---
title: "Haikou — works of 2026: 3 papers, the most cited first"
description: "3 works of Haikou from 2026 in our library, the most cited first. Among them: LexGenius: An Expert-Level Benchmark for Large Language…"
canonical: "https://research.elamur.ai/free/en/agglomerations/haikou/year/2026/"
---
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# Works of Haikou from 2026

3 works · the most cited first · [← Haikou](https://md.research.elamur.ai/free/en/agglomerations/haikou/)

1. **[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*
2. **[Safe-FedLLM: Delving into the Safety of Federated Large Language Models](https://md.research.elamur.ai/free/en/papers/tao-2026-safe-fedllm-delving-into-safety/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingxiang Tao, Yu Tian, Wenxuan Tu, et al.*2026*
3. **[Trustworthy and Explainable Causal Representation Learning in Transformers](https://md.research.elamur.ai/free/en/papers/liu-2026-trustworthy-explainable-causal-representation-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yang Liu, Yinghao Zhang, Lin Liu, et al.*2026*
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