Hongyu Wang

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authored 4 papers 8 months ago

M4U: Evaluating Multilingual Understanding and Reasoning for Large Multimodal Models

Paper • 2405.15638 • Published May 24, 2024 • 1

Bitnet.cpp: Efficient Edge Inference for Ternary LLMs

Paper • 2502.11880 • Published Feb 17, 2025 • 7

BitVLA: 1-bit Vision-Language-Action Models for Robotics Manipulation

Paper • 2506.07530 • Published Jun 9, 2025 • 20

MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models

Paper • 2506.14435 • Published Jun 17, 2025 • 7

authored a paper 10 months ago

BitNet v2: Native 4-bit Activations with Hadamard Transformation for 1-bit LLMs

Paper • 2504.18415 • Published Apr 25, 2025 • 49

authored a paper 11 months ago

BitNet b1.58 2B4T Technical Report

Paper • 2504.12285 • Published Apr 16, 2025 • 83

authored 3 papers over 1 year ago

1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs

Paper • 2410.16144 • Published Oct 21, 2024 • 5

BitNet a4.8: 4-bit Activations for 1-bit LLMs

Paper • 2411.04965 • Published Nov 7, 2024 • 69

Q-Sparse: All Large Language Models can be Fully Sparsely-Activated

Paper • 2407.10969 • Published Jul 15, 2024 • 23

authored 4 papers about 2 years ago

DeepNet: Scaling Transformers to 1,000 Layers

Paper • 2203.00555 • Published Mar 1, 2022 • 2

Foundation Transformers

Paper • 2210.06423 • Published Oct 12, 2022

TorchScale: Transformers at Scale

Paper • 2211.13184 • Published Nov 23, 2022

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 627

authored a paper over 2 years ago

BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 106