3 accepted papers
Reinforcement learning (RL) has become a trending paradigm for training large language models (LLMs), particularly for reasoning tasks. Effective RL for LLMs requires massive parallelization and poses an urgent need for efficient training systems. Most existing large-scale RL systems for LLMs are sy…
In this paper, we present our work for automatic speech recognition (ASR) in the Multimodal Information Based Speech Processing (MISP) Challenge 2021. We proposed a combination of the guided source separation-based (GSS) speech enhancement technique and a novel Channel-wise Av-fusion encoder (CAE) b…
End-to-end encryption challenges mobile network operators to assess the quality of the HTTP Adaptive Streaming (HAS), where the quality assessment is coarse-grained, e.g., detecting if there exist stalling during the whole playback. Targeting on this issue, this paper proposes an attention-based hyb…