| 2025 | ACL | Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling. | Maximillian Chen, Ruoxi Sun, Sercan . Arik |
| 2025 | ACL | Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models. | Fei Wang, Xingchen Wan, Ruoxi Sun, Jiefeng Chen, Sercan . Arik |
| 2025 | ACL | Embedding-Converter: A Unified Framework for Cross-Model Embedding Transformation. | Jinsung Yoon, Sercan . Arik |
| 2025 | EMNLP | FLAIRR-TS - Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series. | Gunjan Jalori, Preetika Verma, Sercan . Arik |
| 2025 | EMNLP | SQUARE: Unsupervised Retrieval Adaptation via Synthetic Data. | Jinsung Yoon, Junhao Zeng, Sercan . Arik |
| 2025 | ICLR | Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training. | Maximillian Chen, Ruoxi Sun, Tomas Pfister, Sercan . Arik |
| 2025 | ICLR | Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG. | Bowen Jin, Jinsung Yoon, Jiawei Han, Sercan . Arik |
| 2025 | ICLR | 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 . Arik |
| 2025 | ICLR | Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment. | Pritam Sarkar, Sayna Ebrahimi, Ali Etemad, Ahmad Beirami, Sercan . Arik, Tomas Pfister |
| 2025 | ICLR | 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 . Arik |
| 2025 | ICLR | BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. | Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan . Arik, Danqi Chen, Tao Yu |
| 2025 | ICLR | From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation. | Xingchen Wan, Han Zhou, Ruoxi Sun, Sercan . Arik |
| 2025 | ICML | Retrieval Augmented Time Series Forecasting. | Sungwon Han, Seungeon Lee, Meeyoung Cha, Sercan . Arik, Jinsung Yoon |
| 2025 | ICML | LLM Alignment as Retriever Optimization: An Information Retrieval Perspective. | Bowen Jin, Jinsung Yoon, Zhen Qin, Ziqi Wang, Wei Xiong, Yu Meng, Jiawei Han, Sercan . Arik |
| 2024 | ACL | TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents. | James Enouen, Hootan Nakhost, Sayna Ebrahimi, Sercan . Arik, Yan Liu, Tomas Pfister |
| 2024 | ACL | Search-Adaptor: Embedding Customization for Information Retrieval. | Jinsung Yoon, Yanfei Chen, Sercan . Arik, Tomas Pfister |
| 2024 | ICLR | TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. | Defu Cao, Furong Jia, Sercan . Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu |
| 2024 | ICML | Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning. | Sungwon Han, Jinsung Yoon, Sercan . Arik, Tomas Pfister |
| 2024 | NAACL | Effective Large Language Model Adaptation for Improved Grounding and Citation Generation. | Xi Ye, Ruoxi Sun, Sercan . Arik, Tomas Pfister |
| 2023 | AAAI | Neural Spline Search for Quantile Probabilistic Modeling. | Ruoxi Sun, Chun-Liang Li, Sercan . Arik, Michael W. Dusenberry, Chen-Yu Lee, Tomas Pfister |
| 2023 | ACL | Better Zero-Shot Reasoning with Self-Adaptive Prompting. | Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan . Arik, Tomas Pfister |
| 2023 | EMNLP | Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. | Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan . Arik, Tomas Pfister, Somesh Jha |
| 2023 | EMNLP | SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. | Ruoxi Sun, Sercan . Arik, Rajarishi Sinha, Hootan Nakhost, Hanjun Dai, Pengcheng Yin, Tomas Pfister |
| 2023 | EMNLP | Universal Self-Adaptive Prompting. | Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Eisenschlos, Sercan . Arik, Tomas Pfister |
| 2023 | ICLR | Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts. | Rui Wang, Yihe Dong, Sercan . Arik, Rose Yu |
| 2023 | KDD | Data-Efficient and Interpretable Tabular Anomaly Detection. | Chun-Hao Chang, Jinsung Yoon, Sercan . Arik, Madeleine Udell, Tomas Pfister |
| 2022 | AAAI | Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. | Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan . Arik, Tomas Pfister |
| 2022 | AISTATS | Decoupling Local and Global Representations of Time Series. | Sana Tonekaboni, Chun-Liang Li, Sercan . Arik, Anna Goldenberg, Tomas Pfister |
| 2021 | AAAI | TabNet: Attentive Interpretable Tabular Learning. | Sercan . Arik, Tomas Pfister |