Speech Emotion Classification and Public Speaking Skill Assessment. - Tomas Pfister; Peter Robinson 001 (HBU, 2010)

Recognising spontaneous facial micro-expressions. - Tomas Pfister; Xiaobai Li; Guoying Zhao 001; Matti Pietikäinen (ICCV, 2011)

Differentiating spontaneous from posed facial expressions within a generic facial expression recognition framework. - Tomas Pfister; Xiaobai Li; Guoying Zhao 001; Matti Pietikäinen (ICCV Workshops, 2011)

Real-Time Recognition of Affective States from Nonverbal Features of Speech and Its Application for Public Speaking Skill Analysis. - Tomas Pfister; Peter Robinson 001 (IEEE Trans. Affect. Comput., 2011)

Automatic and Efficient Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts. - Tomas Pfister; James Charles; Mark Everingham; Andrew Zisserman (BMVC, 2012)

Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts. - James Charles; Tomas Pfister; Derek R. Magee; David C. Hogg; Andrew Zisserman (BMVC, 2013)

Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences). - Tomas Pfister; James Charles; Andrew Zisserman (BMVC, 2013)

A Spontaneous Micro-expression Database: Inducement, collection and baseline. - Xiaobai Li; Tomas Pfister; Xiaohua Huang; Guoying Zhao 001; Matti Pietikäinen (FG, 2013)

Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos. - Tomas Pfister; Karen Simonyan; James Charles; Andrew Zisserman (ACCV (1), 2014)

Upper Body Pose Estimation with Temporal Sequential Forests. - James Charles; Tomas Pfister; Derek R. Magee; David C. Hogg; Andrew Zisserman (BMVC, 2014)

Domain-Adaptive Discriminative One-Shot Learning of Gestures. - Tomas Pfister; James Charles; Andrew Zisserman (ECCV (6), 2014)

Automatic and Efficient Human Pose Estimation for Sign Language Videos. - James Charles; Tomas Pfister; Mark Everingham; Andrew Zisserman (Int. J. Comput. Vis., 2014)

Flowing ConvNets for Human Pose Estimation in Videos. - Tomas Pfister; James Charles; Andrew Zisserman (ICCV, 2015)

Reading Hidden Emotions: Spontaneous Micro-expression Spotting and Recognition. - Xiaobai Li; Xiaopeng Hong; Antti Moilanen; Xiaohua Huang; Tomas Pfister; Guoying Zhao 001; Matti Pietikäinen (CoRR, 2015)

Advancing human pose and gesture recognition. - Tomas Pfister (2015)

Personalizing Human Video Pose Estimation. - James Charles; Tomas Pfister; Derek R. Magee; David C. Hogg; Andrew Zisserman (CVPR, 2016)

Learning from Simulated and Unsupervised Images through Adversarial Training. - Ashish Shrivastava 001; Tomas Pfister; Oncel Tuzel; Joshua Susskind; Wenda Wang; Russell Webb (CVPR, 2017)

Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods. - Xiaobai Li; Xiaopeng Hong; Antti Moilanen; Xiaohua Huang; Tomas Pfister; Guoying Zhao 001; Matti Pietikäinen (IEEE Trans. Affect. Comput., 2018)

Inserting Videos Into Videos. - Donghoon Lee 004; Tomas Pfister; Ming-Hsuan Yang 001 (CVPR, 2019)

Generative Modeling for Small-Data Object Detection. - Lanlan Liu; Michael Muelly; Jia Deng 001; Tomas Pfister; Li-Jia Li 001 (ICCV, 2019)

Harmonic Unpaired Image-to-image Translation. - Rui Zhang; Tomas Pfister; Jia Li (ICLR (Poster), 2019)

Attention-Based Prototypical Learning Towards Interpretable, Confident and Robust Deep Neural Networks. - Sercan Ömer Arik; Tomas Pfister (CoRR, 2019)

Learning to Transfer Learn. - Linchao Zhu; Sercan Ömer Arik; Yi Yang 001; Tomas Pfister (CoRR, 2019)

A Simple yet Effective Baseline for Robust Deep Learning with Noisy Labels. - Yucen Luo; Jun Zhu 001; Tomas Pfister (CoRR, 2019)

RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling. - Jinsung Yoon; Sercan Ömer Arik; Tomas Pfister (CoRR, 2019)

IEG: Robust Neural Network Training to Tackle Severe Label Noise. - Zizhao Zhang; Han Zhang 010; Sercan Ömer Arik; Honglak Lee; Tomas Pfister (CoRR, 2019)

On Concept-Based Explanations in Deep Neural Networks. - Chih-Kuan Yeh; Been Kim; Sercan Ömer Arik; Chun-Liang Li; Pradeep Ravikumar; Tomas Pfister (CoRR, 2019)

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting. - Bryan Lim; Sercan Ömer Arik; Nicolas Loeff; Tomas Pfister (CoRR, 2019)

Distilling Effective Supervision From Severe Label Noise. - Zizhao Zhang; Han Zhang 010; Sercan Ömer Arik; Honglak Lee; Tomas Pfister (CVPR, 2020)

Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. - Mingfei Gao; Zizhao Zhang; Guo Yu; Sercan Ömer Arik; Larry S. Davis; Tomas Pfister (ECCV (10), 2020)

Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning. - Linchao Zhu; Sercan Ömer Arik; Yi Yang 001; Tomas Pfister (ECCV (27), 2020)

Distance-Based Learning from Errors for Confidence Calibration. - Chen Xing; Sercan Ömer Arik; Zizhao Zhang; Tomas Pfister (ICLR, 2020)

Data Valuation using Reinforcement Learning. - Jinsung Yoon; Sercan Ömer Arik; Tomas Pfister (ICML, 2020)

Interpretable Sequence Learning for Covid-19 Forecasting. - Sercan Ömer Arik; Chun-Liang Li; Jinsung Yoon; Rajarishi Sinha; Arkady Epshteyn; Long T. Le; Vikas Menon; Shashank Singh 005; Leyou Zhang; Martin Nikoltchev; Yash Sonthalia; Hootan Nakhost; et al. (NeurIPS, 2020)

Differentiable Top-k with Optimal Transport. - Yujia Xie; Hanjun Dai; Minshuo Chen; Bo Dai 001; Tuo Zhao; Hongyuan Zha; Wei Wei 019; Tomas Pfister (NeurIPS, 2020)

On Completeness-aware Concept-Based Explanations in Deep Neural Networks. - Chih-Kuan Yeh; Been Kim; Sercan Ömer Arik; Chun-Liang Li; Tomas Pfister; Pradeep Ravikumar (NeurIPS, 2020)

Differentiable Top-k Operator with Optimal Transport. - Yujia Xie; Hanjun Dai; Minshuo Chen; Bo Dai 001; Tuo Zhao; Hongyuan Zha; Wei Wei 019; Tomas Pfister (CoRR, 2020)

A Simple Semi-Supervised Learning Framework for Object Detection. - Kihyuk Sohn; Zizhao Zhang; Chun-Liang Li; Han Zhang 010; Chen-Yu Lee; Tomas Pfister (CoRR, 2020)

Interpretable Sequence Learning for COVID-19 Forecasting. - Sercan Ömer Arik; Chun-Liang Li; Jinsung Yoon; Rajarishi Sinha; Arkady Epshteyn; Long T. Le; Vikas Menon; Shashank Singh 005; Leyou Zhang; Nate Yoder; Martin Nikoltchev; Yash Sonthalia; et al. (CoRR, 2020)

ProtoAttend: Attention-Based Prototypical Learning. - Sercan Ömer Arik; Tomas Pfister (J. Mach. Learn. Res., 2020)

TabNet: Attentive Interpretable Tabular Learning. - Sercan Ö. Arik; Tomas Pfister (AAAI, 2021)

ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction. - Chen-Yu Lee; Chun-Liang Li; Chu Wang; Renshen Wang; Yasuhisa Fujii; Siyang Qin; Ashok C. Popat; Tomas Pfister (ACL/IJCNLP (2), 2021)

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. - Chun-Liang Li; Kihyuk Sohn; Jinsung Yoon; Tomas Pfister (CVPR, 2021)

Learning Fast Sample Re-weighting Without Reward Data. - Zizhao Zhang; Tomas Pfister (ICCV, 2021)

Learning and Evaluating Representations for Deep One-Class Classification. - Kihyuk Sohn; Chun-Liang Li; Jinsung Yoon; Minho Jin; Tomas Pfister (ICLR, 2021)

PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. - Yuliang Zou; Zizhao Zhang; Han Zhang 010; Chun-Liang Li; Xiao Bian; Jia-Bin Huang 001; Tomas Pfister (ICLR, 2021)

Controlling Neural Networks with Rule Representations. - Sungyong Seo; Sercan Ö. Arik; Jinsung Yoon; Xiang Zhang; Kihyuk Sohn; Tomas Pfister (NeurIPS, 2021)

Aggregating Nested Transformers. - Zizhao Zhang; Han Zhang 010; Long Zhao 003; Ting Chen 001; Tomas Pfister (CoRR, 2021)

Self-Trained One-class Classification for Unsupervised Anomaly Detection. - Jinsung Yoon; Kihyuk Sohn; Chun-Liang Li; Sercan Ö. Arik; Chen-Yu Lee; Tomas Pfister (CoRR, 2021)

A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan. - Sercan Ö. Arik; Joel Shor; Rajarishi Sinha; Jinsung Yoon; Joseph R. Ledsam; Long T. Le; Michael W. Dusenberry; Nathanael C. Yoder; Kris Popendorf; Arkady Epshteyn; Johan Euphrosine; Elli Kanal; et al. (npj Digit. Medicine, 2021)

Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts. - Kunpeng Li; Zizhao Zhang; Guanhang Wu; Xuehan Xiong; Chen-Yu Lee; Zhichao Lu; Yun Fu 001; Tomas Pfister (AAAI, 2022)

Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding. - Zizhao Zhang; Han Zhang 010; Long Zhao 003; Ting Chen 001; Sercan Ö. Arik; Tomas Pfister (AAAI, 2022)

FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction. - Chen-Yu Lee; Chun-Liang Li; Timothy Dozat; Vincent Perot; Guolong Su; Nan Hua; Joshua Ainslie; Renshen Wang; Yasuhisa Fujii; Tomas Pfister (ACL (1), 2022)

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

Learning to Prompt for Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Chen-Yu Lee; Han Zhang 010; Ruoxi Sun 002; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (CVPR, 2022)

DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. - Zifeng Wang 002; Zizhao Zhang; Sayna Ebrahimi; Ruoxi Sun 002; Han Zhang 010; Chen-Yu Lee; Xiaoqi Ren; Guolong Su; Vincent Perot; Jennifer G. Dy; Tomas Pfister (ECCV (26), 2022)

Learning Instance-Specific Adaptation for Cross-Domain Segmentation. - Yuliang Zou; Zizhao Zhang; Chun-Liang Li; Han Zhang 010; Tomas Pfister; Jia-Bin Huang 001 (ECCV (33), 2022)

Towards Group Robustness in the presence of Partial Group Labels. - Vishnu Suresh Lokhande; Kihyuk Sohn; Jinsung Yoon; Madeleine Udell; Chen-Yu Lee; Tomas Pfister (CoRR, 2022)

Self-Adaptive Forecasting for Improved Deep Learning on Non-Stationary Time-Series. - Sercan Ö. Arik; Nathanael C. Yoder; Tomas Pfister (CoRR, 2022)

Interpretable Mixture of Experts for Structured Data. - Aya Abdelsalam Ismail; Sercan Ö. Arik; Jinsung Yoon; Ankur Taly; Soheil Feizi; Tomas Pfister (CoRR, 2022)

Algorithmic fairness in pandemic forecasting: lessons from COVID-19. - Thomas C. Tsai; Sercan Ö. Arik; Benjamin H. Jacobson; Jinsung Yoon; Nate Yoder; Dario Sava; Margaret Mitchell; Garth Graham; Tomas Pfister (npj Digit. Medicine, 2022)

LIMIS: Locally Interpretable Modeling using Instance-wise Subsampling. - Jinsung Yoon; Sercan Ö. Arik; Tomas Pfister (Trans. Mach. Learn. Res., 2022)

Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection. - Jinsung Yoon; Kihyuk Sohn; Chun-Liang Li; Sercan Ö. Arik; Chen-Yu Lee; Tomas Pfister (Trans. Mach. Learn. Res., 2022)

Neural Spline Search for Quantile Probabilistic Modeling. - Ruoxi Sun 002; Chun-Liang Li; Sercan Ö. Arik; Michael W. Dusenberry; Chen-Yu Lee; Tomas Pfister (AAAI, 2023)

QueryForm: A Simple Zero-shot Form Entity Query Framework. - Zifeng Wang 002; Zizhao Zhang; Jacob Devlin; Chen-Yu Lee; Guolong Su; Hao Zhang; Jennifer G. Dy; Vincent Perot; Tomas Pfister (ACL (Findings), 2023)

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes. - Cheng-Yu Hsieh; Chun-Liang Li; Chih-Kuan Yeh; Hootan Nakhost; Yasuhisa Fujii; Alex Ratner; Ranjay Krishna; Chen-Yu Lee; Tomas Pfister (ACL (Findings), 2023)

FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction. - Chen-Yu Lee; Chun-Liang Li; Hao Zhang; Timothy Dozat; Vincent Perot; Guolong Su; Xiang Zhang; Kihyuk Sohn; Nikolay Glushnev; Renshen Wang; Joshua Ainslie; Shangbang Long; et al. (ACL (1), 2023)

Better Zero-Shot Reasoning with Self-Adaptive Prompting. - Xingchen Wan; Ruoxi Sun 002; Hanjun Dai; Sercan Ö. Arik; Tomas Pfister (ACL (Findings), 2023)

Prefix Conditioning Unifies Language and Label Supervision. - Kuniaki Saito; Kihyuk Sohn; Xiang Zhang; Chun-Liang Li; Chen-Yu Lee; Kate Saenko; Tomas Pfister (CVPR, 2023)

Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval. - Kuniaki Saito; Kihyuk Sohn; Xiang Zhang; Chun-Liang Li; Chen-Yu Lee; Kate Saenko; Tomas Pfister (CVPR, 2023)

Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs. - Jiefeng Chen 001; Jinsung Yoon; Sayna Ebrahimi; Sercan Ö. Arik; Tomas Pfister; Somesh Jha (EMNLP (Findings), 2023)

SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data. - Ruoxi Sun 002; Sercan Ö. Arik; Rajarishi Sinha; Hootan Nakhost; Hanjun Dai; Pengcheng Yin; Tomas Pfister (EMNLP (Findings), 2023)

Universal Self-Adaptive Prompting. - Xingchen Wan; Ruoxi Sun 002; Hootan Nakhost; Hanjun Dai; Julian Eisenschlos; Sercan Ö. Arik; Tomas Pfister (EMNLP, 2023)

Data-Efficient and Interpretable Tabular Anomaly Detection. - Chun-Hao Chang; Jinsung Yoon; Sercan Ö. Arik; Madeleine Udell; Tomas Pfister (KDD, 2023)

Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning. - Justin Lazarow; Kihyuk Sohn; Chen-Yu Lee; Chun-Liang Li; Zizhao Zhang; Tomas Pfister (WACV, 2023)

Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. - Kihyuk Sohn; Jinsung Yoon; Chun-Liang Li; Chen-Yu Lee; Tomas Pfister (WACV, 2023)

TSMixer: An all-MLP Architecture for Time Series Forecasting. - Si-An Chen; Chun-Liang Li; Nate Yoder; Sercan Ö. Arik; Tomas Pfister (CoRR, 2023)

LANISTR: Multimodal Learning from Structured and Unstructured Data. - Sayna Ebrahimi; Sercan Ö. Arik; Yihe Dong; Tomas Pfister (CoRR, 2023)

SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL. - Ruoxi Sun 002; Sercan Ö. Arik; Hootan Nakhost; Hanjun Dai; Rajarishi Sinha; Pengcheng Yin; Tomas Pfister (CoRR, 2023)

Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models. - Cheng-Yu Hsieh; Si-An Chen; Chun-Liang Li; Yasuhisa Fujii; Alexander Ratner; Chen-Yu Lee; Ranjay Krishna; Tomas Pfister (CoRR, 2023)

PAITS: Pretraining and Augmentation for Irregularly-Sampled Time Series. - Nicasia Beebe-Wang; Sayna Ebrahimi; Jinsung Yoon; Sercan Ö. Arik; Tomas Pfister (CoRR, 2023)

Search-Adaptor: Text Embedding Customization for Information Retrieval. - Jinsung Yoon; Sercan Ö. Arik; Yanfei Chen; Tomas Pfister (CoRR, 2023)

COSTAR: Improved Temporal Counterfactual Estimation with Self-Supervised Learning. - Chuizheng Meng; Yihe Dong; Sercan Ö. Arik; Yan Liu 002; Tomas Pfister (CoRR, 2023)

Effective Large Language Model Adaptation for Improved Grounding. - Xi Ye; Ruoxi Sun 002; Sercan Ö. Arik; Tomas Pfister (CoRR, 2023)

EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records. - Jinsung Yoon; Michel J. Mizrahi; Nahid Farhady Ghalaty; Thomas Jarvinen; Ashwin S. Ravi; Peter Brune; Fanyu Kong; Dave Anderson; George Lee; Arie Meir; Farhana Bandukwala; Elli Kanal; et al. (npj Digit. Medicine, 2023)

TSMixer: An All-MLP Architecture for Time Series Forecast-ing. - Si-An Chen; Chun-Liang Li; Sercan Ö. Arik; Nathanael C. Yoder; Tomas Pfister (Trans. Mach. Learn. Res., 2023)

Test-Time Adaptation for Visual Document Understanding. - Sayna Ebrahimi; Sercan Ö. Arik; Tomas Pfister (Trans. Mach. Learn. Res., 2023)

Invariant Structure Learning for Better Generalization and Causal Explainability. - Yunhao Ge; Sercan Ö. Arik; Jinsung Yoon; Ao Xu; Laurent Itti; Tomas Pfister (Trans. Mach. Learn. Res., 2023)

Interpretable Mixture of Experts. - Aya Abdelsalam Ismail; Sercan Ö. Arik; Jinsung Yoon; Ankur Taly; Soheil Feizi; Tomas Pfister (Trans. Mach. Learn. Res., 2023)

SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch. - Jinsung Yoon; Kihyuk Sohn; Chun-Liang Li; Sercan Ö. Arik; Tomas Pfister (Trans. Mach. Learn. Res., 2023)

TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents. - James Enouen; Hootan Nakhost; Sayna Ebrahimi; Sercan Ö. Arik; Yan Liu 002; Tomas Pfister (ACL (Findings), 2024)

Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization. - Cheng-Yu Hsieh; Yung-Sung Chuang; Chun-Liang Li; Zifeng Wang 002; Long T. Le; Abhishek Kumar; James R. Glass; Alexander Ratner; Chen-Yu Lee; Ranjay Krishna; Tomas Pfister (ACL (Findings), 2024)

CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. - I-Hung Hsu; Zifeng Wang 002; Long T. Le; Lesly Miculicich; Nanyun Peng 001; Chen-Yu Lee; Tomas Pfister (ACL (Findings), 2024)

Search-Adaptor: Embedding Customization for Information Retrieval. - Jinsung Yoon; Yanfei Chen; Sercan Ö. Arik; Tomas Pfister (ACL (1), 2024)

Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval. - Yanfei Chen; Jinsung Yoon; Devendra Singh Sachan; Qingze Wang; Vincent Cohen-Addad; MohammadHossein Bateni; Chen-Yu Lee; Tomas Pfister (EMNLP (Findings), 2024)

Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions. - Jinsung Yoon; Rajarishi Sinha; Sercan Ömer Arik; Tomas Pfister (EMNLP, 2024)

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. - Zilong Wang 002; Hao Zhang; Chun-Liang Li; Julian Martin Eisenschlos; Vincent Perot; Zifeng Wang 002; Lesly Miculicich; Yasuhisa Fujii; Jingbo Shang; Chen-Yu Lee; Tomas Pfister (ICLR, 2024)

TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. - Defu Cao; Furong Jia 002; Sercan Ö. Arik; Tomas Pfister; Yixiang Zheng; Wen Ye 001; Yan Liu 002 (ICLR, 2024)

Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning. - Sungwon Han 001; Jinsung Yoon; Sercan Ö. Arik; Tomas Pfister (ICML, 2024)

CodecLM: Aligning Language Models with Tailored Synthetic Data. - Zifeng Wang 002; Chun-Liang Li; Vincent Perot; Long T. Le; Jin Miao; Zizhao Zhang; Chen-Yu Lee; Tomas Pfister (NAACL-HLT (Findings), 2024)

Effective Large Language Model Adaptation for Improved Grounding and Citation Generation. - Xi Ye; Ruoxi Sun 002; Sercan Ö. Arik; Tomas Pfister (NAACL-HLT, 2024)

TableRAG: Million-Token Table Understanding with Language Models. - Si-An Chen; Lesly Miculicich; Julian Eisenschlos; Zifeng Wang 002; Zilong Wang 002; Yanfei Chen; Yasuhisa Fujii; Hsuan-Tien Lin; Chen-Yu Lee; Tomas Pfister (NeurIPS, 2024)

Chain of Agents: Large Language Models Collaborating on Long-Context Tasks. - Yusen Zhang 001; Ruoxi Sun 002; Yanfei Chen; Tomas Pfister; Rui Zhang 037; Sercan Ö. Arik (NeurIPS, 2024)

Mitigating Object Hallucination via Data Augmented Contrastive Tuning. - Pritam Sarkar; Sayna Ebrahimi; Ali Etemad; Ahmad Beirami; Sercan Ö. Arik; Tomas Pfister (CoRR, 2024)

Learned Feature Importance Scores for Automated Feature Engineering. - Yihe Dong; Sercan Ö. Arik; Nathanael C. Yoder; Tomas Pfister (CoRR, 2024)

CROME: Cross-Modal Adapters for Efficient Multimodal LLM. - Sayna Ebrahimi; Sercan Ö. Arik; Tejas Nama; Tomas Pfister (CoRR, 2024)

SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging. - Mohammadreza Pourreza; Ruoxi Sun 002; Hailong Li; Lesly Miculicich; Tomas Pfister; Sercan Ö. Arik (CoRR, 2024)

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. - Shangbin Feng; Zifeng Wang 002; Yike Wang 002; Sayna Ebrahimi; Hamid Palangi; Lesly Miculicich; Achin Kulshrestha; Nathalie Rauschmayr; Yejin Choi 001; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2024)

ASPEST: Bridging the Gap Between Active Learning and Selective Prediction. - Jiefeng Chen 001; Jinsung Yoon; Sayna Ebrahimi; Sercan Ö. Arik; Somesh Jha; Tomas Pfister (Trans. Mach. Learn. Res., 2024)

SQL-PaLM: Improved large language model adaptation for Text-to-SQL. - Ruoxi Sun 002; Sercan Ö. Arik; Alexandre Muzio; Lesly Miculicich; Satya Kesav Gundabathula; Pengcheng Yin; Hanjun Dai; Hootan Nakhost; Rajarishi Sinha; Zifeng Wang 002; Tomas Pfister (Trans. Mach. Learn. Res., 2024)

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. - Zhen Tan 001; Jun Yan; I-Hung Hsu; Rujun Han; Zifeng Wang 002; Long T. Le; Yiwen Song; Yanfei Chen; Hamid Palangi; George Lee; Anand Rajan Iyer; Tianlong Chen 001; et al. (ACL (1), 2025)

Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. - Fan Yin; Zifeng Wang 002; I-Hung Hsu; Jun Yan; Ke Jiang; Yanfei Chen; Jindong Gu; Long T. Le; Kai-Wei Chang; Chen-Yu Lee; Hamid Palangi; Tomas Pfister (ACL (1), 2025)

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. - Zilong Wang 002; Zifeng Wang 002; Long T. Le; Huaixiu Steven Zheng; Swaroop Mishra; Vincent Perot; Yuwei Zhang 001; Anush Mattapalli; Ankur Taly; Jingbo Shang; Chen-Yu Lee; Tomas Pfister (ICLR, 2025)

Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training. - Maximillian Chen; Ruoxi Sun 002; Tomas Pfister; Sercan Ö. Arik (ICLR, 2025)

Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment. - Pritam Sarkar; Sayna Ebrahimi; Ali Etemad; Ahmad Beirami; Sercan Ö. Arik; Tomas Pfister (ICLR, 2025)

Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling. - Wenda Xu; Rujun Han; Zifeng Wang 002; Long T. Le; Dhruv Madeka; Lei Li 005; William Yang Wang; Rishabh Agarwal; Chen-Yu Lee; Tomas Pfister (ICLR, 2025)

Reverse Thinking Makes LLMs Stronger Reasoners. - Justin Chih-Yao Chen; Zifeng Wang 002; Hamid Palangi; Rujun Han; Sayna Ebrahimi; Long T. Le; Vincent Perot; Swaroop Mishra; Mohit Bansal; Chen-Yu Lee; Tomas Pfister (NAACL (Long Papers), 2025)

When One LLM Drools, Multi-LLM Collaboration Rules. - Shangbin Feng; Wenxuan Ding 001; Alisa Liu; Zifeng Wang 002; Weijia Shi; Yike Wang 002; Zejiang Shen 001; Xiaochuang Han; Hunter Lang; Chen-Yu Lee; Tomas Pfister; Yejin Choi 001; et al. (CoRR, 2025)

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems. - Shangbin Feng; Zifeng Wang 002; Palash Goyal; Yike Wang 002; Weijia Shi; Huang Xia; Hamid Palangi; Luke Zettlemoyer; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2025)

PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving. - Mihir Parmar; Xin Liu; Palash Goyal; Yanfei Chen; Long T. Le; Swaroop Mishra; Hossein Mobahi; Jindong Gu; Zifeng Wang 002; Hootan Nakhost; Chitta Baral; Chen-Yu Lee; et al. (CoRR, 2025)

Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection. - Souradip Chakraborty; Mohammadreza Pourreza; Ruoxi Sun 002; Yiwen Song; Nino Scherrer; Furong Huang; Amrit Singh Bedi; Ahmad Beirami; Jindong Gu; Hamid Palangi; Tomas Pfister (CoRR, 2025)

MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement. - Jaehyun Nam; Jinsung Yoon; Jiefeng Chen 001; Jinwoo Shin; Sercan Ö. Arik; Tomas Pfister (CoRR, 2025)

PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving. - Mihir Parmar; Palash Goyal; Xin Liu; Yiwen Song; Mingyang Ling; Chitta Baral; Hamid Palangi; Tomas Pfister (CoRR, 2025)

Deep Researcher with Test-Time Diffusion. - Rujun Han; Yanfei Chen; Zoey CuiZhu; Lesly Miculicich; Guan Sun; Yuanjun Bi; Weiming Wen; Hui Wan; Chunfeng Wen; Solène Maître; George Lee; Vishy Tirumalashetty; et al. (CoRR, 2025)

Towards Compute-Optimal Many-Shot In-Context Learning. - Shahriar Golchin; Yanfei Chen; Rujun Han; Manan Gandhi; Tianli Yu; Swaroop Mishra; Mihai Surdeanu; Rishabh Agarwal; Chen-Yu Lee; Tomas Pfister (CoRR, 2025)