VILA-Lab: Vision and Language Acceleration Lab
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- United Arab Emirates
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- DRAG Public
VILA-Lab/DRAG’s past year of commit activity - DELT Public
(CVPR 2025) Official implementation to DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation which outperforms SOTA top 1-acc by +1.3% and increases diversity per class by +5%
VILA-Lab/DELT’s past year of commit activity - M-Attack Public
A Simple Baseline Achieving Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1. Paper at: https://arxiv.org/abs/2503.10635
VILA-Lab/M-Attack’s past year of commit activity - Mobile_MMLU Public
VILA-Lab/Mobile_MMLU’s past year of commit activity - Mobile-MMLU Public
Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark. Paper at: https://arxiv.org/abs/2503.20786
VILA-Lab/Mobile-MMLU’s past year of commit activity - M-Attack-Website Public
VILA-Lab/M-Attack-Website’s past year of commit activity - SRe2L Public
(NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.
VILA-Lab/SRe2L’s past year of commit activity - Open-LLM-Leaderboard Public
Open-LLM-Leaderboard: Open-Style Question Evaluation. Paper at https://arxiv.org/abs/2406.07545
VILA-Lab/Open-LLM-Leaderboard’s past year of commit activity - Open-LLM-Leaderboard-Website Public
VILA-Lab/Open-LLM-Leaderboard-Website’s past year of commit activity - ATLAS Public
A principled instruction benchmark on formulating effective queries and prompts for large language models (LLMs). Our paper: https://arxiv.org/abs/2312.16171
VILA-Lab/ATLAS’s past year of commit activity
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