8 papers
MoshiRAG: Asynchronous Knowledge Retrieval for Full-Duplex Speech Language Models
Chung-Ming Chien, Manu Orsini, Eugene Kharitonov +3
Speech-to-speech language models have recently emerged to enhance the naturalness of conversational AI. In particular, full-duplex models are distinguished by their real-time inter…
Cross-Modal Taxonomic Generalization in (Vision-) Language Models
Tianyang Xu, Marcelo Sandoval-Castaneda, Karen Livescu +2
What is the interplay between semantic representations learned by language models (LM) from surface form alone to those learned from more grounded evidence? We study this question…
On the Predictive Power of Representation Dispersion in Language Models
Yanhong Li, Ming Li, Karen Livescu +1
We show that a language model's ability to predict text is tightly linked to the breadth of its embedding space: models that spread their contextual representations more widely ten…
OKBench: Democratizing LLM Evaluation with Fully Automated, On-Demand, Open Knowledge Benchmarking
Yanhong Li, Tianyang Xu, Kenan Tang +3
Knowledge-intensive question answering is central to large language models (LLMs) and is typically assessed using static benchmarks derived from sources like Wikipedia and textbook…
Flow-SLM: Joint Learning of Linguistic and Acoustic Information for Spoken Language Modeling
Ju-Chieh Chou, Jiawei Zhou, Karen Livescu
Textless spoken language models (SLMs) are generative models of speech that do not rely on text supervision. Most textless SLMs learn to predict the next semantic token, a discrete…
Transcribe, Translate, or Transliterate: An Investigation of Intermediate Representations in Spoken Language Models
Tolúlopé ÃgúnrèmÃ, 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…