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Pu Zhao

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

13

papers

968

total citations

papers (13)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Advancing Model Pruning via Bi-level Optimization

NEURIPS 2022arXiv

Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search

LazyDiT: Lazy Learning for the Acceleration of Diffusion Transformers

Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution

NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration

Numerical Pruning for Efficient Autoregressive Models

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment

InstructGIE: Towards Generalizable Image Editing

Sparse Learning for State Space Models on Mobile

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

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval

Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge