collaborators

5 papers

cs.CL2024

FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data

Haoran Sun, Renren Jin, Shaoyang Xu +10

Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource lan…

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

Towards Red Teaming in Multimodal and Multilingual Translation

Christophe Ropers, David Dale, Prangthip Hansanti +9

Assessing performance in Natural Language Processing is becoming increasingly complex. One particular challenge is the potential for evaluation datasets to overlap with training da…

cs.SD2024

MuTox: Universal MUltilingual Audio-based TOXicity Dataset and Zero-shot Detector

Marta R. Costa-jussà, Mariano Coria Meglioli, Pierre Andrews +6

Research in toxicity detection in natural language processing for the speech modality (audio-based) is quite limited, particularly for languages other than English. To address thes…

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…