Model Compression
2,258 papers
Papers per year
2
1
6
4
13
62
86
130
176
212
302
443
615
206
'15
'20
'25
Papers
TaDA: Training-free recipe for Decoding with Adaptive KV Cache Compression and Mean-centering
ACL 2025
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models
ICLR 2025
TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache Optimization
ACL 2025
Talking Head Anime 4: Distillation for Real-Time Performance
WACV 2025
Tamper-Resistant Safeguards for Open-Weight LLMs
ICLR 2025
TaoAvatar: Real-Time Lifelike Full-Body Talking Avatars for Augmented Reality via 3D Gaussian Splatting
CVPR 2025
Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision
ICML 2025
Task-Specific Zero-shot Quantization-Aware Training for Object Detection
ICCV 2025
TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation
EMNLP 2025
TBA at BEA 2025 Shared Task: Transfer-Learning from DARE-TIES Merged Models for the Pedagogical Ability Assessment of LLM-Powered Math Tutors
ACL 2025
The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws
ICLR 2025
The Role of Outgoing Connection Heterogeneity in Feedforward Layers of Large Language Models
EMNLP 2025
The Unreasonable Ineffectiveness of the Deeper Layers
ICLR 2025
ThinK: Thinner Key Cache by Query-Driven Pruning
ICLR 2025
Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning
EMNLP 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
TokenSkip: Controllable Chain-of-Thought Compression in LLMs
EMNLP 2025
Token Weighting for Long-Range Language Modeling
NAACL 2025
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
AAAI 2025
Towards Efficient CoT Distillation: Self-Guided Rationale Selector for Better Performance with Fewer Rationales
EMNLP 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
Training-Free Activation Sparsity in Large Language Models
ICLR 2025
Training Free Exponential Context Extension via Cascading KV Cache
ICLR 2025