Picture for Xiangke Liao

Xiangke Liao

Bridging Code Semantic and LLMs: Semantic Chain-of-Thought Prompting for Code Generation

Add code
Oct 22, 2023
Viaarxiv icon

Learning to Branch in Combinatorial Optimization with Graph Pointer Networks

Add code
Jul 04, 2023
Figure 1 for Learning to Branch in Combinatorial Optimization with Graph Pointer Networks
Figure 2 for Learning to Branch in Combinatorial Optimization with Graph Pointer Networks
Figure 3 for Learning to Branch in Combinatorial Optimization with Graph Pointer Networks
Figure 4 for Learning to Branch in Combinatorial Optimization with Graph Pointer Networks
Viaarxiv icon

One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization

Add code
Mar 28, 2023
Figure 1 for One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization
Figure 2 for One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization
Figure 3 for One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization
Figure 4 for One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization
Viaarxiv icon

SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems

Add code
Dec 07, 2022
Figure 1 for SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems
Figure 2 for SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems
Figure 3 for SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems
Figure 4 for SAIH: A Scalable Evaluation Methodology for Understanding AI Performance Trend on HPC Systems
Viaarxiv icon

Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding

Add code
Dec 04, 2021
Figure 1 for Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding
Figure 2 for Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding
Figure 3 for Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding
Figure 4 for Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding
Viaarxiv icon

CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation

Add code
Jun 21, 2021
Figure 1 for CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation
Figure 2 for CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation
Figure 3 for CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation
Figure 4 for CD-SGD: Distributed Stochastic Gradient Descent with Compression and Delay Compensation
Viaarxiv icon

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search

Add code
Mar 24, 2021
Figure 1 for deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search
Figure 2 for deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search
Figure 3 for deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search
Figure 4 for deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search
Viaarxiv icon

OD-SGD: One-step Delay Stochastic Gradient Descent for Distributed Training

Add code
May 14, 2020
Figure 1 for OD-SGD: One-step Delay Stochastic Gradient Descent for Distributed Training
Figure 2 for OD-SGD: One-step Delay Stochastic Gradient Descent for Distributed Training
Figure 3 for OD-SGD: One-step Delay Stochastic Gradient Descent for Distributed Training
Figure 4 for OD-SGD: One-step Delay Stochastic Gradient Descent for Distributed Training
Viaarxiv icon