Industry
Synchronized Video-to-Audio Synthesis with Latent Diffusion Models Simian Luo
We further significantly improve sample quality with'double guidance'.
UDA
Cleaning missing values: The human-generated questions may be unanswerable. Thus, we remove the Q&A items that lack available answers. Additionally, documents lacking any valid Q&A pairs are also removed.
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
Models (LLMs) in collaborating with external data, yet significant challenges exist in real-world scenarios. In areas such as academic literature and finance question answering, data are often found in raw text and tables in HTML or PDF formats, which can be lengthy and highly unstructured.
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics Lukas Klein 1,2,3 Carsten Lรผth
Explainable AI (XAI) is a rapidly growing domain with a myriad of proposed methods as well as metrics aiming to evaluate their efficacy.
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
Recent work utilizes plan-and-solve decomposition to decrease the complexity and leverage self-tests to refine the generated program.
Learning Interpretable Low-dimensional Representation via Physical Symmetry
However, most methods rely heavily on music domain knowledge.
