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Model Compression

1928 directly classified papers

Papers per year

Papers

ViTCoP: Accelerating Large Vision-Language Models via Visual and Textual Semantic Collaborative Pruning AAAI 2026

MMG-Vid: Maximizing Marginal Gains at Segment-level and Token-level for Efficient Video LLMs AAAI 2026

Bi-VLM: Binary Post-Training Quantization for Vision-Language Models AAAI 2026

Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization AAAI 2026

Navigating Data Scarcity in Low-Resource English-Tatar Translation using LLM Fine-Tuning EACL 2026

IdiomRanker-X at MWE-2026 AdMIRe 2: Multilingual Idiom-Image Alignment via Low-Rank Adaptation of Cross-Encoders EACL 2026

Paths Not Taken: Structure-Based Pruning in PSDD Learning and Inference AAAI 2026

DesireKV: Decoupling Sensitivity and Importance for Reasoning-Aware KV Cache Compression AAAI 2026

EM-KD: Distilling Efficient Multimodal Large Language Model with Unbalanced Vision Tokens AAAI 2026

Plasticity vs. Rigidity: The Impact of Low-Rank Adapters on Reasoning on a Micro-Budget EACL 2026

KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference EACL 2026

TAGQuant: Token-Aware Clustering for Group-Wise Quantization EACL 2026

Sparse Brains are Also Adaptive Brains: Cognitive-Load-Aware Dynamic Activation for LLMs EACL 2026

Hala Technical Report Building Arabic-Centric Instruction & Translation Models at Scale EACL 2026

Q Cache: Visual Attention Is Valuable in Less than Half of Decode Layers for Multimodal Large Language Model AAAI 2026

Compact Language Models with Iterative Text Refinement for Health Dialogue Summarization EACL 2026

Not All Tokens Are Meant to Be Forgotten AAAI 2026

Beyond Neuron-Level Sparsity: Achieving Faithful and Interpretable LLMs with Mixture of Decoders AAAI 2026

BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks? AAAI 2026

D²Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning AAAI 2026

Task-aware Block Pruning with Output Distribution Signals for Large Language Models EACL 2026

Mitigating Copy Bias in In-Context Learning through Neuron Pruning EACL 2026

DWA-KD: Dual-Space Weighting and Time-Warped Alignment for Cross-Tokenizer Knowledge Distillation EACL 2026

Logits-Based Block Pruning with Affine Transformations for Large Language Models EACL 2026

Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules EACL 2026