activity
20242026
most citedOAC: Output-adaptive Calibration for Accurate Post-training Quantization

2 citations · 2 across the 12 of their papers we have counts for

collaborators

12 papers

cs.LG2026

From Fixed Keys to Readable Schemas: Small Language Models for Vehicle Agent Function Calls

Hamed Jafarzadeh Asl, Yuanhao Yu, Vahid Partovi Nia

In-vehicle assistants must translate natural-language requests into accurate vehicle function calls under strict memory and latency constraints, making small language models (SLMs)…

stat.ML2026

Pause and Reflect: Conformal Aggregation for Chain-of-Thought Reasoning

Yu Gu, Zijun Yu, Vahid Partovi Nia +1

Chain-of-thought (CoT) reasoning with self-consistency improves performance by aggregating multiple sampled reasoning paths. In this setting, correctness is no longer tied to a sin…

cs.AI2026

Enterprise Resource Planning Using Multi-type Transformers in Ferro-Titanium Industry

Samira Yazdanpourmoghadam, Mahan Balal Pour, Vahid Partovi Nia

Combinatorial optimization problems such as the Job-Shop Scheduling Problem (JSP) and Knapsack Problem (KP) are fundamental challenges in operations research, logistics, and eterpr…

eess.AS2025

HyWA: Architecture-Preserving Personalized Voice Activity Detection for Full-Duplex Voice Assistants

Hamed Jafarzadeh Asl, Amin Edraki, Mahsa Ghazvini Nejad +4

Voice activity detection (VAD) serves as an early gate in voice-assistant pipelines for smart devices. Because conventional VADs respond to speech from any speaker, nearby conversa…

cs.LG2025

MoKA: Mixture of Kronecker Adapters

Mohammadreza Sadeghi, Mahsa Ghazvini Nejad, MirHamed Jafarzadeh Asl +4

Parameter-efficient fine-tuning (PEFT) is essential for reducing the computational overhead of large language models (LLMs). Low-rank family adapters are commonly used to control t…

eess.AS2025

Tiny Noise-Robust Voice Activity Detector for Voice Assistants

Hamed Jafarzadeh Asl, Mahsa Ghazvini Nejad, Amin Edraki +2

Voice Activity Detection (VAD) in the presence of background noise remains a challenging problem in speech processing. Accurate VAD is essential in automatic speech recognition, vo…