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cs.CL2025
Conditional Multi-Stage Failure Recovery for Embodied Agents
Youmna Farag, Svetlana Stoyanchev, Mohan Li +2
Embodied agents performing complex tasks are susceptible to execution failures, motivating the need for effective failure recovery mechanisms. In this work, we introduce a conditio…
cs.CL2022
Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and Self-training of Neural Transducer
Cong-Thanh Do, Mohan Li, Rama Doddipatla
This paper proposes a new approach to perform unsupervised fine-tuning and self-training using unlabeled speech data for recurrent neural network (RNN)-Transducer (RNN-T) end-to-en…