--- title: "Who cites Jinghao Zhang — 34 papers of our library" description: "34 papers of the Elamur Research library cite the works of Jinghao Zhang, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/jinghao-zhang/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jinghao-zhang/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Jinghao Zhang](https://md.research.elamur.ai/free/en/authors/jinghao-zhang/) / cited by # Who cites Jinghao Zhang 35 citations of their works from 34 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · [← Jinghao Zhang](https://md.research.elamur.ai/free/en/authors/jinghao-zhang/) 1. **[Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/deng-2025-unveiling-language-specific-features-large/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Boyi Deng, Yu Wan, Baosong Yang, et al.*2025 · 18 citations* 2. **[Personalized Text Generation with Contrastive Activation Steering](https://md.research.elamur.ai/free/en/papers/zhang-2025-personalized-text-generation-contrastive-activation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinghao Zhang, Yuting Liu, Wenjie Wang, et al.*2025 · 13 citations* 3. **[LaMP-QA: A Benchmark for Personalized Long-form Question Answering](https://md.research.elamur.ai/free/en/papers/salemi-2025-lamp-qa-benchmark-personalized-long/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alireza Salemi, Hamed Zamani*2025 · 12 citations* 4. **[Latent Inter-User Difference Modeling for LLM Personalization](https://md.research.elamur.ai/free/en/papers/qiu-2025-latent-inter-user-difference-modeling/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, et al.*2025 · 12 citations* 5. **[BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation](https://md.research.elamur.ai/free/en/papers/pai-2026-billy-steering-large-language-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, et al.*2026 · 4 citations* 6. **[Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization](https://md.research.elamur.ai/free/en/papers/zhang-2026-preference-heads-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weixu Zhang, Ye Yuan, Changjiang Han, et al.*2026 · 1 citation* 7. **[Beyond Task-Level Context: Class-Conditional Context Vectors for Implicit In-Context Learning](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-task-level-context-class/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jianxin Zhang, Yilu Hu, Teng Liu, et al.*2026* 8. **[ChildEval:WHEN LARGE LANGUAGE MODELS MEET CHILDREN'S PERSONALITIES](https://md.research.elamur.ai/free/en/papers/luo-2026-childeval-when-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yanyan Luo, Xue Han, Chunxu Zhao, et al.*2026* 9. **[ClusterRAG: Cluster-Based Collaborative Filtering for Personalized Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/nkhata-2026-clusterrag-cluster-based-collaborative-filtering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gibson Nkhata, Uttamasha Anjally Oyshi, Quan Mai, et al.*2026* 10. **[CoPA: Benchmarking Personalized Question Answering with Data-Informed Cognitive Factors](https://md.research.elamur.ai/free/en/papers/su-2026-copa-benchmarking-personalized-question-answering/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hang Su, Zequn Liu, Chen Hu, et al.*2026* 11. **[How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities](https://md.research.elamur.ai/free/en/papers/xu-2026-how-controllable-are-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziwen Xu, Kewei Xu, Haoming Xu, et al.*2026* 12. **[Intent-Driven Semantic ID Generation for Grounded Conversational News Recommendation](https://md.research.elamur.ai/free/en/papers/su-2026-intent-driven-semantic-id-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongyang Su, Beibei Kong, Lei Cheng, et al.*2026* 13. [**JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew**Itay Razumenko, Arnon Sturm, Nir Grinberg*2026*](https://md.research.elamur.ai/free/en/papers/razumenko-2026-judgemenot-personalizing-large-language-models/) 14. **[Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Prediction](https://md.research.elamur.ai/free/en/papers/park-2026-learning-retrieve-user-history-generate/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sejun Park, Yoonah Park, Jongwon Lim, et al.*2026* 15. **[Travel on the ICD Tree: Benchmarking Agentic Reasoning for ICD Coding from Chinese Electronic Medical Records](https://md.research.elamur.ai/free/en/papers/xu-2026-travel-icd-tree-benchmarking-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinjie Xu, Yongqi Fan, Shuang-shuang Chen, et al.*2026* 16. **[Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers](https://md.research.elamur.ai/free/en/papers/zhang-2026-unleashing-native-recommendation-potential-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhiyang Zhang, Junda She, Kuo Cai, et al.*2026* 18 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/jinghao-zhang/) — Jinghao Zhang