Sida Wang

Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms

2020 · arXiv (Cornell University)

Active learning (AL) algorithms may achieve better performance with fewer data because the model guides the data selection process. While many algorithms have been proposed, there is little study on what the optimal AL algorithm …

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

2024 · arXiv (Cornell University)

Large Language Models (LLMs) applied to code-related applications have emerged as a prominent field, attracting significant interest from both academia and industry. However, as new and improved LLMs are developed, existing evaluation benchmarks (e.g., HumanEval, …