Tomas Pfister

DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding ACL 2026 When One LLM Drools, Multi-LLM Collaboration Rules ACL 2026 SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback EACL 2026 PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving EMNLP 2025 PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving EMNLP 2025 In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents ACL 2025 Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting ICLR 2025 Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling ICLR 2025 Reverse Thinking Makes LLMs Stronger Reasoners NAACL 2025 Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence ICML 2025 Mitigating Object Hallucination in MLLMs via Data-augmented Phrase-level Alignment ICLR 2025 Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation ACL 2025 Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training ICLR 2025 Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions EMNLP 2024 Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval EMNLP 2024 Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding ICLR 2024 TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting ICLR 2024 Search-Adaptor: Embedding Customization for Information Retrieval ACL 2024 CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation ACL 2024 TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents ACL 2024 Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization ACL 2024 CodecLM: Aligning Language Models with Tailored Synthetic Data NAACL 2024 Effective Large Language Model Adaptation for Improved Grounding and Citation Generation NAACL 2024 Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning ICML 2024 TableRAG: Million-Token Table Understanding with Language Models NIPS 2024 Chain of Agents: Large Language Models Collaborating on Long-Context Tasks NIPS 2024 Universal Self-Adaptive Prompting EMNLP 2023 FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction ACL 2023 SQLPrompt: In-Context Text-to-SQL with Minimal Labeled Data EMNLP 2023 Prefix Conditioning Unifies Language and Label Supervision CVPR 2023 Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval CVPR 2023 Neural Spline Search for Quantile Probabilistic Modeling AAAI 2023 Anomaly Clustering: Grouping Images Into Coherent Clusters of Anomaly Types WACV 2023 Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes ACL 2023 QueryForm: A Simple Zero-shot Form Entity Query Framework ACL 2023 Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs EMNLP 2023 Unifying Distribution Alignment as a Loss for Imbalanced Semi-Supervised Learning WACV 2023 Better Zero-Shot Reasoning with Self-Adaptive Prompting ACL 2023 Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding AAAI 2022 Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts AAAI 2022 FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction ACL 2022 Decoupling Local and Global Representations of Time Series AISTATS 2022 Learning To Prompt for Continual Learning CVPR 2022 DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning ECCV 2022 Learning Instance-Specific Adaptation for Cross-Domain Segmentation ECCV 2022 PseudoSeg: Designing Pseudo Labels for Semantic Segmentation ICLR 2021 CutPaste: Self-Supervised Learning for Anomaly Detection and Localization CVPR 2021 Learning Fast Sample Re-Weighting Without Reward Data ICCV 2021 Controlling Neural Networks with Rule Representations NIPS 2021 ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction ACL 2021 ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction IJCNLP 2021 TabNet: Attentive Interpretable Tabular Learning AAAI 2021 Learning and Evaluating Representations for Deep One-Class Classification ICLR 2021 Differentiable Top-k with Optimal Transport NIPS 2020 Distance-Based Learning from Errors for Confidence Calibration ICLR 2020 Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning ECCV 2020 Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost ECCV 2020 Data Valuation using Reinforcement Learning ICML 2020 Distilling Effective Supervision From Severe Label Noise CVPR 2020 ProtoAttend: Attention-Based Prototypical Learning JMLR 2020 Interpretable Sequence Learning for Covid-19 Forecasting NIPS 2020 On Completeness-aware Concept-Based Explanations in Deep Neural Networks NIPS 2020 Inserting Videos Into Videos CVPR 2019 Harmonic Unpaired Image-to-image Translation ICLR 2019 Generative Modeling for Small-Data Object Detection ICCV 2019 Learning From Simulated and Unsupervised Images Through Adversarial Training CVPR 2017 Personalizing Human Video Pose Estimation CVPR 2016 Flowing ConvNets for Human Pose Estimation in Videos ICCV 2015