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cs.CL2025★ 1 cited
Granite Embedding R2 Models
Parul Awasthy, Aashka Trivedi, Yulong Li +17
We introduce the Granite Embedding R2 models, a comprehensive family of high-performance English encoder-based embedding models engineered for enterprise-scale dense retrieval appl…
cs.CL2024
Seal: Advancing Speech Language Models to be Few-Shot Learners
Shuyu Lei, Lingen Liu, Jiaolong Yang +4
Existing auto-regressive language models have demonstrated a remarkable capability to perform a new task with just a few examples in prompt, without requiring any additional traini…
cs.CL2023
GRASS: Unified Generation Model for Speech-to-Semantic Tasks
Aobo Xia, Shuyu Lei, Yushu Yang +2
This paper explores the instruction fine-tuning technique for speech-to-semantic tasks by introducing a unified end-to-end (E2E) framework that generates target text conditioned on…