---
title: "Pengcheng He — papers"
description: "Pengcheng He: 10 papers in the Elamur Research library (2019–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/pengcheng-he/"
---
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# Pengcheng He

10 papers on this site (2019–2023)

[OpenAlex](https://openalex.org/A5019259019) · [ORCID](https://orcid.org/0000-0002-7860-503X) · h-index 24 · 62 works · 4558 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning](https://md.research.elamur.ai/free/en/papers/zhang-2023-adalora-adaptive-budget-allocation-parameter/) — Qingru Zhang, Minshuo Chen, Alexander Bukharin, et al. · 2023
- [Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback](https://md.research.elamur.ai/free/en/papers/peng-2023-check-facts-try-again-improving/) — Baolin Peng, Michel Galley, Pengcheng He, et al. · 2023
- [DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models](https://md.research.elamur.ai/free/en/papers/chuang-2023-dola-decoding-contrasting-layers-improves/) — Yung-Sung Chuang, Yujia Xie, Hongyin Luo, et al. · 2023
- [Instruction Tuning with GPT-4](https://md.research.elamur.ai/free/en/papers/peng-2023-instruction-tuning-gpt-4/) — Baolin Peng, Chunyuan Li, Pengcheng He, et al. · 2023
- [Query Rewriting in Retrieval-Augmented Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2023-query-rewriting-retrieval-augmented-large/) — Xinbei Ma, Yeyun Gong, Pengcheng He, et al. · 2023
- [DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing](https://md.research.elamur.ai/free/en/papers/he-2021-debertav3-improving-deberta-using-electra/) — Pengcheng He, Jianfeng Gao, Weizhu Chen · 2021
- [DeBERTa: Decoding-enhanced BERT with Disentangled Attention](https://md.research.elamur.ai/free/en/papers/he-2020-deberta-decoding-enhanced-bert-disentangled/) — Pengcheng He, Xiaodong Liu, Jianfeng Gao, et al. · 2020
- [Generation-Augmented Retrieval for Open-domain Question Answering](https://md.research.elamur.ai/free/en/papers/mao-2020-generation-augmented-retrieval-open-domain/) — Yuning Mao, Pengcheng He, Xiaodong Liu, et al. · 2020
- [SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization](https://md.research.elamur.ai/free/en/papers/jiang-2020-smart-robust-efficient-fine-tuning/) — Haoming Jiang, Pengcheng He, Weizhu Chen, et al. · 2020
- [Multi-Task Deep Neural Networks for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/liu-2019-multi-task-deep-neural-networks/) — Xiaodong Liu, Pengcheng He, Weizhu Chen, et al. · 2019