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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
SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning
EMNLP 2025
Alignment-Augmented Speculative Decoding with Alignment Sampling and Conditional Verification
EMNLP 2025
TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text
EMNLP 2025
Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs
EMNLP 2025
HD-PiSSA: High-Rank Distributed Orthogonal Adaptation
EMNLP 2025
QualBench: Benchmarking Chinese LLMs with Localized Professional Qualifications for Vertical Domain Evaluation
EMNLP 2025
Cost-Optimal Grouped-Query Attention for Long-Context Modeling
EMNLP 2025
Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm
EMNLP 2025
QSpec: Speculative Decoding with Complementary Quantization Schemes
EMNLP 2025
VarDrop: Enhancing Training Efficiency by Reducing Variate Redundancy in Periodic Time Series Forecasting
AAAI 2025
A Compact Implicit Neural Representation for Efficient Storage of Massive 4D Functional Magnetic Resonance Imaging
AAAI 2025
Real-Time Calibration Model for Low-Cost Sensor in Fine-Grained Time Series
AAAI 2025
“AlphAI”: Teaching AI Algorithms to K12 by Training Learning Robots and Visualizing How It Works
AAAI 2025
ml4xcube: Machine Learning Toolkits for Earth System Data Cubes
AAAI 2025
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
AAAI 2025
Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting
AAAI 2025
Increased Compute Efficiency and the Diffusion of AI Capabilities
AAAI 2025
On Probabilistic Truncation in Privacy-preserving Machine Learning
AAAI 2025
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization
AAAI 2025
ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model
AAAI 2025
Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference
AAAI 2025
Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract)
AAAI 2025
KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation
AAAI 2025
A-VL: Adaptive Attention for Large Vision-Language Models
AAAI 2025
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
AAAI 2025
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