---
title: "Who cites Tao Liang — 21 papers of our library"
description: "21 papers of the Elamur Research library cite the works of Tao Liang, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/tao-liang/cited-by/"
---
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# Who cites Tao Liang

21 citations of their works from 21 papers of our library (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← Tao Liang](https://md.research.elamur.ai/free/en/authors/tao-liang/)

1. **[Controllable LLM Reasoning via Sparse Autoencoder-Based Steering](https://md.research.elamur.ai/free/en/papers/fang-2026-controllable-llm-reasoning-sparse-autoencoder/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi Fang, Wenjie Wang, Mingfeng Xue, et al.*2026 · 3 citations*
2. [**Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models arXiv:2605.11887**Boyi Deng, Xu Wang, Yaoning Wang, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/deng-2026-qwen-scope-turning-sparse/)
3. **[TamEdit: Trajectory-Aware Meta-Learning for Specificity-Preserving Continual Knowledge Editing](https://md.research.elamur.ai/free/en/papers/tian-2026-tamedit-trajectory-aware-meta-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shiqiang Tian, Cheng Ding, Qin Chen, et al.*2026 · 1 citation*
4. **[Fisher-Driven Adaptive Locating for Knowledge Editing in Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-fisher-driven-adaptive-locating-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chenghao Xu, Jiexi Yan, Guangtao Lyu, et al.*2026*
5. **[Multilingual Language Models Encode Script Over Linguistic Structure](https://md.research.elamur.ai/free/en/papers/verma-2026-multilingual-language-models-encode-script/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aastha A K Verma, Anwoy Chatterjee, Mehak Gupta, et al.*2026*
6. **[Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Editing of LLMs](https://md.research.elamur.ai/free/en/papers/yu-2026-orthogonal-representation-editing-decoupling-semantic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenhao Yu, Zhicong Lu, Bo Lv, et al.*2026*
7. **[Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints](https://md.research.elamur.ai/free/en/papers/peng-2026-preventing-safety-drift-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Songping Peng, Zhiheng Zhang, Daojian Zeng, et al.*2026*
8. **[SAME: Safety-Aware Model Editing Guided by Safety Transformation](https://md.research.elamur.ai/free/en/papers/wang-2026-same-safety-aware-model-editing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiayi Wang, Shipeng Wang, Ji Wu, et al.*2026*
9. **[SpecEdit: A Spectral Approach for Multi-Round Knowledge Editing](https://md.research.elamur.ai/free/en/papers/liu-2026-specedit-spectral-approach-multi-round/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junxian Liu, Zikun Deng, Xin Wu, et al.*2026*
10. **[Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse](https://md.research.elamur.ai/free/en/papers/zhang-2026-spectral-characterization-mitigation-sequential-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chi Zhang, Mengqi Zhang, Xiaotian Ye, et al.*2026*

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

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