--- title: "Who cites Xiangyu Qi — page 3 — 772 papers of our library" description: "772 papers of the Elamur Research library cite the works of Xiangyu Qi, found in their bibliographies · page 3 of 3 · 201–215; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/xiangyu-qi/cited-by/page/3/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiangyu-qi/cited-by/page/3/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Xiangyu Qi](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/) / [cited by](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/cited-by/) / page 3 # Who cites Xiangyu Qi 905 citations of their works from 772 papers of our library (of the 149,439 whose bibliographies we read) · 215 with a page here, the most cited first · page 3 of 3 · 201–215 · [← Xiangyu Qi](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/) [← prev](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/cited-by/page/2/) **3** 201. **[SEAD: A Surrogate-free Label-only Membership Inference Attack against Pre-trained LLMs with Semantic-Aware Density](https://md.research.elamur.ai/free/en/papers/yi-2026-sead-surrogate-free-label-only/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Biao Yi, Jiahao Li, Yiming Li, et al.*2026* 202. **[Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language Models](https://md.research.elamur.ai/free/en/papers/takenaka-2026-seeing-other-side-diagnostic-tasks/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Makoto Takenaka, Hitomi Yanaka*2026* 203. **[SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger](https://md.research.elamur.ai/free/en/papers/shin-2026-sgt-securing-open-source-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sunguk Shin, Fangzhao Wu, Byung-Jun Lee, et al.*2026* 204. **[SLIM: Stealthy Low-Coverage Black-Box Watermarking via Latent-Space Confusion Zones](https://md.research.elamur.ai/free/en/papers/wu-2026-slim-stealthy-low-coverage-black/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hengyu WU, Yang Cao*2026* 205. **[StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt Generation](https://md.research.elamur.ai/free/en/papers/zheng-2026-stealthgraph-exposing-domain-specific-risks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huawei Zheng, Xinqi Jiang, Sen Yang, et al.*2026* 206. **[StructBreak: Structural Cognitive Overload-Induced Safety Failures in MLLMs](https://md.research.elamur.ai/free/en/papers/luo-2026-structbreak-structural-cognitive-overload-induced/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yang Luo, Liu Xinran, TianTian Ji, et al.*2026* 207. **[Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/schaffelder-2026-synthetic-eggs-many-baskets-impact/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Max Schaffelder, Albert Gatt*2026* 208. **[Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling](https://md.research.elamur.ai/free/en/papers/pathmanathan-2026-teach-reward-model-correct-itself/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pankayaraj Pathmanathan, Furong Huang*2026* 209. **[The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training](https://md.research.elamur.ai/free/en/papers/zhang-2026-art-mis-alignment-how-fine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rui Zhang, Hongwei Li, Yun Shen, et al.*2026* 210. **[Thinking Twice Makes Large Language Models Safer and More Helpful](https://md.research.elamur.ai/free/en/papers/mou-2026-thinking-twice-makes-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yutao Mou, Yuxiao Luo, Shikun Zhang, et al.*2026* 211. **[TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak Defense](https://md.research.elamur.ai/free/en/papers/liu-2026-trajguard-streaming-hidden-state-trajectory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Liu, Xiaolei Liu, Xingyu Li, et al.*2026* 212. **[TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment](https://md.research.elamur.ai/free/en/papers/tan-2026-triplay-rl-tri-role-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhewen Tan, Wenhan Yu, Jianfeng Si, et al.*2026* 213. **[Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images](https://md.research.elamur.ai/free/en/papers/yang-2026-visual-self-fulfilling-alignment-shaping/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qishun Yang, Shu Yang, Lijie Hu, et al.*2026* 214. **[When Safety Alignment Fails to Generalize: Probing with Language Game Jailbreaks](https://md.research.elamur.ai/free/en/papers/long-2026-when-safety-alignment-fails-generalize/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zewen Long, Yu Peng, Fangming Dong, et al.*2026* 215. [**When Similar Means Different: Evaluating LLMs on Arabic–Hebrew Cognates**Junhong Liang, Noor Abo Mokh, Bashar Alhafni*2026*](https://md.research.elamur.ai/free/en/papers/liang-2026-similar-means-different-evaluating-llms/) [← prev](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/cited-by/page/2/) [1](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/cited-by/) [2](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/cited-by/page/2/) **3** 557 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/xiangyu-qi/) — Xiangyu Qi