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model compression

3,562 papers

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MC

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knowledge distillation (1,124) large language model (422) neural network (322) neural network optimization (297) efficient computing (297) convolutional neural network (240) transfer learning (234) neural network pruning (200) parameter-efficient fine-tuning (168) language model (158)

Papers

Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series EMNLP 2025 ThinkSLM: Towards Reasoning in Small Language Models EMNLP 2025 Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization Layers. AAAI 2025 Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning EMNLP 2025 TinyFoA: Memory Efficient Forward-Only Algorithm for On-Device Learning AAAI 2025 TinyFusion: Diffusion Transformers Learned Shallow CVPR 2025 ToDi: Token-wise Distillation via Fine-Grained Divergence Control EMNLP 2025 Token Cropr: Faster ViTs for Quite a Few Tasks CVPR 2025 Token Level Routing Inference System for Edge Devices ACL 2025 TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection EMNLP 2025 Toolscaler: Scalable Generative Tool Calling via Structure-Aware Semantic Tokenization EMNLP 2025 TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model CVPR 2025 ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts ICLR 2025 Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment AAAI 2025 Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism AAAI 2025 Towards Adversarially Robust Dataset Distillation by Curvature Regularization AAAI 2025 Towards compact and efficient Slovak summarization models ACL 2025 Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025 Towards Higher Effective Rank in Parameter-Efficient Fine-tuning using Khatri-Rao Product ICCV 2025 Towards More Efficient Post-training via Fourier Domain Adapter Framework EMNLP 2025 Towards One-bit ASR: Extremely Low-bit Conformer Quantization Using Co-training and Stochastic Precision Interspeech 2025 Towards Privacy-preserved Pre-training of Remote Sensing Foundation Models with Federated Mutual-guidance Learning ICCV 2025 Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory CVPR 2025 Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings ACL 2025 Towards the Law of Capacity Gap in Distilling Language Models ACL 2025