Tomas Pfister
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
69
Venues
16
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
69 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | When One LLM Drools, Multi-LLM Collaboration Rules. | Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Shannon Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov |
| 2026 | ACL | DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding. | Dawei Zhu, Rui Meng, Jiefeng Chen, Sujian Li, Tomas Pfister, Jinsung Yoon |
| 2026 | EACL | SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback. | Fangyuan Xu, Rujun Han, Yanfei Chen, Zifeng Wang, I-Hung Hsu, Jun Yan, Vishy Tirumalashetty, Eunsol Choi, Tomas Pfister, Chen-Yu Lee |
| 2025 | ACL | In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents. | Zhen Tan, Jun Yan, I-Hung Hsu, Rujun Han, Zifeng Wang, Long T. Le, Yiwen Song, Yanfei Chen, Hamid Palangi, George Lee, Anand Rajan Iyer, Tianlong Chen, Huan Liu, Chen-Yu Lee, Tomas Pfister |
| 2025 | ACL | Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. | Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | 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, Hootan Nakhost, Chitta Baral, Chen-Yu Lee, Tomas Pfister, Hamid Palangi |
| 2025 | ICLR | Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting. | Zilong Wang, Zifeng Wang, Long T. Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister |
| 2025 | ICLR | Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training. | Maximillian Chen, Ruoxi Sun, Tomas Pfister, 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 | Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling. | Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister |
| 2025 | ICML | Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. | Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister |
| 2025 | NAACL | Reverse Thinking Makes LLMs Stronger Reasoners. | Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long T. Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister |
| 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 | Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization. | Cheng-Yu Hsieh, Yung-Sung Chuang, Chun-Liang Li, Zifeng Wang, Long T. Le, Abhishek Kumar, James R. Glass, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister |
| 2024 | ACL | CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation. | I-Hung Hsu, Zifeng Wang, Long T. Le, Lesly Miculicich, Nanyun Peng, Chen-Yu Lee, Tomas Pfister |
| 2024 | ACL | Search-Adaptor: Embedding Customization for Information Retrieval. | Jinsung Yoon, Yanfei Chen, Sercan . Arik, Tomas Pfister |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions. | Jinsung Yoon, Rajarishi Sinha, Sercan mer Arik, Tomas Pfister |
| 2024 | ICLR | Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding. | Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, 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 | CodecLM: Aligning Language Models with Tailored Synthetic Data. | Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, 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 | QueryForm: A Simple Zero-shot Form Entity Query Framework. | Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister |
| 2023 | ACL | 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 |
| 2023 | ACL | 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, Siyang Qin, Yasuhisa Fujii, Nan Hua, Tomas Pfister |
| 2023 | ACL | Better Zero-Shot Reasoning with Self-Adaptive Prompting. | Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan . Arik, Tomas Pfister |
| 2023 | CVPR | Prefix Conditioning Unifies Language and Label Supervision. | Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister |
| 2023 | CVPR | 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 |
| 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 | KDD | Data-Efficient and Interpretable Tabular Anomaly Detection. | Chun-Hao Chang, Jinsung Yoon, Sercan . Arik, Madeleine Udell, Tomas Pfister |
| 2023 | WACV | 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 |
| 2023 | WACV | Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types. | Kihyuk Sohn, Jinsung Yoon, Chun-Liang Li, Chen-Yu Lee, Tomas Pfister |
| 2022 | AAAI | 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, 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 | ACL | 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 |
| 2022 | AISTATS | Decoupling Local and Global Representations of Time Series. | Sana Tonekaboni, Chun-Liang Li, Sercan . Arik, Anna Goldenberg, Tomas Pfister |
| 2022 | CVPR | Learning to Prompt for Continual Learning. | Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister |
| 2022 | ECCV | DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning. | Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister |
| 2022 | ECCV | Learning Instance-Specific Adaptation for Cross-Domain Segmentation. | Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang |
| 2021 | AAAI | TabNet: Attentive Interpretable Tabular Learning. | Sercan . Arik, Tomas Pfister |
| 2021 | ACL | 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 |
| 2021 | CVPR | CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. | Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister |
| 2021 | ICCV | Learning Fast Sample Re-weighting Without Reward Data. | Zizhao Zhang, Tomas Pfister |
| 2021 | ICLR | Learning and Evaluating Representations for Deep One-Class Classification. | Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister |
| 2021 | ICLR | PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. | Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister |
| 2020 | CVPR | Distilling Effective Supervision From Severe Label Noise. | Zizhao Zhang, Han Zhang, Sercan mer Arik, Honglak Lee, Tomas Pfister |
| 2020 | ECCV | Consistency-Based Semi-supervised Active Learning: Towards Minimizing Labeling Cost. | Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan mer Arik, Larry S. Davis, Tomas Pfister |
| 2020 | ECCV | Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning. | Linchao Zhu, Sercan mer Arik, Yi Yang, Tomas Pfister |
| 2020 | ICLR | Distance-Based Learning from Errors for Confidence Calibration. | Chen Xing, Sercan mer Arik, Zizhao Zhang, Tomas Pfister |
| 2020 | ICML | Data Valuation using Reinforcement Learning. | Jinsung Yoon, Sercan mer Arik, Tomas Pfister |
| 2019 | CVPR | Inserting Videos Into Videos. | Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang |
| 2019 | ICCV | Generative Modeling for Small-Data Object Detection. | Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-Jia Li |
| 2019 | ICLR | Harmonic Unpaired Image-to-image Translation. | Rui Zhang, Tomas Pfister, Jia Li |
| 2017 | CVPR | Learning from Simulated and Unsupervised Images through Adversarial Training. | Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb |
| 2016 | CVPR | Personalizing Human Video Pose Estimation. | James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman |
| 2015 | ICCV | Flowing ConvNets for Human Pose Estimation in Videos. | Tomas Pfister, James Charles, Andrew Zisserman |
| 2014 | ACCV | Deep Convolutional Neural Networks for Efficient Pose Estimation in Gesture Videos. | Tomas Pfister, Karen Simonyan, James Charles, Andrew Zisserman |
| 2014 | BMVC | Upper Body Pose Estimation with Temporal Sequential Forests. | James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman |
| 2014 | ECCV | Domain-Adaptive Discriminative One-Shot Learning of Gestures. | Tomas Pfister, James Charles, Andrew Zisserman |
| 2013 | BMVC | Domain Adaptation for Upper Body Pose Tracking in Signed TV Broadcasts. | James Charles, Tomas Pfister, Derek R. Magee, David C. Hogg, Andrew Zisserman |
| 2013 | BMVC | Large-scale Learning of Sign Language by Watching TV (Using Co-occurrences). | Tomas Pfister, James Charles, Andrew Zisserman |
| 2012 | BMVC | Automatic and Efficient Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts. | Tomas Pfister, James Charles, Mark Everingham, Andrew Zisserman |
| 2011 | ICCV | Recognising spontaneous facial micro-expressions. | Tomas Pfister, Xiaobai Li, Guoying Zhao, Matti Pietikinen |
| 2010 | ICPR | Speech Emotion Classification and Public Speaking Skill Assessment. | Tomas Pfister, Peter Robinson |