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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 551–600 of 9051 papers

TitleStatusHype
Toward Stable World Models: Measuring and Addressing World Instability in Generative Environments—0
Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMs—0
Oasis: One Image is All You Need for Multimodal Instruction Data SynthesisCode1
Preserving Product Fidelity in Large Scale Image Recontextualization with Diffusion Models—0
DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics AwarenessCode3
ResBench: Benchmarking LLM-Generated FPGA Designs with Resource Awareness—0
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR—0
Additive Frequency Diverse Active Incoherent Millimeter-Wave Imaging—0
ESPnet-SDS: Unified Toolkit and Demo for Spoken Dialogue Systems—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
AnomalyPainter: Vision-Language-Diffusion Synergy for Zero-Shot Realistic and Diverse Industrial Anomaly Synthesis—0
Process-Supervised LLM Recommenders via Flow-guided TuningCode1
PER-DPP Sampling Framework and Its Application in Path Planning—0
Instance-wise Supervision-level Optimization in Active LearningCode0
Color Alignment in Diffusion—0
Chameleon: On the Scene Diversity and Domain Variety of AI-Generated Videos Detection—0
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
AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic DataCode1
Multi-Task Reinforcement Learning Enables Parameter Scaling—0
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving—0
CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence—0
Accelerating Earth Science Discovery via Multi-Agent LLM Systems—0
Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search—0
ProtComposer: Compositional Protein Structure Generation with 3D EllipsoidsCode2
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation—0
Collaborative Evaluation of Deepfake Text with Deliberation-Enhancing Dialogue Systems—0
Preserving Cultural Identity with Context-Aware Translation Through Multi-Agent AI SystemsCode0
Enhancing Collective Intelligence in Large Language Models Through Emotional Integration—0
Probabilistic Insights for Efficient Exploration Strategies in Reinforcement Learning—0
PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary AlgorithmsCode0
DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models—0
DivPrune: Diversity-based Visual Token Pruning for Large Multimodal ModelsCode2
Federated Learning Meets Fluid Antenna: Towards Robust and Scalable Edge Intelligence—0
Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic SegmentationCode0
ExpertGenQA: Open-ended QA generation in Specialized Domains—0
Controllable Motion Generation via Diffusion Modal CouplingCode0
Hypergraph Foundation Model—0
SampleMix: A Sample-wise Pre-training Data Mixing Strategey by Coordinating Data Quality and Diversity—0
Diversity Covariance-Aware Prompt Learning for Vision-Language Models—0
HI-Series Algorithms A Hybrid of Substance Diffusion Algorithm and Collaborative Filtering—0
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling—0
Group Relative Policy Optimization for Image CaptioningCode0
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