A Survey on Model Compression for Large Language Models

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Items 101–200 of 365

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21. SEMQ: Efficient non-uniform quantization with sensitivity-based error minimization for large language models
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24. ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models
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25. EdgeNetLLM: Cloud–Edge Collaborative Adaptation of Large Language Models for Mobile Networking
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29. Mamba4Net: Distilled Hybrid Mamba Large Language Models For Networking
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36. Large Language Models
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37. Conceptual Foundations of LLM-Powered Agents: From Language Processing to Autonomous Reasoning
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38. Selective fine-tuning for large language models via matrix nuclear norm
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39. LLM4Gov: A Privacy-Preserving Approach to Teacher-Student Fine-Tuning of Distilled LLMs for the Public Sector
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40. Energy-efficient large language models
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41. Artificial intelligence-assisted vocabulary teaching: a meta-analysis study
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43. Large Language Models Are Overparameterized Text Encoders
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44. The Impact of Inference Acceleration on Bias of LLMs
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45. Theoretical guarantees for low-rank compression of deep neural networks
    Shihao Zhang, Rayan Saab · 2025 · Applied and Computational Harmonic Analysis
46. Adaptive Pruning for Large Language Models With Structural Importance Awareness
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47. Sponge Attacks on Sensing AI: Energy-Latency Vulnerabilities and Defense via Model Pruning
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48. ERAT-DLoRA: Parameter-efficient tuning with enhanced range adaptation in time and depth aware dynamic LoRA
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49. Privacy-Preserving Real-Time Human Activity Recognition Using On-Device Small Language Models
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50. Exploring Dual Coupledness for Effective Pruning in Object Detection
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51. An efficient quantized GEMV implementation for large language models inference with matrix core
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52. Sample-aware Adaptive Structured Pruning for Large Language Models
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53. Fine-tuning a Large Language Model for the Indian Legal System
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54. A Review of Large Language Models in Edge Computing: Applications, Challenges, Benefits, and Deployment Strategies
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55. Optimizing Sparse/Dense VEGETA Accelerator Performance with Microscaling Quantization
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57. Efficient Network Traffic Analysis Using Large-Parameter LLMs on Consumer-Grade GPUs
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61. Real Post-Training Quantization Framework for Resource-Optimized Multiplier in LLMs
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62. Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference
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63. The Hitchhikers Guide to Production-ready Trustworthy Foundation Model Powered Software (FMware)
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64. Less is more: Towards green code large language models via unified structural pruning
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65. SA-BCT: Self-Adapting Backward-Compatible Training
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66. Error Correction for Speech Recognition Systems Using Large Language Model Reasoning Capabilities
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67. Two-Stage Graph-Augmented Summarization of Scientific Documents
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80. Efficient Compression of Large Language Model based on Hybrid Layer and Channel Pruning
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86. Phase transitions in large language model compression
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