Search Results for author:
Found 3 papers, 1 papers with code
Isolating Language-Coding from Problem-Solving: Benchmarking LLMs with PseudoEval
Existing code generation benchmarks for Large Language Models (LLMs) such as HumanEval and MBPP are designed to study LLMs' end-to-end performance, where the benchmarks feed a problem description in natural language as input and examine the generated code in specific programming languages.
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit
However, the lack of automated code refactoring tools and scientifically validated refactoring techniques has hampered widespread industrial implementation.
Generating Multi-scale Maps from Remote Sensing Images via Series Generative Adversarial Networks
The series strategy avoids RS-m inconsistency as inputs are high-resolution large-scale RSIs, and reduces the distribution gap in multi-scale map generation through similar pixel distributions among multi-scale maps.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
