model compression

3283 papers

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MC

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knowledge distillation (3680) large language model (12755) neural network (6616) efficient computing (779) neural network optimization (1293) transfer learning (5442) convolutional neural network (4216) neural network pruning (265) language model (4573) parameter efficiency (415)

Papers

A Good Teacher Adapts Their Knowledge for Distillation ICCV 2025

When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs EMNLP 2025

ThinkSLM: Towards Reasoning in Small Language Models EMNLP 2025

Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors IJCAI 2025

FlexiGPT: Pruning and Extending Large Language Models with Low-Rank Weight Sharing NAACL 2025

On-device System of Compositional Multi-tasking in Large Language Models EMNLP 2025

LLMs on a Budget? Say HOLA EMNLP 2025

Large Language Models Are Overparameterized Text Encoders NAACL 2025

MiniKV: Pushing the Limits of 2-Bit KV Cache via Compression and System Co-Design for Efficient Long Context Inference ACL 2025

As easy as PIE: understanding when pruning causes language models to disagree NAACL 2025

Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis ICCV 2025

StepER: Step-wise Knowledge Distillation for Enhancing Reasoning Ability in Multi-Step Retrieval-Augmented Language Models EMNLP 2025

APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers CVPR 2025

Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory CVPR 2025

DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching CVPR 2025

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer ICCV 2025

Instant Adversarial Purification with Adversarial Consistency Distillation CVPR 2025

Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation CVPR 2025

SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device CVPR 2025

GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation EMNLP 2025

EdgeTAM: On-Device Track Anything Model CVPR 2025

FastVLM: Self-Speculative Decoding for Fast Vision-Language Model Inference AACL 2025

ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging. SEMEVAL 2025

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

MT2ST: Adaptive Multi-Task to Single-Task Learning ACL 2025