--- title: "Research Triangle — works, page 2 — Elamur Research" description: "Works of Research Triangle: 120 in our library · page 2 of 2, the most cited first. Among them: Risk-Controlled Event-Driven Cascading…" canonical: "https://research.elamur.ai/free/en/agglomerations/research-triangle/works/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/agglomerations/research-triangle/works/page/2/) [home](https://md.research.elamur.ai/free/en/) / [institutions](https://md.research.elamur.ai/free/en/orgs/) / [agglomerations](https://md.research.elamur.ai/free/en/agglomerations/) / [Research Triangle](https://md.research.elamur.ai/free/en/agglomerations/research-triangle/) / [works](https://md.research.elamur.ai/free/en/agglomerations/research-triangle/works/) / page 2 # Works of Research Triangle 120 · page 2 of 2 · the most cited first · [← Research Triangle](https://md.research.elamur.ai/free/en/agglomerations/research-triangle/) [← prev](https://md.research.elamur.ai/free/en/agglomerations/research-triangle/works/) [1](https://md.research.elamur.ai/free/en/agglomerations/research-triangle/works/) **2** 101. **[Risk-Controlled Event-Driven Cascading Updates for Knowledge Graph Consistency Restoration](https://md.research.elamur.ai/free/en/papers/ni-2026-risk-controlled-event-driven-cascading/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bo Ni, Qinwen Ge, Haowei Fu, et al.*2026* 102. **[Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection](https://md.research.elamur.ai/free/en/papers/niu-2026-routing-generated-data-annotation-free/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyi Niu, Justin Chen, Genta Indra Winata, et al.*2026* 103. **[SimpleOCR: Rendering Visual Questions to Teach MLLMs to Read](https://md.research.elamur.ai/free/en/papers/peng-2026-simpleocr-rendering-visual-questions-teach/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yibo Peng, Peng Xia, Ding Zhong, et al.*2026* 104. **[Why is “Chicago” Predictive of Deceptive Reviews? Using LLMs to Discover Language Phenomena from Lexical Cues](https://md.research.elamur.ai/free/en/papers/qu-2026-why-is-chicago-predictive-deceptive/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Jiaming Qu, Mengtian Guo, Yue Wang*2026* 105. **[MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication](https://md.research.elamur.ai/free/en/papers/sambara-2026-medredflag-investigating-how-llms-redirect/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sraavya Sambara, Yuan Pu, Ayman Ali, et al.*2026* 106. **[Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks](https://md.research.elamur.ai/free/en/papers/sarwar-2026-multimodal-unlearning-across-vision-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, et al.*2026* 107. **[Lost in Expression: Diagnosing Systemic Challenges with Non-Manual Generalization in Sign Language Understanding Tasks](https://md.research.elamur.ai/free/en/papers/sazonov-2026-lost-expression-diagnosing-systemic-challenges/) [LREC Workshop on the Representation and Processing of Sign Languages: Language in Motion](https://md.research.elamur.ai/free/en/venues/signlang/)**Dmitriy Sazonov, Sevgi Z. Gurbuz, Evie A. Malaia*2026* 108. **[CLARO: Controlled Attribute-Driven Reasoning Optimization for Efficient Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/schlesinger-2026-claro-controlled-attribute-driven-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Oded Schlesinger, Young Kyung Kim, J. Matias Di Martino, et al.*2026* 109. **[Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection](https://md.research.elamur.ai/free/en/papers/shao-2026-leave-my-images-alone-preventing/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zedian Shao, Hongbin Liu, Yuepeng Hu, et al.*2026* 110. [**Exploring the anatomy of articulation rate in spontaneous English speech: relationships between utterance length effects and social factors arXiv:2408.06732**James Tanner, Morgan Sonderegger, Jane Stuart-Smith, et al.*2024*](https://md.research.elamur.ai/free/en/papers/tanner-2024-exploring-anatomy-articulation-rate-spontaneous/) 111. **[Reasoning-Aware AIGC Detection via Alignment and Reinforcement](https://md.research.elamur.ai/free/en/papers/wang-2026-reasoning-aware-aigc-detection-alignment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhao Wang, Max Xiong, Jianxun Lian, et al.*2026* 112. **[Stabilizing Efficient Reasoning with Step-Level Advantage Selection](https://md.research.elamur.ai/free/en/papers/wang-2026-stabilizing-efficient-reasoning-step-level/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Han Wang, Xiaodong Yu, Jialian Wu, et al.*2026* 113. **[SynthAgent: Adapting Web Agents with Synthetic Supervision](https://md.research.elamur.ai/free/en/papers/wang-2026-synthagent-adapting-web-agents-synthetic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaoyang Wang, Yiming Liang, Xuchao Zhang, et al.*2026* 114. **[On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied Planning](https://md.research.elamur.ai/free/en/papers/wu-2026-policy-reinforcement-fine-tuning-offline/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Di Wu, Jiaxin Fan, Chloe Gu, et al.*2026* 115. **[Confirming Correct, Missing the Rest: LLM Tutoring Agents Struggle Where Feedback Matters Most](https://md.research.elamur.ai/free/en/papers/yasir-2026-confirming-correct-missing-rest-llm/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Tahreem Yasir, Wenbo Li, Sam Gilson, et al.*2026* 116. **[Automatic and Reliable Evaluation for Academic Caption-to-Figure Generation with LMMs](https://md.research.elamur.ai/free/en/papers/ye-2026-automatic-reliable-evaluation-academic-caption/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guanghui Ye, Huan Zhao, Qin Zhu, et al.*2026* 117. **[Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks](https://md.research.elamur.ai/free/en/papers/zhang-2026-copyright-detective-forensic-system-evidence/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guangwei Zhang, Jianing Zhu, Cheng Qian, et al.*2026* 118. **[ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation](https://md.research.elamur.ai/free/en/papers/zhang-2026-reasonrec-reasoning-augmented-multimodal-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yihua Zhang, Mingfu Liang, Jiyan Yang, et al.*2026* 119. **[Demystify the Role of Memory in Machine Learning Engineering Agents](https://md.research.elamur.ai/free/en/papers/zhao-2026-demystify-role-memory-machine-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyu Zhao, Junpeng Wang, Yuzhong Chen, et al.*2026* 120. **[Learning Flexible Large Multimodal Models with Arbitrary Modality Combinations](https://md.research.elamur.ai/free/en/papers/zhao-2026-learning-flexible-large-multimodal-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xinyu Zhao, Kangqi Ni, Jie Peng, et al.*2026* [← prev](https://md.research.elamur.ai/free/en/agglomerations/research-triangle/works/) [1](https://md.research.elamur.ai/free/en/agglomerations/research-triangle/works/) **2** - [← back to](https://md.research.elamur.ai/free/en/agglomerations/research-triangle/) — Research Triangle