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Efficient Computing
6876 directly classified papers
Papers per year
2003: 3
2004: 2
2005: 3
2006: 3
2007: 8
2008: 10
2009: 7
2010: 11
2011: 12
2012: 15
2013: 53
2014: 48
2015: 55
2016: 97
2017: 135
2018: 233
2019: 369
2020: 502
2021: 664
2022: 741
2023: 1039
2024: 1063
2025: 1395
2026: 408
Papers
KVmix: Gradient-Based Layer Importance-Aware Mixed-Precision Quantization for KV Cache
AAAI 2026
AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization
AAAI 2026
OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification
AAAI 2026
DMOSpeech 2: Reinforcement Learning for Duration Prediction in Metric-Optimized Speech Synthesis
AAAI 2026
SEAP: Sparse Expert Activation Pruning Unlocks the Brainpower of Large Language Models
AAAI 2026
Judge Q: Trainable Queries for Optimized Information Retention in KV Cache Eviction
AAAI 2026
SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning
AAAI 2026
TokenPowerBench: Benchmarking the Power Consumption of LLM Inference
AAAI 2026
HitKV: Activation Frequency Knows Which Tokens Are Important
AAAI 2026
SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization
AAAI 2026
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
AAAI 2026
QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation
AAAI 2026
Share Your Attention: Transformer Weight Sharing via Matrix-based Dictionary Learning
AAAI 2026
ZeRCP: Towards Communication-Efficient Collaborative Perception and Future Scene Prediction via Request-Free Spatial Filtering
AAAI 2026
Mnemosyne: Accelerating Multi-Hop Question Answering via Cache Hit Order Fitting
AAAI 2026
Towards Better Correctness and Efficiency in Code Generation
AAAI 2026
MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings
AAAI 2026
Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
AAAI 2026
Efficient Plug-and-Play Weight Refinement for Sparse Large Models
AAAI 2026
AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers
AAAI 2026
Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation
AAAI 2026
QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching
AAAI 2026
Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment
AAAI 2026
MSCFL: Model Structure-Aware Clustered Federated Learning for System Heterogeneity and Data Drift
AAAI 2026
CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis
AAAI 2026
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