---
title: "Wei Lu — papers"
description: "Wei Lu: 7 papers in the Elamur Research library (2019–2024) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/wei-lu/"
---
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# Wei Lu

7 papers on this site (2019–2024)

[OpenAlex](https://openalex.org/A5045807606) · [ORCID](https://orcid.org/0000-0003-0827-0382) · h-index 41 · 178 works · 8999 citations (openalex-snapshot, 2026-10-14)

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

- [TinyLlama: An Open-Source Small Language Model](https://md.research.elamur.ai/free/en/papers/zhang-2024-tinyllama-open-source-small-language/) — Peiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al. · 2024
- [Learning to Reason Deductively: Math Word Problem Solving as Complex Relation Extraction](https://md.research.elamur.ai/free/en/papers/jie-2022-learning-reason-deductively-math-word/) — Zhanming Jie, Jierui Li, Wei Lu · 2022
- [Position-Aware Tagging for Aspect Sentiment Triplet Extraction](https://md.research.elamur.ai/free/en/papers/xu-2020-position-aware-tagging-aspect-sentiment/) — Lu Xu, Hao Li, Wei Lu, et al. · 2020
- [Reasoning with Latent Structure Refinement for Document-Level Relation Extraction](https://md.research.elamur.ai/free/en/papers/nan-2020-reasoning-latent-structure-refinement-document/) — Guoshun Nan, Zhijiang Guo, Ivan Sekulic, et al. · 2020
- [Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders](https://md.research.elamur.ai/free/en/papers/wang-2020-two-are-better-than-one/) — Jue Wang, Wei Lu · 2020
- [WN-Salience: A Corpus of News Articles with Entity Salience Annotations](https://md.research.elamur.ai/free/en/papers/wu-2020-wn-salience-corpus-news-articles/) — Chuan Wu, Evangelos Kanoulas, Maarten de Rijke, et al. · 2020
- [Attention Guided Graph Convolutional Networks for Relation Extraction](https://md.research.elamur.ai/free/en/papers/guo-2019-attention-guided-graph-convolutional-networks/) — Zhijiang Guo, Yan Zhang, Wei Lu · 2019
