusion: How Instruction Preambles Modify Computation in Language Models
Muhammad Usama, Dong Eui Chang
System prompts are the primary lever practitioners use to control language model behavior, yet what they actually do to the computation inside the transformer remains poorly unders…
Convergence Without Understanding: When Language Models Agree on Representations but Disagree on Reasoning
Muhammad Usama, Dong Eui Chang
Large language models trained under diverse objectives and architectures have been shown to develop increasingly similar internal representations, an observation formalized as the…
Physics-in-the-Loop: A Hybrid Agentic Architecture for Validated CAD Engineering Design
Elias Berger, Muhammad Usama, Jan Mehlstäubl +2
Large Language Models (LLMs) can generate Computer-Aided Design (CAD), yet lack physical comprehension required for reliable engineering design. Instead of attempting to implicitly…
Distributional Reinforcement Learning with Information Bottleneck for Uncertainty-Aware DRAM Equalization
Muhammad Usama, Dong Eui Chang
Equalizer parameter optimization is critical for signal integrity in high-speed memory systems operating at multi-gigabit data rates. However, existing methods suffer from computat…