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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
The Foundation Cracks: A Comprehensive Study on Bugs and Testing Practices in LLM Libraries
Brevity is the soul of sustainability: Characterizing LLM response lengths
DSMentor: Enhancing Data Science Agents with Curriculum Learning and Online Knowledge Accumulation
Faster MoE LLM Inference for Extremely Large Models
Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory Constraints
SimpleAR: Pushing the Frontier of Autoregressive Visual Generation through Pretraining, SFT, and RL
The 1st Solution for 4th PVUW MeViS Challenge: Unleashing the Potential of Large Multimodal Models for Referring Video Segmentation
Energy-Efficient Transformer Inference: Optimization Strategies for Time Series Classification
Hybrid Offline-online Scheduling Method for Large Language Model Inference Optimization
DVFS-Aware DNN Inference on GPUs: Latency Modeling and Performance Analysis
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals
A Survey on Inference Optimization Techniques for Mixture of Experts Models
FluidML: Fast and Memory Efficient Inference Optimization
A Temporal Linear Network for Time Series Forecasting
LLM-Rank: A Graph Theoretical Approach to Pruning Large Language Models
EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge
CycleBNN: Cyclic Precision Training in Binary Neural Networks
Revisiting SMoE Language Models by Evaluating Inefficiencies with Task Specific Expert Pruning
The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities
An approach to optimize inference of the DIART speaker diarization pipeline
LLaSA: Large Language and E-Commerce Shopping Assistant
Patched MOA: optimizing inference for diverse software development tasks
Inference Optimization of Foundation Models on AI Accelerators
Inference Performance Optimization for Large Language Models on CPUs
Robust Zero-Shot Text-to-Speech Synthesis with Reverse Inference Optimization
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval
Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks
Advances and Open Challenges in Federated Foundation Models
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition
SySMOL: Co-designing Algorithms and Hardware for Neural Networks with Heterogeneous Precisions
Bayesian Active Learning in the Presence of Nuisance Parameters
Representing Edge Flows on Graphs via Sparse Cell Complexes
Painterly Image Harmonization using Diffusion Model
Residual-Based Error Corrector Operator to Enhance Accuracy and Reliability of Neural Operator Surrogates of Nonlinear Variational Boundary-Value Problems
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