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Pu Zhao

Microsoft researcher; co-author on WizardLM / Evol-Instruct.

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researcher
Currently at
Microsoft Research
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Papers
23

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23papers

Authored papers

23

UFO2: The Desktop AgentOS

arXiv 2025

2025

Token Reduction Should Go Beyond Efficiency in Generative Models -- From Vision, Language to Multimodality

arXiv 2025

2025

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning

arXiv 2025

2025

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

arXiv 2025

2025

VOTE: Vision-Language-Action Optimization with Trajectory Ensemble Voting

arXiv 2025

2025

Efficient Reasoning with Hidden Thinking

arXiv 2025

2025

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation

arXiv 2025

2025

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge

quartdepth-post-training-quantization-for

2025

Taming Diffusion for Dataset Distillation with High Representativeness

arXiv 2025

2025

Large Action Models: From Inception to Implementation

arXiv 2024

2024

Fully Open Source Moxin-7B Technical Report

arXiv 2024

2024

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers

arXiv 2024

2024

AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation

arXiv 2024

2024

Fast and Memory-Efficient Video Diffusion Using Streamlined Inference

arXiv 2024

2024

Search for Efficient Large Language Models

arXiv 2024

2024

EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge

arXiv 2024

2024

Rethinking Token Reduction for State Space Models

arXiv 2024

2024

WizardLM: Empowering Large Language Models to Follow Complex Instructions

ICLR

2023

TaskWeaver: A Code-First Agent Framework

arXiv 2023

2023

WizardCoder: Empowering Code Large Language Models with Evol-Instruct

arXiv 2023

2023

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering

arXiv 2023

2023

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

arXiv 2022

2022

Advancing Model Pruning via Bi-level Optimization

arXiv 2022

2022

Affiliations

Currently at

Microsoft Research

researcher · research group

Frequent co-authors

10

from 23 papers