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Model Architecture

4351 directly classified papers

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Papers

Trainable, Multiword-aware Linguistic Tokenization Using Modern Neural Networks EACL 2026

Thesis Proposal: Efficient KV Cache Reuse for Multi-Document Retrieval-Augmented Generation EACL 2026

Infinity-MoE: Generalizing Mixture of Experts to Infinite Experts EACL 2026

RemEdit: Efficient Diffusion Editing with Riemannian Geometry WACV 2026

SIAM: Synchronous Interaction Attention for Human Mesh Recovery WACV 2026

GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free Approach AAAI 2025

Bitune: Leveraging Bidirectional Attention to Improve Decoder-Only LLMs EMNLP 2025

AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints AAAI 2025

RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model NAACL 2025

FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025

DDJND: Dual Domain Just Noticeable Difference in Multi-Source Content Images with Structural Discrepancy AAAI 2025

TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification AAAI 2025

Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis AAAI 2025

S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging AAAI 2025

LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models NAACL 2025

PLD+: Accelerating LLM Inference by Leveraging Language Model Artifacts NAACL 2025

Drift-Adapter: A Practical Approach to Near Zero-Downtime Embedding Model Upgrades in Vector Databases EMNLP 2025

RHanDS: Refining Malformed Hands for Generated Images with Decoupled Structure and Style Guidance AAAI 2025

Slice-and-Pack: Tailoring Deep Models for Customized Requirements AAAI 2025

Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025

Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025

Graph Mixture of Experts and Memory-augmented Routers for Multivariate Time Series Anomaly Detection AAAI 2025

Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation AAAI 2025

Attack-inspired Calibration Loss for Calibrating Crack Recognition AAAI 2025