---
title: "Who cites Wei Jia — 44 papers of our library — Elamur Research"
description: "44 papers of the Elamur Research library cite the works of Wei Jia, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/wei-jia/cited-by/"
---
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# Who cites Wei Jia

44 citations of their works from 44 papers of our library (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← Wei Jia](https://md.research.elamur.ai/free/en/authors/wei-jia/)

1. **[LLM Agents Making Agent Tools](https://md.research.elamur.ai/free/en/papers/wolflein-2025-llm-agents-making-agent-tools/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.*2025 · 27 citations*
2. [**MizanQA: Benchmarking Large Language Models on Moroccan Legal Question Answering arXiv:2508.16357**Adil Bahaj, Mounir Ghogho*2025 · 5 citations*](https://md.research.elamur.ai/free/en/papers/bahaj-2025-mizanqa-benchmarking-large-language-models/)
3. **[LLM Agents in Law: Taxonomy, Applications, and Challenges](https://md.research.elamur.ai/free/en/papers/liu-2026-llm-agents-law-taxonomy-applications/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shuang Liu, Ruijia Zhang, Ruoyun Ma, et al.*2026 · 4 citations*
4. **[LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence](https://md.research.elamur.ai/free/en/papers/liu-2026-lexgenius-expert-level-benchmark-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenjin Liu, Haoran Luo, Xin Feng, et al.*2026 · 2 citations*
5. [**A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战) Acta Automatica Sinica (自动化学报)**Anda Tang (唐岸达), Zhouchen Lin (林宙辰)*2026*](https://md.research.elamur.ai/free/en/papers/tang-2026-parameter-efficient-fine/)
6. **[MizanQA: A Benchmark for Multi-Answer Moroccan Legal QA](https://md.research.elamur.ai/free/en/papers/bahaj-2026-mizanqa-benchmark-multi-answer-moroccan/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Adil Bahaj, Mounir Ghogho*2026*
7. **[RegNLI: Detecting Online Product Misbranding through Legal and Linguistic Alignment](https://md.research.elamur.ai/free/en/papers/saha-2026-regnli-detecting-online-product-misbranding/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Diya Saha, Abhishek Bharadwaj Varanasi, Tirthankar Dasgupta, et al.*2026*

37 more citing papers of our library have no page here yet.

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