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eess.AS2026
RLBR: Reinforcement Learning with Biasing Rewards for Contextual Speech Large Language Models
Bo Ren, Ruchao Fan, Yelong Shen +2
Speech large language models (LLMs) have driven significant progress in end-to-end speech understanding and recognition, yet they continue to struggle with accurately recognizing r…
eess.AS2025
Lightweight Prompt Biasing for Contextualized End-to-End ASR Systems
Bo Ren, Yu Shi, Jinyu Li
End-to-End Automatic Speech Recognition (ASR) has advanced significantly yet still struggles with rare and domain-specific entities. This paper introduces a simple yet efficient pr…