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Peng Xu

Papers
17

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17papers

Authored papers

17

EfficientQAT: Efficient Quantization-Aware Training for Large Language Models

arXiv 2024

2024

Frontiers in Intelligent Colonoscopy

arXiv 2024

2024

LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion

CVPR 2024 1

2024

BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation

arXiv 2024

2024

AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback

arXiv 2024

2024

ImageBind-LLM: Multi-modality Instruction Tuning

arXiv 2023

2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

arXiv 2023

2023

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

arXiv 2023

2023

DiffRate : Differentiable Compression Rate for Efficient Vision Transformers

ICCV 2023 1

2023

RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models

arXiv 2023

2023

Feature Expansion for Graph Neural Networks

arXiv 2023

2023

p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models

arXiv 2023

2023

Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks

arXiv 2023

2023

RT-1: Robotics Transformer for Real-World Control at Scale

arXiv 2022

2022

Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset

LREC 2022 6

2022

ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation

LREC 2022 6

2021

Improve Transformer Models with Better Relative Position Embeddings

Findings of the Association for Computational Linguistics 2020

2020

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from 17 papers