ML Anthology

Arik, Sercan O.

37 publications

ICLR 2026 ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality Shayne Longpre, Sneha Kudugunta, Niklas Muennighoff, I-Hung Hsu, Isaac Rayburn Caswell, Alex Pentland, Sercan O Arik, Chen-Yu Lee, Sayna Ebrahimi
TMLR 2026 Adversarial Attacks on Multimodal Large Language Models: A Comprehensive Survey Bhavuk Jain, Sercan O Arik, Hardeo Kumar Thakur
ICLR 2026 CoDA: Agentic Systems for Collaborative Data Visualization Zichen Chen, Jiefeng Chen, Sercan O Arik, Misha Sra, Tomas Pfister, Jinsung Yoon
ICLR 2026 Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies Han Zhou, Xingchen Wan, Ruoxi Sun, Hamid Palangi, Shariq Iqbal, Ivan Vulić, Anna Korhonen, Sercan O Arik
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
CVPR 2020 Distilling Effective Supervision from Severe Label Noise Zizhao Zhang, Han Zhang, Sercan O. Arik, Honglak Lee, 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