Zaid Sheikh

2 accepted papers

2026

Agent Data Protocol

Yueqi Song, Ketan Ramaneti, Zaid Sheikh, Ziru Chen, Boyu Gou, Tianbao Xie +15

ICLR 2026oral

Public research results on large-scale supervised finetuning of AI agents remain relatively rare, since the collection of agent training data presents unique challenges. In this work, we argue that the bottleneck is not a lack of underlying data sources, but that a large variety of data is fragmente…

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2015

Semi-supervised training in low-resource ASR and KWS

Florian Metze, Ankur Gandhe, Yajie Miao, Zaid Sheikh, Yun Wang, Di Xu +6

ICASSP 2015accepted

In particular for “low resource” Keyword Search (KWS) and Speech-to-Text (STT) tasks, more untranscribed test data may be available than training data. Several approaches have been proposed to make this data useful during system development, even when initial systems have Word Error Rates (WER) abov…

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