M4U: Evaluating Multilingual Understanding and Reasoning for Large Multimodal Models
Paper
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2405.15638
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Published
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1
Hongyu Wang
hongyuw
AI & ML interests
Language Model Pre-training
Recent Activity
authored
a paper
30 days ago
M4U: Evaluating Multilingual Understanding and Reasoning for Large
Multimodal Models
authored
a paper
30 days ago
Bitnet.cpp: Efficient Edge Inference for Ternary LLMs
authored
a paper
30 days ago
BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation
Organizations
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4
papers
30 days ago
Bitnet.cpp: Efficient Edge Inference for Ternary LLMs
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2502.11880
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BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation
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2506.07530
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20
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models
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2506.14435
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hongyuw/ft-bitvla-bitsiglipL-224px-libero_goal-bf16
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hongyuw/ft-bitvla-bitsiglipL-224px-libero_spatial-bf16
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hongyuw/ft-bitvla-bitsiglipL-224px-libero_object-bf16
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hongyuw/ft-bitvla-bitsiglipL-224px-libero_long-bf16
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hongyuw/bitvla-siglipL-224px-bf16
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hongyuw/bitvla-bitsiglipL-224px-bf16
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