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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 551–575 of 9051 papers

TitleStatusHype
Toward Stable World Models: Measuring and Addressing World Instability in Generative Environments—0
Preserving Product Fidelity in Large Scale Image Recontextualization with Diffusion Models—0
Oasis: One Image is All You Need for Multimodal Instruction Data SynthesisCode1
Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMs—0
DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics AwarenessCode3
ResBench: Benchmarking LLM-Generated FPGA Designs with Resource Awareness—0
ESPnet-SDS: Unified Toolkit and Demo for Spoken Dialogue Systems—0
Additive Frequency Diverse Active Incoherent Millimeter-Wave Imaging—0
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR—0
MaizeField3D: A Curated 3D Point Cloud and Procedural Model Dataset of Field-Grown Maize from a Diversity PanelCode0
RayFlow: Instance-Aware Diffusion Acceleration via Adaptive Flow Trajectories—0
MapQA: Open-domain Geospatial Question Answering on Map Data—0
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast AsiaCode0
Process-Supervised LLM Recommenders via Flow-guided TuningCode1
AnomalyPainter: Vision-Language-Diffusion Synergy for Zero-Shot Realistic and Diverse Industrial Anomaly Synthesis—0
PER-DPP Sampling Framework and Its Application in Path Planning—0
Chameleon: On the Scene Diversity and Domain Variety of AI-Generated Videos Detection—0
Color Alignment in Diffusion—0
Instance-wise Supervision-level Optimization in Active LearningCode0
ExGes: Expressive Human Motion Retrieval and Modulation for Audio-Driven Gesture Synthesis—0
GFlowVLM: Enhancing Multi-step Reasoning in Vision-Language Models with Generative Flow Networks—0
Enhancing NLP Robustness and Generalization through LLM-Generated Contrast Sets: A Scalable Framework for Systematic Evaluation and Adversarial Training—0
CtrTab: Tabular Data Synthesis with High-Dimensional and Limited Data—0
Dynamically evolving segment anything model with continuous learning for medical image segmentation—0
Single Domain Generalization with Adversarial Memory—0
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