Taki WU

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authored 5 papers about 1 month ago

A Survey on the Honesty of Large Language Models

Paper • 2409.18786 • Published Sep 27, 2024 • 33

Autoregressive Models in Vision: A Survey

Paper • 2411.05902 • Published Nov 8, 2024 • 18

LiT: Delving into a Simplified Linear Diffusion Transformer for Image Generation

Paper • 2501.12976 • Published Jan 22

PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Paper • 2505.15929 • Published May 21 • 48

Shadow-FT: Tuning Instruct via Base

Paper • 2505.12716 • Published May 19 • 2

authored a paper 7 months ago

LLM-Neo: Parameter Efficient Knowledge Distillation for Large Language Models

Paper • 2411.06839 • Published Nov 11, 2024 • 1

authored 6 papers about 1 year ago

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities

Paper • 2212.06385 • Published Dec 13, 2022

RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer

Paper • 2304.05659 • Published Apr 12, 2023

Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast

Paper • 2405.14507 • Published May 23, 2024

Mixture-of-Subspaces in Low-Rank Adaptation

Paper • 2406.11909 • Published Jun 16, 2024 • 3

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models

Paper • 2404.02657 • Published Apr 3, 2024

Weight-Inherited Distillation for Task-Agnostic BERT Compression

Paper • 2305.09098 • Published May 16, 2023