3 accepted papers
Large Language Models for code (code LLMs) have witnessed tremendous progress in recent years. With the rapid development of code LLMs, many popular evaluation benchmarks, such as HumanEval, DS-1000, and MBPP, have emerged to measure the performance of code LLMs with a particular focus on code gener…
Diffusion models excel at generating photo-realistic images but come with significant computational costs in both training and sampling. While various techniques address these computational challenges, a less-explored issue is designing an efficient and adaptable network backbone for iterative refin…
In this work, we consider the problem of automatic content retrieval (ACR) using joint audio-video fingerprints. We focus on how to balance the query accuracy and the size of fingerprint, and how to allocate the fingerprint bits to video and audio frames to maximize the query accuracy. By introducin…