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Model Compression

1674 directly classified papers

Papers per year

Papers

Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models ACL 2025
Low-Bit Quantization Favors Undertrained LLMs ACL 2025
Training-free LLM Merging for Multi-task Learning ACL 2025
Speed Without Sacrifice: Fine-Tuning Language Models with Medusa and Knowledge Distillation in Travel Applications ACL 2025
TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering ACL 2025
One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models ACL 2025
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps ACL 2025
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models AAAI 2025
Squeezed Attention: Accelerating Long Context Length LLM Inference ACL 2025
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models AAAI 2025
ESC: Erasing Space Concept for Knowledge Deletion CVPR 2025
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025
ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. ACL 2025
CodeArena: Evaluating and Aligning CodeLLMs on Human Preference EMNLP 2025
Extended Abstract: Probing-Guided Parameter-Efficient Fine-Tuning for Balancing Linguistic Adaptation and Safety in LLM-based Social Influence Systems ACL 2025
BitNet: 1-bit Pre-training for Large Language Models JMLR 2025
OAC: Output-adaptive Calibration for Accurate Post-training Quantization AAAI 2025
Towards Lossless Implicit Neural Representation via Bit Plane Decomposition CVPR 2025
BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices CVPR 2025
Slender-Mamba: Fully Quantized Mamba in 1.58 Bits From Head to Toe COLING 2025
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers AAAI 2025
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity AAAI 2025
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025
Lightweight Safety Guardrails Using Fine-tuned BERT Embeddings COLING 2025
LeanK: Learnable K Cache Channel Pruning for Efficient Decoding EMNLP 2025