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conftrace_

transformer

195 papers

TRANSFORMER TRANSFORMERS

Papers

Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition ICML 2025 Exploring Human-AI Conceptual Alignment through the Prism of Chess NeurIPS 2025 Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation ICML 2025 Fundamental Limits of Visual Autoregressive Transformers: Universal Approximation Abilities ICML 2025 Galileo: Learning Global & Local Features of Many Remote Sensing Modalities ICML 2025 GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration ICML 2025 GraphGPT: Generative Pre-trained Graph Eulerian Transformer ICML 2025 Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers ICML 2025 (How) Can Transformers Predict Pseudo-Random Numbers? ICML 2025 How Do Images Align and Complement LiDAR? Towards a Harmonized Multi-modal 3D Panoptic Segmentation ICML 2025 How Do Transformers Learn Variable Binding in Symbolic Programs? ICML 2025 How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias ICML 2025 How Transformers Learn Structured Data: Insights From Hierarchical Filtering ICML 2025 Humanoid Policy   Human Policy CoRL 2025 In-Context Deep Learning via Transformer Models ICML 2025 Knolling Bot: Teaching Robots the Human Notion of Tidiness NeurIPS 2025 Learnable Spatial-Temporal Positional Encoding for Link Prediction ICML 2025 Learning Compositional Functions with Transformers from Easy-to-Hard Data COLT 2025 Learning In-context n-grams with Transformers: Sub-n-grams Are Near-Stationary Points ICML 2025 Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting ICML 2025 Looking Beyond the Top-1: Transformers Determine Top Tokens in Order ICML 2025 Low-Rank Thinning ICML 2025 Masked Generative Nested Transformers with Decode Time Scaling ICML 2025 Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer ICML 2025 MLPs Learn In-Context on Regression and Classification Tasks ICLR 2025