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Yuxiong He

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 15, 2026, 12:57 AM AMS

9

papers

955

total citations

papers (9)

ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers

NEURIPS 2022arXiv

Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping

NEURIPS 2020arXiv

Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation

The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models

NEURIPS 2022arXiv

DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing

NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM

NEURIPS 2021arXiv

ConvCodeWorld: Benchmarking Conversational Code Generation in Reproducible Feedback Environments

SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement

XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient