most citedINCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge

4 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Aya Vision: Advancing the Frontier of Multilingual Multimodality

Saurabh Dash, Yiyang Nan, John Dang +22

Building multimodal language models is fundamentally challenging: it requires aligning vision and language modalities, curating high-quality instruction data, and avoiding the degr…

cs.AI2025

The Leaderboard Illusion

Shivalika Singh, Yiyang Nan, Alex Wang +10

Measuring progress is fundamental to the advancement of any scientific field. As benchmarks play an increasingly central role, they also grow more susceptible to distortion. Chatbo…

cs.CL20244 cited

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge

Angelika Romanou, Negar Foroutan, Anna Sotnikova +56

The performance differential of large language models (LLM) between languages hinders their effective deployment in many regions, inhibiting the potential economic and societal val…

cs.CV2024

SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering

Tianyu Yang, Yiyang Nan, Lisen Dai +3

Audio-Visual Question Answering (AVQA) is a challenging task that involves answering questions based on both auditory and visual information in videos. A significant challenge is i…

cs.CV2024

Continual Audio-Visual Sound Separation

Weiguo Pian, Yiyang Nan, Shijian Deng +3

In this paper, we introduce a novel continual audio-visual sound separation task, aiming to continuously separate sound sources for new classes while preserving performance on prev…