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Inference Optimization

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Showing 1–50 of 56 papers

TitleStatusHype
The 1st Solution for 4th PVUW MeViS Challenge: Unleashing the Potential of Large Multimodal Models for Referring Video SegmentationCode5
Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory ConstraintsCode4
SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RLCode3
A Survey on Inference Optimization Techniques for Mixture of Experts ModelsCode3
Inference Performance Optimization for Large Language Models on CPUsCode3
CycleBNN: Cyclic Precision Training in Binary Neural NetworksCode2
Painterly Image Harmonization using Diffusion ModelCode1
Adaptive Deep Neural Network Inference Optimization with EENetCode1
ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral TomographyCode1
A Novel 1D State Space for Efficient Music Rhythmic AnalysisCode1
Easy and Efficient Transformer : Scalable Inference Solution For large NLP modelCode1
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
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
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
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
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
Residual-Based Error Corrector Operator to Enhance Accuracy and Reliability of Neural Operator Surrogates of Nonlinear Variational Boundary-Value Problems—0
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
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
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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