Sercan Ö. Arik

Most-cited papers

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Gheorghe Comanici, E. Bieber, Mike Schaekermann, Ice Pasupat +496 more
2025arXiv.org4,448 citations
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Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim, Sercan Ö. Arik, Nicolas Loeff, Tomas Pfister
2019International Journal of Forecasting3,584 citations Open access
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TabNet: Attentive Interpretable Tabular Learning
Sercan Ö. Arik, Tomas Pfister
2019AAAI Conference on Artificial Intelligence2,768 citations Open access
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Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Bowen Jin, Hansi Zeng, Zhenrui Yue, Jinsung Yoon +4 more
2025arXiv.org1,689 citations
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TSMixer: An all-MLP Architecture for Time Series Forecasting
Si-An Chen, Chun-Liang Li, Sercan Ö. Arik, N. Yoder +1 more
2023Trans. Mach. Learn. Res.542 citations Open access
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On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh, Been Kim, Sercan Ö. Arik, Chun-Liang Li +2 more
2019Neural Information Processing Systems395 citations
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TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting
De-Fu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister +3 more
2023International Conference on Learning Representations320 citations Open access
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Chain of Agents: Large Language Models Collaborating on Long-Context Tasks
Yusen Zhang, Ruoxi Sun, Yan-Fei Chen, Tomas Pfister +2 more
2024Neural Information Processing Systems318 citations
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Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
E. Cramer, E. L. Ray, V. Lopez, J. Bracher +291 more
2022Proceedings of the National Academy of Sciences of the United States of America312 citations Open access
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Data Valuation using Reinforcement Learning
Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2019International Conference on Machine Learning262 citations
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Consistency-Based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost
Mingfei Gao, Zizhao Zhang, Guo-Ding Yu, Sercan Ö. Arik +2 more
2019European Conference on Computer Vision247 citations Open access
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CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
Mohammadreza Pourreza, Hailong Li, Ruoxi Sun, Yeounoh Chung +6 more
2024International Conference on Learning Representations238 citations
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Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding
Zi-Zhao Zhang, Han Zhang, Long Zhao, Ting Chen +2 more
2021AAAI Conference on Artificial Intelligence233 citations Open access
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BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi +11 more
2024International Conference on Learning Representations224 citations
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Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG
Bowen Jin, Jinsung Yoon, Jia-Wei Han, Sercan Ö. Arik
2024International Conference on Learning Representations182 citations
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Distilling Effective Supervision From Severe Label Noise
Zizhao Zhang, Han Zhang, Sercan Ö. Arik, Honglak Lee +1 more
2019Computer Vision and Pattern Recognition162 citations Open access
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The United States COVID-19 Forecast Hub dataset
E. Cramer, Yu-Xin Huang, Yi-Jin Wang, E. L. Ray +424 more
2021Scientific Data160 citations Open access
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Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
Han Zhou, Xingchen Wan, Xingchen Wan, Ruoxi Sun +5 more
2025arXiv.org142 citations
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Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning
Sungwon Han, Jinsung Yoon, Sercan Ö. Arik, Tomas Pfister
2024International Conference on Machine Learning126 citations
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SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL
Ruoxi Sun, Sercan Ö. Arik, Alex Muzio, Lesly Miculicich +7 more
2024Trans. Mach. Learn. Res.109 citations Open access
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EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records
Jinsung Yoon, Michel Mizrahi, N. F. Ghalaty, T. Jarvinen +10 more
2023npj Digit. Medicine107 citations Open access
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Interpretable Sequence Learning for COVID-19 Forecasting
Sercan Ö. Arik, Chun-Liang Li, Jinsung Yoon, Rajarishi S. Sinha +11 more
2020Neural Information Processing Systems105 citations
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Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin +2 more
2025International Conference on Learning Representations104 citations
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Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US
E. Cramer, E. L. Ray, V. López, J. Bracher +45 more
2021medRxiv99 citations Open access
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Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL
Mohammadreza Pourreza, Shayan Talaei, Ruoxi Sun, Xingchen Wan +4 more
2025arXiv.org89 citations
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Better Zero-Shot Reasoning with Self-Adaptive Prompting
Xingchen Wan, Ruoxi Sun, Han-Jun Dai, Sercan Ö. Arik +1 more
2023Annual Meeting of the Association for Computational Linguistics86 citations Open access
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Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models
Fei Wang, Xingchen Wan, Ruoxi Sun, Jie-Feng Chen +1 more
2024Annual Meeting of the Association for Computational Linguistics84 citations
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SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)
Ruoxi Sun, Sercan Ö. Arik, Alex Muzio, Lesly Miculicich +7 more
202381 citations
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Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training
Maximillian Chen, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2024International Conference on Learning Representations74 citations
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Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan Ö. Arik +2 more
2023Conference on Empirical Methods in Natural Language Processing71 citations
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MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement
Jaehyun Nam, Jinsung Yoon, Jie-Feng Chen, Jin-Woo Shin +2 more
2025Neural Information Processing Systems66 citations
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ProtoAttend: Attention-Based Prototypical Learning
Sercan Ö. Arik, Tomas Pfister
2019Journal of machine learning research66 citations
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SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling
Jie-Feng Chen, Jie Ren, Xinyun Chen, Chengrun Yang +3 more
2025Trans. Mach. Learn. Res.63 citations
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Effective Large Language Model Adaptation for Improved Grounding and Citation Generation
Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister
2023North American Chapter of the Association for Computational Linguistics60 citations
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Self-Supervised Learning with an Information Maximization Criterion
Serdar Ozsoy, Shadi S. Hamdan, Sercan Ö. Arik, Deniz Yuret +1 more
2022Neural Information Processing Systems54 citations Open access
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Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts
Rui Wang, Yihe Dong, Sercan Ö. Arik, Rose Yu
2022arXiv.org53 citations Open access
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Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment
Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami +2 more
202445 citations
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An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents
Bowen Jin, Jinsung Yoon, Priyanka Kargupta, Sercan Ö. Arik +1 more
2025arXiv.org43 citations
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Distance-Based Learning from Errors for Confidence Calibration
Chen Xing, Sercan Ö. Arik, Zizhao Zhang, Tomas Pfister
2019International Conference on Learning Representations43 citations
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Controlling Neural Networks with Rule Representations
Sungyong Seo, Sercan Ö. Arik, Jinsung Yoon, Xiang Zhang +2 more
2021Neural Information Processing Systems40 citations
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VISTA: A Test-Time Self-Improving Video Generation Agent
Do Xuan Long, Xingchen Wan, Hootan Nakhost, Chen-Yu Lee +2 more
2025arXiv.org38 citations
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Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts
Rui Wang, Yihe Dong, Sercan Ö. Arik, Rose Yu
2023International Conference on Learning Representations38 citations
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Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection
Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan Ö. Arik +2 more
2021Trans. Mach. Learn. Res.37 citations
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Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan Ö. Arik
2024Neural Information Processing Systems36 citations
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A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan
Sercan Ö. Arik, Joel Shor, Rajarishi S. Sinha, Jinsung Yoon +25 more
2021npj Digital Medicine34 citations Open access
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Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series
Sercan Ö. Arik, N. Yoder, Tomas Pfister
2022arXiv.org33 citations
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SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data
Ruoxi Sun, Sercan Ö. Arik, Rajarishi S. Sinha, Hootan Nakhost +3 more
2023Conference on Empirical Methods in Natural Language Processing30 citations
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SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging
Mohammadreza Pourreza, Ruoxi Sun, Hailong Li, Lesly Miculicich +2 more
2024arXiv.org28 citations
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TextGenSHAP: Scalable Post-hoc Explanations in Text Generation with Long Documents
James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan Ö. Arik +2 more
2023Annual Meeting of the Association for Computational Linguistics28 citations
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Decoupling Local and Global Representations of Time Series
S. Tonekaboni, Chun-Liang Li, Sercan Ö. Arik, Anna Goldenberg +1 more
2022International Conference on Artificial Intelligence and Statistics28 citations
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