Model Compression

LaMDA: Large Model Fine-Tuning via Spectrally Decomposed Low-Dimensional Adaptation EMNLP 2024 Language-Specific Pruning for Efficient Reduction of Large Language Models COLING 2024 LASER: Linear Compression in Wireless Distributed Optimization ICML 2024 Layer-Adaptive State Pruning for Deep State Space Models NeurIPS 2024 Layer-Condensed KV Cache for Efficient Inference of Large Language Models ACL 2024 Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models EMNLP 2024 Learn and Don't Forget: Adding a New Language to ASR Foundation Models Interspeech 2024 Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network ECCV 2024 Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs ICML 2024 Learning to Compress Prompt in Natural Language Formats NAACL 2024 Learn it or Leave it: Module Composition and Pruning for Continual Learning ACL 2024 Learn more, but bother less: parameter efficient continual learning NeurIPS 2024 Learn To be Efficient: Build Structured Sparsity in Large Language Models NeurIPS 2024 Less is Fed More: Sparsity Reduces Feature Distortion in Federated Learning EMNLP 2024 LiFteR: Unleash Learned Codecs in Video Streaming with Loose Frame Referencing NSDI 2024 Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning ACL 2024 LILO: Learning Interpretable Libraries by Compressing and Documenting Code ICLR 2024 LinChance-NTU for Unconstrained WMT2024 Literary Translation EMNLP 2024 LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment NeurIPS 2024 LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit EMNLP 2024 LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression ACL 2024 LLM-QAT: Data-Free Quantization Aware Training for Large Language Models ACL 2024 LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model NeurIPS 2024 Localizing and Editing Knowledge In Text-to-Image Generative Models ICLR 2024 Localizing Task Information for Improved Model Merging and Compression ICML 2024