---
title: "Who cites LexGenius: An Expert-Level — 2 citing papers"
description: "2 papers of the Elamur Research library cite «LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General…"
canonical: "https://research.elamur.ai/free/en/papers/liu-2026-lexgenius-expert-level-benchmark-large/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [LexGenius: An Expert-Level Benchmark for Large…](https://md.research.elamur.ai/free/en/papers/liu-2026-lexgenius-expert-level-benchmark-large/) / cited by

# Who cites «LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence»

2 papers of our library cite it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «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/)

1. **[MAXS: Meta-Adaptive Exploration with LLM Agents](https://md.research.elamur.ai/free/en/papers/zhang-2026-maxs-meta-adaptive-exploration-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jian Zhang, Zhiyuan Wang, Zhangqi Wang, et al.*2026*

1 more paper of our library cites it; it has no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/liu-2026-lexgenius-expert-level-benchmark-large/) — LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence