Transformers

MIDI-GPT: A Controllable Generative Model for Computer-Assisted Multitrack Music Composition AAAI 2025 MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification AAAI 2025 Mimic In-Context Learning for Multimodal Tasks CVPR 2025 MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity AAAI 2025 MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations ICLR 2025 MINDS at SemEval-2025 Task 9: Multi-Task Transformers for Food Hazard Coarse-Fine Classification SemEval 2025 Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers ICML 2025 Mining Complex Patterns of Argumentative Reasoning in Natural Language Dialogue ACL 2025 Mining the Past: A Comparative Study of Classical and Neural Topic Models on Historical Newspaper Archives NAACL 2025 MIO: A Foundation Model on Multimodal Tokens EMNLP 2025 Mirror in the Model: Ad Banner Image Generation via Reflective Multi-LLM and Multi-modal Agents EMNLP 2025 Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias? ICML 2025 Misogynistic Meme Detection in Dravidian Languages Using Kolmogorov Arnold-based Networks NAACL 2025 MiSTR: Multi-Modal iEEG-to-Speech Synthesis with Transformer-Based Prosody Prediction and Neural Phase Reconstruction Interspeech 2025 Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation EMNLP 2025 Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention CVPR 2025 MITracker: Multi-View Integration for Visual Object Tracking CVPR 2025 MixA: A Mixed Attention approach with Stable Lightweight Linear Attention to enhance Efficiency of Vision Transformers at the Edge ICCV 2025 MixANT: Observation-dependent Memory Propagation for Stochastic Dense Action Anticipation ICCV 2025 MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective ICCV 2025 MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora EMNLP 2025 Mixture of Hidden-Dimensions: Not All Hidden-States’ Dimensions are Needed in Transformer ICML 2025 Mixture of In-Context Prompters for Tabular PFNs ICLR 2025 Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment ACL 2025 Mixture of Languages: Improved Multilingual Encoders Through Language Grouping EMNLP 2025