Dataset And Benchmark Neurips 2025 Model

Dataset And Benchmark Neurips 2025 Model. Dataset And Benchmark Neurips 2024 Rivy Vinita In this paper, we present UniVG, a diffusion based model that unifies diverse image generation tasks within a single framework It also provides a forum for discussing best practices and standards for dataset creation and benchmark development, ensuring ethical and responsible use

NeurIPS Poster Massively Multilingual Corpus of Sentiment Datasets and Multifaceted Sentiment
NeurIPS Poster Massively Multilingual Corpus of Sentiment Datasets and Multifaceted Sentiment from neurips.cc

In this paper, we present UniVG, a diffusion based model that unifies diverse image generation tasks within a single framework Our dataset features video clips with a complete set of driving maneuvers, diverse multi-agent interplay, and rich open-world driving knowledge, laying a stepping stone for future world model development.

NeurIPS Poster Massively Multilingual Corpus of Sentiment Datasets and Multifaceted Sentiment

The affinity scores were computed using a text similarity model comparing the paper's text with the reviewer's past work on OpenReview. Abstract Deadline: Feb 17, 2025; Paper Deadline: Feb 24, 2025; Notification: May 16, 2024; Camera-ready: TBD; All deadlines are end-of-day in the Anywhere on Earth (AoE) time. have been accepted for the Datasets and Benchmarks Track of the NeuRIPS 2025 Conference in Vancouver, BC (CORE Rank A*, Acceptance rate 25%).

NeurIPS2023legalbenchacollaborativelybuiltbenchmarkformeasuringlegalreasoninginlarge. Previous editions of the Datasets and Benchmarks track were highly successful and continuously growing. Built on a minimally modified MM-DiT [10] architecture, UniVG seamlessly integrates diverse types of inputs, including text prompts, masks, and existing images, and is able to adapt to different tasks by adjusting its inputs.

Two Papers accepted for NeuRIPS 2025 Datasets and Benchmarks Track Universität Mannheim. The affinity scores were computed using a text similarity model comparing the paper's text with the reviewer's past work on OpenReview. have been accepted for the Datasets and Benchmarks Track of the NeuRIPS 2025 Conference in Vancouver, BC (CORE Rank A*, Acceptance rate 25%).