الباحثون

Sanjeev Khudanpur

المنشورات 2

نسخة أولية وصول مفتوح

All In Good Time: Causality-Aware Framework for LLM-Based Simultaneous Speech-to-Speech Translation

Large Language Models (LLMs) have shown strong performance in low-resource offline translation; however, extending them to simultaneous speech-to-speech translation (Simul-S2ST) remains challenging due to the scarcity of causally aligned training data with high cross-lingual speaker fidelity. In addition, existing appr …

نسخة أولية وصول مفتوح

LAYERSCOPE: A Layerwise Characterization of Video and Multimodal Learned Representations

We propose LAYERSCOPE, a label-free, layerwise framework that aims to characterize a model's learned representations in video and multimodal settings. Evaluating downstream performance using representations from final or intermediate layers typically requires large amounts of labeled data, repeated task-specific evalua …

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