Artificial Intelligence › Core AI ›

Model Compression

1928 directly classified papers

Papers per year

Papers

GLOBA: Rethinking Parameter Conflicts in Model Merging AAAI 2026

STEP-Nav: Spatial-Temporal Efficient Visual Token Pruning for Vision-and-Language Navigation with Large Language Models AAAI 2026

SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping AAAI 2026

LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit AAAI 2026

SineLoRA∆: Sine-Activated Delta Compression AAAI 2026

Forgetting by Pruning: Data Deletion in Join Cardinality Estimation AAAI 2026

Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT AAAI 2026

HALO: Hardware-Aware Quantization with Low Critical-Path-Delay Weights for LLM Acceleration AAAI 2026

LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention AAAI 2026

C-GNN-PRUNE: A Unified Graph-Based Framework for Structure-Aware Pruning of Mixture-of-Experts Models AAAI 2026

Stratified Knowledge-Density Super-Network for Scalable Vision Transformers AAAI 2026

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging AAAI 2026

InfoQ: Mixed-Precision Quantization via Global Information Flow AAAI 2026

LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping AAAI 2026

Sliding-Window Merging for Compacting Patch-Redundant Layers in LLMs AAAI 2026

CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models AAAI 2026

FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models AAAI 2026

MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation AAAI 2026

Two Heads Are Better than One: Distilling Large Language Model Features into Small Models with Feature Decomposition and Mixture AAAI 2026

RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models AAAI 2026

TOP-RL: Task-Optimized Progressive Token Pruning with Reinforcement Learning for Vision Language Models AAAI 2026

Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices AAAI 2026

HCC-3D: Hierarchical Compensatory Compression for 98% 3D Token Reduction in Vision-Language Models AAAI 2026

PosPrune: Visual Token Pruning with Positional Bias Correction for Efficient Large Vision-Language Models AAAI 2026

Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning AAAI 2026