10 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.AI2026
Pushing the Limits of On-Device Streaming ASR: A Compact, High-Accuracy English Model for Low-Latency Inference
Nenad Banfic, David Fan, Kunal Vaishnavi +5
Deploying high-quality automatic speech recognition (ASR) on edge devices requires models that jointly optimize accuracy, latency, and memory footprint while operating entirely on…
cs.CL2025
When Language Overrules: Revealing Text Dominance in Multimodal Large Language Models
Huyu Wu, Meng Tang, Xinhan Zheng +1
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities across a diverse range of multimodal tasks. However, these models suffer from a core problem know…
cs.CL2019★ 10 cited
Learning Compressed Sentence Representations for On-Device Text Processing
Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman +5
Vector representations of sentences, trained on massive text corpora, are widely used as generic sentence embeddings across a variety of NLP problems. The learned representations a…