Pengcheng He
- Papers
- 24
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Authored papers
24Orchard: An Open-Source Agentic Modeling Framework
arXiv 2026
ThetaEvolve: Test-time Learning on Open Problems
arXiv 2025
Chain of Draft: Thinking Faster by Writing Less
arXiv 2025
Guiding Large Language Models via Directional Stimulus Prompting
guiding-large-language-models-via-directional
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
arXiv 2023
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models
arXiv 2023
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection
arXiv 2023
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
arXiv 2023
Instruction Tuning with GPT-4
arXiv 2023
In-Context Learning Unlocked for Diffusion Models
in-context-learning-unlocked-for-diffusion
AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
arXiv 2023
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
arXiv 2023
Personalized Abstractive Summarization by Tri-agent Generation Pipeline
arXiv 2023
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
arXiv 2023
Deep Reinforcement Learning from Hierarchical Preference Design
arXiv 2023
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization
arXiv 2022
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog
arXiv 2022
Less is More: Task-aware Layer-wise Distillation for Language Model Compression
arXiv 2022
OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering
omnitab-pretraining-with-natural-and
Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs
arXiv 2022
Diffusion-GAN: Training GANs with Diffusion
arXiv 2022
Generation-Augmented Retrieval for Open-domain Question Answering
ACL 2021 5
On the Variance of the Adaptive Learning Rate and Beyond
ICLR 2020 1
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
smart-robust-and-efficient-fine-tuning-for-1
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