1 citations · 1 across the 3 of their papers we have counts for
3 papers
Transcribe, Translate, or Transliterate: An Investigation of Intermediate Representations in Spoken Language Models
Tolúlopé Ògúnrèmí, Christopher D. Manning, Dan Jurafsky +1
Spoken language models (SLMs) that integrate speech with large language models (LMs) rely on modality adapters (MAs) to map the output of speech encoders to a representation that i…
Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use
Anna Goldie, Azalia Mirhoseini, Hao Zhou +2
Reinforcement learning has been shown to improve the performance of large language models. However, traditional approaches like RLHF or RLAIF treat the problem as single-step. As f…
Multilingual self-supervised speech representations improve the speech recognition of low-resource African languages with codeswitching
Tolúlopé Ògúnrèmí, Christopher D. Manning, Dan Jurafsky
While many speakers of low-resource languages regularly code-switch between their languages and other regional languages or English, datasets of codeswitched speech are too small t…