activity
20202025
most citedNo Language Left Behind: Scaling Human-Centered Machine Translation

373 citations · 458 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CL2025

Omnilingual ASR: Open-Source Multilingual Speech Recognition for 1600+ Languages

Omnilingual ASR team, Gil Keren, Artyom Kozhevnikov +30

Automatic speech recognition (ASR) has advanced in high-resource languages, but most of the world's 7,000+ languages remain unsupported, leaving thousands of long-tail languages be…

cs.LG2024

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference

Yejin Lee, Anna Sun, Basil Hosmer +27

Generative artificial intelligence (AI) technology is revolutionizing the computing industry. Not only its applications have broadened to various sectors but also poses new system…

cs.CL2023★ 41 cited

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…

cs.CL2023★ 14 cited

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Seamless Communication, Loïc Barrault, Yu-An Chung +65

What does it take to create the Babel Fish, a tool that can help individuals translate speech between any two languages? While recent breakthroughs in text-based models have pushed…

cs.CL2022★ 373 cited

No Language Left Behind: Scaling Human-Centered Machine Translation

NLLB Team, Marta R. Costa-jussà, James Cross +36

Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today. However,…

cs.CL2022★ 1 cited

Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent

Ethan A. Chi, Ashwin Paranjape, Abigail See +18

We present Chirpy Cardinal, an open-domain social chatbot. Aiming to be both informative and conversational, our bot chats with users in an authentic, emotionally intelligent way.…

cs.CL2021★ 4 cited

Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics

Hyundong Cho, Chinnadhurai Sankar, Christopher Lin +5

Recent works that revealed the vulnerability of dialogue state tracking (DST) models to distributional shifts have made holistic comparisons on robustness and qualitative analyses…

cs.CL2020★ 25 cited

Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations

Ashwin Paranjape, Abigail See, Kathleen Kenealy +7

We present Chirpy Cardinal, an open-domain dialogue agent, as a research platform for the 2019 Alexa Prize competition. Building an open-domain socialbot that talks to real people…