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Model Compression
1503 directly classified papers
Papers per year
2006: 2
2010: 2
2011: 1
2013: 5
2014: 3
2015: 4
2016: 3
2017: 14
2018: 36
2019: 55
2020: 117
2021: 171
2022: 172
2023: 175
2024: 331
2025: 402
2026: 10
Papers
QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Models
NAACL 2025
Language Fusion for Parameter-Efficient Cross-lingual Transfer
ACL 2025
LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models
NAACL 2025
CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation Backdoor
EMNLP 2025
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
NAACL 2025
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates
ACL 2025
TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data
NAACL 2025
ToDi: Token-wise Distillation via Fine-Grained Divergence Control
EMNLP 2025
MoLA: MoE LoRA with Layer-wise Expert Allocation
NAACL 2025
Speed Without Sacrifice: Fine-Tuning Language Models with Medusa and Knowledge Distillation in Travel Applications
ACL 2025
RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model
NAACL 2025
Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance
EMNLP 2025
As easy as PIE: understanding when pruning causes language models to disagree
NAACL 2025
IG-Pruning: Input-Guided Block Pruning for Large Language Models
EMNLP 2025
Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation
NAACL 2025
DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
AAAI 2025
UNLEARN Efficient Removal of Knowledge in Large Language Models
NAACL 2025
Does quantization affect models’ performance on long-context tasks?
EMNLP 2025
Aligning Sizes of Intermediate Layers by LoRA Adapter for Knowledge Distillation
NAACL 2025
Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
ACL 2025
Large Language Models Are Overparameterized Text Encoders
NAACL 2025
MEraser: An Effective Fingerprint Erasure Approach for Large Language Models
ACL 2025
CLaSp: In-Context Layer Skip for Self-Speculative Decoding
ACL 2025
Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling
ACL 2025
ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity
ICCV 2025
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