---
title: "Weng Lam Tam — papers"
description: "Weng Lam Tam: 2 papers in the Elamur Research library (2021–2022) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/weng-lam-tam/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/weng-lam-tam/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Weng Lam Tam

# Weng Lam Tam

2 papers on this site (2021–2022)

[OpenAlex](https://openalex.org/A5090754832) · [ORCID](https://orcid.org/0009-0008-4517-3593) · h-index 6 · 9 works · 508 citations (openalex-snapshot, 2026-10-14)

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

- [GLM-130B: An Open Bilingual Pre-trained Model](https://md.research.elamur.ai/free/en/papers/zeng-2022-glm-130b-open-bilingual-pre/) — Aohan Zeng, Xiao Liu, Zhengxiao Du, et al. · 2022 · 775 citations
- [P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks](https://md.research.elamur.ai/free/en/papers/liu-2021-p-tuning-v2-prompt-tuning/) — Xiao Liu, Kaixuan Ji, Yicheng Fu, et al. · 2021 · 464 citations