40 citations · 109 across the 27 of their papers we have counts for
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cs.CL2024★ 1 cited
Transforming LLMs into Cross-modal and Cross-lingual Retrieval Systems
Frank Palma Gomez, Ramon Sanabria, Yun-hsuan Sung +3
Large language models (LLMs) are trained on text-only data that go far beyond the languages with paired speech and text data. At the same time, Dual Encoder (DE) based retrieval sy…
cs.LG2024★ 10 cited
LLM Augmented LLMs: Expanding Capabilities through Composition
Rachit Bansal, Bidisha Samanta, Siddharth Dalmia +6
Foundational models with billions of parameters which have been trained on large corpora of data have demonstrated non-trivial skills in a variety of domains. However, due to their…