Model Compression

CodeArena: Evaluating and Aligning CodeLLMs on Human Preference EMNLP 2025 CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis AAAI 2025 Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models CVPR 2025 Comparative Knowledge Distillation WACV 2025 Compression of 3D Gaussian Splatting with Optimized Feature Planes and Standard Video Codecs ICCV 2025 ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning EMNLP 2025 ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models EMNLP 2025 ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints ICCV 2025 CORAL: Learning Consistent Representations across Multi-step Training with Lighter Speculative Drafter ACL 2025 COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism AAAI 2025 COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection EMNLP 2025 CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation AAAI 2025 CUET_SR34 at CQs-Gen 2025: Critical Question Generation via Few-Shot LLMs – Integrating NER and Argument Schemes ACL 2025 D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models AAAI 2025 DART: Distilling Autoregressive Reasoning to Silent Thought EMNLP 2025 Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales CVPR 2025 Data Generation for Hardware-Friendly Post-Training Quantization WACV 2025 Dataset Distillation with Neural Characteristic Function: A Minmax Perspective CVPR 2025 DAViD: Data-efficient and Accurate Vision Models from Synthetic Data ICCV 2025 DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection AAAI 2025 DeepCompress-ViT: Rethinking Model Compression to Enhance Efficiency of Vision Transformers at the Edge CVPR 2025 DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation CVPR 2025 DenseLoRA: Dense Low-Rank Adaptation of Large Language Models ACL 2025 Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization AAAI 2025 Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning ICML 2025