Papers by Aditya Gourav

2 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 .
Multi-Modal Retrieval For Large Language Model Based Speech Recognition (2024.findings-acl)

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Challenge: kNN-LM and cross-attention techniques are used to extend text based retrieval to other modalities . wide adoption of large language models has driven new application areas leveraging this technology .
Approach: They propose to use kNN-LM and cross-attention techniques to extend text retrieval methods to other modalities.
Outcome: The proposed methods outperform text-based retrieval and improve word error rate on a speech recognition dataset.

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