Arik, Sercan O.

32 publications

ICLR 2025 BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Liu Haisu, Quan Shi, Zachary S Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan O Arik, Danqi Chen, Tao Yu

ICLR 2025 CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL Mohammadreza Pourreza, Hailong Li, Ruoxi Sun, Yeounoh Chung, Shayan Talaei, Gaurav Tarlok Kakkar, Yu Gan, Amin Saberi, Fatma Ozcan, Sercan O Arik

ICLR 2025 From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation Xingchen Wan, Han Zhou, Ruoxi Sun, Sercan O Arik

ICML 2025 LLM Alignment as Retriever Optimization: An Information Retrieval Perspective Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan O Arik

TMLR 2025 LLM-Guided Self-Supervised Tabular Learning with Task-Specific Pre-Text Tasks Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan O Arik, Jinsung Yoon

ICLR 2025 Learn-by-Interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments Hongjin Su, Ruoxi Sun, Jinsung Yoon, Pengcheng Yin, Tao Yu, Sercan O Arik

ICLR 2025 Learning to Clarify: Multi-Turn Conversations with Action-Based Contrastive Self-Training Maximillian Chen, Ruoxi Sun, Tomas Pfister, Sercan O Arik

ICLR 2025 Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan O Arik

NeurIPS 2025 MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Jinwoo Shin, Sercan O Arik, Tomas Pfister

ICLR 2025 Mitigating Object Hallucination in MLLMs via Data-Augmented Phrase-Level Alignment Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan O Arik, Tomas Pfister

ICML 2025 Retrieval Augmented Time Series Forecasting Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan O Arik, Jinsung Yoon

TMLR 2025 SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Jinsung Yoon, Sercan O Arik

TMLR 2024 ASPEST: Bridging the Gap Between Active Learning and Selective Prediction Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan O Arik, Somesh Jha, Tomas Pfister

ICML 2024 Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning Sungwon Han, Jinsung Yoon, Sercan O Arik, Tomas Pfister

TMLR 2024 Provable Membership Inference Privacy Zachary Izzo, Jinsung Yoon, Sercan O Arik, James Zou

TMLR 2024 SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL Ruoxi Sun, Sercan O Arik, Alexandre Muzio, Lesly Miculicich, Satya Kesav Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, Tomas Pfister

ICLR 2024 TEMPO: Prompt-Based Generative Pre-Trained Transformer for Time Series Forecasting Defu Cao, Furong Jia, Sercan O Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu

TMLR 2023 Interpretable Mixture of Experts Aya Abdelsalam Ismail, Sercan O Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister

TMLR 2023 Invariant Structure Learning for Better Generalization and Causal Explainability Yunhao Ge, Sercan O Arik, Jinsung Yoon, Ao Xu, Laurent Itti, Tomas Pfister

ICLR 2023 Koopman Neural Operator Forecaster for Time-Series with Temporal Distributional Shifts Rui Wang, Yihe Dong, Sercan O Arik, Rose Yu

AAAI 2023 Neural Spline Search for Quantile Probabilistic Modeling Ruoxi Sun, Chun-Liang Li, Sercan Ö. Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister

TMLR 2023 SPADE: Semi-Supervised Anomaly Detection Under Distribution Mismatch Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O Arik, Tomas Pfister

TMLR 2023 TSMixer: An All-MLP Architecture for Time Series Forecast-Ing Si-An Chen, Chun-Liang Li, Sercan O Arik, Nathanael Christian Yoder, Tomas Pfister

TMLR 2023 Test-Time Adaptation for Visual Document Understanding Sayna Ebrahimi, Sercan O Arik, Tomas Pfister

AISTATS 2022 Decoupling Local and Global Representations of Time Series Sana Tonekaboni, Chun-Liang Li, Sercan O. Arik, Anna Goldenberg, Tomas Pfister

TMLR 2022 LIMIS: Locally Interpretable Modeling Using Instance-Wise Subsampling Jinsung Yoon, Sercan O Arik, Tomas Pfister

AAAI 2022 Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik, Tomas Pfister

NeurIPSW 2022 Provable Membership Inference Privacy Zachary Izzo, Jinsung Yoon, Sercan O Arik, James Zou

TMLR 2022 Self-Supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O Arik, Chen-Yu Lee, Tomas Pfister

AAAI 2021 TabNet: Attentive Interpretable Tabular Learning Sercan Ö. Arik, Tomas Pfister

JMLR 2020 ProtoAttend: Attention-Based Prototypical Learning Sercan O. Arik, Tomas Pfister

ICLR 2018 Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan O. Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller