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Model Compression

1503 directly classified papers

Papers per year

Papers

RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates ACL 2025
AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting ACL 2025
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025
ProcrustesGPT: Compressing LLMs with Structured Matrices and Orthogonal Transformations ACL 2025
StitchLLM: Serving LLMs, One Block at a Time ACL 2025
Scaling Laws and Efficient Inference for Ternary Language Models ACL 2025
Automated Fine-Grained Mixture-of-Experts Quantization ACL 2025
From Teacher to Student: Tracking Memorization Through Model Distillation ACL 2025
Pretraining Context Compressor for Large Language Models with Embedding-Based Memory ACL 2025
MT2ST: Adaptive Multi-Task to Single-Task Learning ACL 2025
Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models EMNLP 2025
GRASP: Replace Redundant Layers with Adaptive Singular Parameters for Efficient Model Compression EMNLP 2025
Studying the Role of Input-Neighbor Overlap in Retrieval-Augmented Language Models Training Efficiency EMNLP 2025
COUNTDOWN: Contextually Sparse Activation Filtering Out Unnecessary Weights in Down Projection EMNLP 2025
CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing EMNLP 2025
Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis ACL 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs ACL 2025
Speed Without Sacrifice: Fine-Tuning Language Models with Medusa and Knowledge Distillation in Travel Applications ACL 2025
LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion ACL 2025
HD-PiSSA: High-Rank Distributed Orthogonal Adaptation EMNLP 2025
LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering ACL 2025
General Compression Framework for Efficient Transformer Object Tracking ICCV 2025
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models EMNLP 2025
AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025
ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity ICCV 2025