---
title: "Who cites Zhangyang Wang — 267 papers of our library"
description: "267 papers of the Elamur Research library cite the works of Zhangyang Wang, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/zhangyang-wang/cited-by/"
---
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# Who cites Zhangyang Wang

268 citations of their works from 267 papers of our library (of the 149,439 whose bibliographies we read) · 22 with a page here, the most cited first · [← Zhangyang Wang](https://md.research.elamur.ai/free/en/authors/zhangyang-wang/)

1. **[CLEVE: Contrastive Pre-training for Event Extraction](https://md.research.elamur.ai/free/en/papers/wang-2021-cleve-contrastive-pre-training-event/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqi Wang, Xiaozhi Wang, Xu Han, et al.*2021 · 155 citations*
2. **[JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection](https://md.research.elamur.ai/free/en/papers/liang-2022-jointcl-joint-contrastive-learning-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bin Liang, Qinglin Zhu, Xiang Li, et al.*2022 · 119 citations*
3. [**RegMix: Data Mixture as Regression for Language Model Pre-training arXiv:2407.01492**Qian Liu, Xiaosen Zheng, Niklas Muennighoff, et al.*2024 · 57 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-regmix-data-mixture-regression-language/)
4. **[InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery](https://md.research.elamur.ai/free/en/papers/cao-2025-instructmol-multi-modal-integration-building/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**He Cao, Zijing Liu, Xingyu Lu, et al.*2025 · 38 citations*
5. [**A Survey of Small Language Models arXiv:2410.20011**Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.*2024 · 31 citations*](https://md.research.elamur.ai/free/en/papers/nguyen-2024-survey-small-language-models/)
6. **[PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance](https://md.research.elamur.ai/free/en/papers/li-2025-privaci-bench-evaluating-privacy-contextual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haoran Li, Wenbin Hu, Huihao Jing, et al.*2025 · 17 citations*
7. **[PII-Bench: Evaluating Query-Aware Privacy Protection Systems](https://md.research.elamur.ai/free/en/papers/shen-2026-pii-bench-evaluating-query-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Shen, Zhouhong Gu, Haokai Hong, et al.*2026 · 4 citations*
8. **[AnyGraph: Graph Foundation Model in the Wild](https://md.research.elamur.ai/free/en/papers/xia-2026-anygraph-graph-foundation-model-wild/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lianghao Xia, Chao Huang*2026 · 3 citations*
9. **[How Quantization Shapes Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/marcuzzi-2026-how-quantization-shapes-bias-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Federico Marcuzzi, Xuefei Ning, Roy Schwartz, et al.*2026 · 3 citations*
10. **[STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/ni-2026-streasoner-empowering-llms-spatio-temporal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Juntong Ni, Shiyu Wang, Qi He, et al.*2026 · 3 citations*
11. **[Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback](https://md.research.elamur.ai/free/en/papers/yang-2026-time-ra-time-series-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yiyuan Yang, Zichuan Liu, Lei Song, et al.*2026 · 3 citations*
12. [**Contrastive Learning of English Language and Crystal Graphs for Multimodal Representation of Materials Knowledge arXiv:2502.16451**Yang Jeong Park, Mayank Kumaran, Chia-Wei Hsu, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/park-2025-contrastive-learning-english-language-crystal/)
13. **[Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/zhong-2026-beyond-hard-masks-progressive-token/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Linhao Zhong, Linyu Wu, Bozhen Fang, et al.*2026 · 2 citations*
14. **[Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge Recall](https://md.research.elamur.ai/free/en/papers/wang-2026-through-compressed-lens-investigating-impact/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Qianli Wang, Mingyang Wang, Nils Feldhus, et al.*2026 · 2 citations*
15. **[Chat-TS: Enhancing Multi-Modal Reasoning Over Time-Series and Natural Language Data](https://md.research.elamur.ai/free/en/papers/quinlan-2026-chat-ts-enhancing-multi-modal/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Paul Quinlan, Qingguo Li, Xiaodan Zhu*2026 · 1 citation*
16. **[Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation](https://md.research.elamur.ai/free/en/papers/wang-2026-exploring-graph-learning-tasks-pure/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxiang Wang, Xinnan Dai, Wenqi Fan, et al.*2026 · 1 citation*
17. **[IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance](https://md.research.elamur.ai/free/en/papers/shyalika-2026-industryasseteqa-neurosymbolic-operational-intelligence-system/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chathurangi Shyalika, Dhaval C Patel, Amit Sheth*2026 · 1 citation*
18. **[The Model's Language Matters: A Comparative Privacy Analysis of LLMs](https://md.research.elamur.ai/free/en/papers/mishra-2026-model-s-language-matters-comparative/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Abhishek Kumar Mishra, Antoine Boutet, Lucas Magnana*2026 · 1 citation*
19. **[Beyond Bias Scores: Unmasking Vacuous Neutrality in Small Language Models](https://md.research.elamur.ai/free/en/papers/manduru-2026-beyond-bias-scores-unmasking-vacuous/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sumanth Manduru, Carlotta Domeniconi*2026*
20. **[PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information Leakage](https://md.research.elamur.ai/free/en/papers/nakka-2026-pii-jailbreaking-llms-activation-steering/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Krishna Kanth Nakka, Xue Jiang, Dmitrii Usynin, et al.*2026*
21. **[Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation](https://md.research.elamur.ai/free/en/papers/ma-2026-private-seeds-public-llms-realistic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qian Ma, Sarah Rajtmajer*2026*
22. **[TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-training](https://md.research.elamur.ai/free/en/papers/wang-2026-tikmix-efficient-semi-dynamic-data/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifan Wang, Binbinliu, Fengze Liu, et al.*2026*

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

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