Papers by Prashanth Gurunath Shivakumar

1 papers
Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback (2025.acl-long)

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Challenge: Textless Spoken Language Models lag behind text-based Large Language Model (LLM) in semantic coherence and relevance.
Approach: They propose a framework that leverages preference optimization inspired by Reinforcement Learning with Human Feedback to enhance the semantic understanding of SLMs.
Outcome: The proposed framework achieves state-of-the-art performance of SLMs for most benchmarks . it leverages preference optimization inspired by Reinforcement Learning with Human Feedback .

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