papers

Publications (9)

cs.NI2024

High-Fidelity Cellular Network Control-Plane Traffic Generation without Domain Knowledge

Z. Jonny Kong, Nathan Hu, Y. Charlie Hu +2

With rapid evolution of mobile core network (MCN) architectures, large-scale control-plane traffic (CPT) traces are critical to studying MCN design and performance optimization by…

cs.LG2026

LLMs Can Annotate Attribution Graphs

Ameen Patel, Max Zhang, Nathan Hu

Circuit tracing is an exciting technique for revealing the internal computation of language models, but it requires a time-intensive manual step of grouping individual features or…

cs.AI2025

Measuring Sparse Autoencoder Feature Sensitivity

Claire Tian, Katherine Tian, Nathan Hu

Sparse Autoencoder (SAE) features have become essential tools for mechanistic interpretability research. SAE features are typically characterized by examining their activating exam…

cs.LG2026

Transcoder Adapters for Reasoning-Model Diffing

Nathan Hu, Jake Ward, Thomas Icard +1

While reasoning models are increasingly ubiquitous, the effects of reasoning training on a model's internal mechanisms remain poorly understood. In this work, we introduce transcod…

cs.DS2020

Sampling Arborescences in Parallel

Nima Anari, Nathan Hu, Amin Saberi +1

We study the problem of sampling a uniformly random directed rooted spanning tree, also known as an arborescence, from a possibly weighted directed graph. Classically, this problem…

cs.CL2026

Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases

Sherman Wong, Zhenting Qi, Zhaodong Wang +8

Real-world software engineering tasks require coding agents that can operate on massive repositories, sustain long-horizon sessions, and reliably coordinate complex toolchains at t…