most citedCode Repair with LLMs gives an Exploration-Exploitation Tradeoff

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025

Efficient Controllable Diffusion via Optimal Classifier Guidance

Owen Oertell, Shikun Sun, Yiding Chen +3

The controllable generation of diffusion models aims to steer the model to generate samples that optimize some given objective functions. It is desirable for a variety of applicati…

cs.IR2024

Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks

Jinyan Su, Jin Peng Zhou, Zhengxin Zhang +2

Retrieval-Augmented Generation (RAG) systems have emerged as a promising solution to mitigate LLM hallucinations and enhance their performance in knowledge-intensive domains. Howev…

cs.SE2024★ 3 cited

Code Repair with LLMs gives an Exploration-Exploitation Tradeoff

Hao Tang, Keya Hu, Jin Peng Zhou +4

Iteratively improving and repairing source code with large language models (LLMs), known as refinement, has emerged as a popular way of generating programs that would be too comple…