Papers by Aditya Gourav
Align-SLM: Textless Spoken Language Models with Reinforcement Learning from AI Feedback (2025.acl-long)
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Guan-Ting Lin, Prashanth Gurunath Shivakumar, Aditya Gourav, Yile Gu, Ankur Gandhe, Hung-yi Lee, Ivan Bulyko
| 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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Aditya Gourav, Jari Kolehmainen, Prashanth Shivakumar, Yile Gu, Grant Strimel, Ankur Gandhe, Ariya Rastrow, Ivan Bulyko
| 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. |