activity
20232026
most citedProfiling Large Language Model Inference on Apple Silicon: A Quantization Perspective

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SD2026

Steerspeech: Activation Steering For Emotion Control In Generated Speech

Afsara Benazir, Darius Pétermann, Felix Xiaozhu Lin +1

Pretrained text-to-speech (TTS) models can generate expressive speech, but reliable inference-time emotion control remains challenging: prompts and reference audio offer coarse, in…

cs.LG2026

Benchmarking Composable Compression Techniques in Mixture-of-Experts LLMs

Afsara Benazir, Chen Chen, Rongxiao Qu +3

Mixture-of-Experts (MoE) LLMs scale model capacity efficiently through sparse activation, but their large expert parameter footprint, routing imbalance, and long-context KV-cache g…

cs.LG2026

Efficient Mixture-of-Experts LLM Inference with Apple Silicon NPUs

Afsara Benazir, Felix Xiaozhu Lin

Apple Neural Engine (ANE) is a dedicated neural processing unit (NPU) present in every Apple Silicon chip. Mixture-of-Experts (MoE) LLMs improve inference efficiency via sparse act…

cs.PF2025★ 1 cited

Profiling Large Language Model Inference on Apple Silicon: A Quantization Perspective

Afsara Benazir, Felix Xiaozhu Lin

A systematic understanding of Apple Silicon is lacking in the current landscape of hardware efficiency; research focus is largely centered on accelerating GPUs for large-scale trai…

cs.OS2025

Proto: A Guided Journey through Modern OS Construction

Wonkyo Choe, Rongxiang Wang, Afsara Benazir +1

Proto is a new instructional OS that runs on commodity, portable hardware. It showcases modern features, including per-app address spaces, threading, commodity filesystems, USB, DM…

eess.AS2025

Safeguarding Privacy in Edge Speech Understanding with Tiny Foundation Models

Afsara Benazir, Felix Xiaozhu Lin

Robust speech recognition systems rely on cloud service providers for inference. It needs to ensure that an untrustworthy provider cannot deduce the sensitive content in speech. Sa…

eess.AS2023★ 1 cited

Speech Understanding on Tiny Devices with A Learning Cache

Afsara Benazir, Zhiming Xu, Felix Xiaozhu Lin

This paper addresses spoken language understanding (SLU) on microcontroller-like embedded devices, integrating on-device execution with cloud offloading in a novel fashion. We leve…