116 citations · 199 across the 5 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2025★ 7 cited
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Microsoft, :, Abdelrahman Abouelenin +73
We introduce Phi-4-Mini and Phi-4-Multimodal, compact yet highly capable language and multimodal models. Phi-4-Mini is a 3.8-billion-parameter language model trained on high-qualit…
cs.CL2021★ 1 cited
Have best of both worlds: two-pass hybrid and E2E cascading framework for speech recognition
Guoli Ye, Vadim Mazalov, Jinyu Li +1
Hybrid and end-to-end (E2E) systems have their individual advantages, with different error patterns in the speech recognition results. By jointly modeling audio and text, the E2E m…
cs.CL2017★ 70 cited
Unsupervised Adaptation with Domain Separation Networks for Robust Speech Recognition
Zhong Meng, Zhuo Chen, Vadim Mazalov +2
Unsupervised domain adaptation of speech signal aims at adapting a well-trained source-domain acoustic model to the unlabeled data from target domain. This can be achieved by adver…