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20232026
most citedThe Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes

1 citations · 1 across the 6 of their papers we have counts for

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cs.CL2026

Alignment-Free Text-Audiobox for Voice Dubbing and Full-Duplex Dialogue Synthesis

Sanyuan Chen, Min-Jae Hwang, Sho Inoue +12

We present Alignment-Free Text-Audiobox (Text-AB), a unified framework for high-quality voice dubbing and full-duplex dialogue synthesis. Building on a Diffusion Transformer traine…

cs.CL2024

2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset

Marta R. Costa-jussà, Bokai Yu, Pierre Andrews +7

We introduce the first highly multilingual speech and American Sign Language (ASL) comprehension dataset by extending BELEBELE. Our dataset covers 74 spoken languages at the inters…

cs.CL2024

Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents

Bandhav Veluri, Benjamin N Peloquin, Bokai Yu +2

Despite broad interest in modeling spoken dialogue agents, most approaches are inherently "half-duplex" -- restricted to turn-based interaction with responses requiring explicit pr…

cs.CL2024

Towards Massive Multilingual Holistic Bias

Xiaoqing Ellen Tan, Prangthip Hansanti, Carleigh Wood +3

In the current landscape of automatic language generation, there is a need to understand, evaluate, and mitigate demographic biases as existing models are becoming increasingly mul…

cs.CL2024

Spirit LM: Interleaved Spoken and Written Language Model

Tu Anh Nguyen, Benjamin Muller, Bokai Yu +13

We introduce Spirit LM, a foundation multimodal language model that freely mixes text and speech. Our model is based on a 7B pretrained text language model that we extend to the sp…

cs.CL2023

Seamless: Multilingual Expressive and Streaming Speech Translation

Seamless Communication, Loïc Barrault, Yu-An Chung +62

Large-scale automatic speech translation systems today lack key features that help machine-mediated communication feel seamless when compared to human-to-human dialogue. In this wo…