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Inference Optimization

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Showing 1–50 of 56 papers

TitleStatusHype
Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert MergingCode0
The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries—0
Brevity is the soul of sustainability: Characterizing LLM response lengthsCode0
DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation—0
Faster MoE LLM Inference for Extremely Large Models—0
SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RLCode3
Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory ConstraintsCode4
The 1st Solution for 4th PVUW MeViS Challenge: Unleashing the Potential of Large Multimodal Models for Referring Video SegmentationCode5
Energy-Efficient Transformer Inference: Optimization Strategies for Time Series Classification—0
Hybrid Offline-online Scheduling Method for Large Language Model Inference Optimization—0
DVFS-Aware DNN Inference on GPUs: Latency Modeling and Performance Analysis—0
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals—0
A Survey on Inference Optimization Techniques for Mixture of Experts ModelsCode3
FluidML: Fast and Memory Efficient Inference Optimization—0
A Temporal Linear Network for Time Series ForecastingCode0
LLM-Rank: A Graph Theoretical Approach to Pruning Large Language ModelsCode0
EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge—0
CycleBNN: Cyclic Precision Training in Binary Neural NetworksCode2
Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning—0
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities—0
An approach to optimize inference of the DIART speaker diarization pipeline—0
LLaSA: Large Language and E-Commerce Shopping AssistantCode0
Patched MOA: optimizing inference for diverse software development tasksCode0
Inference Optimization of Foundation Models on AI Accelerators—0
Inference Performance Optimization for Large Language Models on CPUsCode3
Robust Zero-Shot Text-to-Speech Synthesis with Reverse Inference Optimization—0
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval—0
Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks—0
Advances and Open Challenges in Federated Foundation Models—0
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization—0
Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition—0
SySMOL: Co-designing Algorithms and Hardware for Neural Networks with Heterogeneous Precisions—0
Bayesian Active Learning in the Presence of Nuisance Parameters—0
Representing Edge Flows on Graphs via Sparse Cell ComplexesCode0
Painterly Image Harmonization using Diffusion ModelCode1
Residual-Based Error Corrector Operator to Enhance Accuracy and Reliability of Neural Operator Surrogates of Nonlinear Variational Boundary-Value Problems—0
Adaptive Deep Neural Network Inference Optimization with EENetCode1
Networked Signal and Information Processing—0
Enhanced graph-learning schemes driven by similar distributions of motifsCode0
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation—0
Easy and Efficient Transformer: Scalable Inference Solution For Large NLP Model—0
SBbadger: Biochemical Reaction Networks with Definable Degree Distributions—0
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
A Novel 1D State Space for Efficient Music Rhythmic AnalysisCode1
Bifocal Neural ASR: Exploiting Keyword Spotting for Inference Optimization—0
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks—0
Easy and Efficient Transformer : Scalable Inference Solution For large NLP modelCode1
Investigations on the inference optimization techniques and their impact on multiple hardware platforms for Semantic Segmentation—0
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition—0
A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data—0
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