🧑‍🔬 Who cites Jayanth Srinivasa

100 citations of their works from 87 papers of our library (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← Jayanth Srinivasa

1. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
2. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
3. The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1International Joint Conference on Natural Language Processing (IJCNLP)Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, et al.2025 · 30 citations
4. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
5. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations
6. SafeKey: Amplifying Aha-Moment Insights for Safety ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Kaiwen Zhou, Xuandong Zhao, Jayanth Srinivasa, et al.2025 · 9 citations
7. VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Bingrui Sima, Linhua Cong, Wenxuan Wang, et al.2025 · 9 citations
8. ReCreate: Reasoning and Creating Domain Agents Driven by ExperienceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Jian Luo, et al.2026 · 8 citations
9. Reinforcement Learning for Self-Improving Agent with Skill LibraryAnnual Meeting of the Association for Computational Linguistics (ACL)Jiongxiao Wang, Qiaojing Yan, Yawei Wang, et al.2026 · 8 citations
10. Red Teaming Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Chen, Yang Yang, Chao Yu, et al.2026 · 7 citations
11. Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response AssistanceAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Ma, Chang Guo, Zhiheng Tian, et al.2026 · 5 citations
12. A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Shuzheng Si, Haozhe Zhao, Kangyang Luo, et al.2026 · 4 citations
13. Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Hsiung, Tianyu Pang, Yung-Chen Tang, et al.2026 · 4 citations
14. Reasoning Up the Instruction Ladder for Controllable Language ModelsFindings of the Association for Computational LinguisticsZishuo Zheng, Vidhisha Balachandran, Chan Young Park, et al.2026 · 1 citation
15. ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha MomentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuquan Wang, Mi Zhang, Yining Wang, et al.2026 · 1 citation
16. When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning ModelsFindings of the Association for Computational LinguisticsYingzhi Mao, Chunkang Zhang, Junxiang Wang, et al.2026 · 1 citation
17. Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and BenchmarkFindings of the Association for Computational LinguisticsZihan Luo, Hong Huang, Jianxun Lian, et al.2026
18. Don't Just Listen, Try Planning: Graph-based Retrieval-Generation Agent for Long-form Audio Meeting UnderstandingFindings of the Association for Computational LinguisticsQuanwei Tang, Dong Zhang, Shoushan Li, et al.2026
19. LegalChainReasoner: Grounding Criminal Judicial Opinion Generation via Structured Legal ChainsAnnual Meeting of the Association for Computational Linguistics (ACL)Weizhe Shi, Qiqi Wang, Yihong Pan, et al.2026
20. Multimodal LLMs Do Not Compose Skills Optimally across ModalitiesLanguage Resources and Evaluation Conference (LREC)Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune2026
21. What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yujie Luo, Zhuoyun Yu, Xuehai Wang, et al.2026

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

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jayanth-srinivasa/cited-by/