Transformers

Toward Efficient Sparse Autoencoder-Guided Steering for Improved In-Context Learning in Large Language Models EMNLP 2025 Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP AAAI 2025 Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content CVPR 2025 Towards compact and efficient Slovak summarization models ACL 2025 Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models ICCV 2025 Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025 Towards Fine-grained Interactive Segmentation in Images and Videos ICCV 2025 Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting CVPR 2025 Towards Infinite-Long Prefix in Transformer EMNLP 2025 Towards Learning High-Precision Least Squares Algorithms with Sequence Models ICLR 2025 Towards More General Video-based Deepfake Detection through Facial Component Guided Adaptation for Foundation Model CVPR 2025 Towards Neural Scaling Laws for Time Series Foundation Models ICLR 2025 Towards Precise Scaling Laws for Video Diffusion Transformers CVPR 2025 Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning IJCAI 2025 Towards Transformer-Based Aligned Generation with Self-Coherence Guidance CVPR 2025 Towards Understanding the Universality of Transformers for Next-Token Prediction ICLR 2025 Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures ICLR 2025 TRACE: Training and Inference-Time Interpretability Analysis for Language Models EMNLP 2025 Track-On: Transformer-based Online Point Tracking with Memory ICLR 2025 Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better CVPR 2025 Tractable Transformers for Flexible Conditional Generation ICML 2025 Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context ICLR 2025 Training compute-optimal transformer encoder models EMNLP 2025 Training Deep Learning Models with Norm-Constrained LMOs ICML 2025 Training Dynamics of In-Context Learning in Linear Attention ICML 2025