---
title: "Zhejiang University of Technology — works of 2026 — 4 papers"
description: "4 works of Zhejiang University of Technology from 2026 in our library, the most cited first. Among them: OFFSIDE: Benchmarking Unlearning…"
canonical: "https://research.elamur.ai/free/en/universities/zhejiang-university-of-technology/year/2026/"
---
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# Works of Zhejiang University of Technology from 2026

4 works · the most cited first · [← Zhejiang University of Technology](https://md.research.elamur.ai/free/en/universities/zhejiang-university-of-technology/)

1. **[OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2026-offside-benchmarking-unlearning-misinformation-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Zheng, Zirui Pang, Ling Li, et al.*2026 · 4 citations*
2. **[SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents](https://md.research.elamur.ai/free/en/papers/ying-2026-securewebarena-holistic-security-evaluation-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zonghao Ying, Yangguang Shao, Jianle Gan, et al.*2026 · 3 citations*
3. **[Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration](https://md.research.elamur.ai/free/en/papers/zhong-2026-efficient-self-evaluation-diffusion-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linhao Zhong, Linyu Wu, Wen Wang, et al.*2026 · 1 citation*
4. **[Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks](https://md.research.elamur.ai/free/en/papers/wang-2026-squrve-unified-modular-framework-complex/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yihan Wang, Peiyu Liu, Runyu Chen, et al.*2026*
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