most citedGemini 1.5: Unlocking multimodal understanding across millions of tokens of context

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eess.AS2025

Data-Centric Lessons To Improve Speech-Language Pretraining

Vishaal Udandarao, Zhiyun Lu, Xuankai Chang +6

Spoken Question-Answering (SQA) is a core capability for useful and interactive artificial intelligence systems. Recently, several speech-language models (SpeechLMs) have been rele…

eess.AS2025

SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction Fine-Tuning

Prabhat Pandey, Rupak Vignesh Swaminathan, K V Vijay Girish +4

We introduce SIFT (Speech Instruction Fine-Tuning), a 50M-example dataset designed for instruction fine-tuning and pre-training of speech-text large language models (LLMs). SIFT-50…