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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 1826–1850 of 9051 papers

TitleStatusHype
Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds—0
Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge—0
Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation—0
WaLRUS: Wavelets for Long-range Representation Using SSMs—0
EarthSynth: Generating Informative Earth Observation with Diffusion Models—0
SGD-Mix: Enhancing Domain-Specific Image Classification with Label-Preserving Data Augmentation—0
GenZSL: Generative Zero-Shot Learning Via Inductive Variational AutoencoderCode0
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages—0
From Intent Discovery to Recognition with Topic Modeling and Synthetic Data—0
Review-Instruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language ModelsCode0
Spectral Policy Optimization: Coloring your Incorrect Reasoning in GRPO—0
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation—0
LoFT: LoRA-fused Training Dataset Generation with Few-shot GuidanceCode0
Robust Federated Learning on Edge Devices with Domain Heterogeneity—0
Evaluations at Work: Measuring the Capabilities of GenAI in Use—0
Choices or constraints: decoding financial empowerment among women entrepreneurs in France—0
Angle diversity receiver as a key enabler for reliable ORIS-based Visible Light Communication—0
UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation—0
A Comprehensive Analysis of Large Language Model Outputs: Similarity, Diversity, and Bias—0
MrTrack: Register Mamba for Needle Tracking with Rapid Reciprocating Motion during Ultrasound-Guided Aspiration Biopsy—0
Closed-Form Information Capacity of Canonical Signaling ModelsCode0
A Practical Introduction to Deep Reinforcement Learning—0
STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives—0
SaFARi: State-Space Models for Frame-Agnostic Representation—0
Building-Block Aware Generative Modeling for 3D Crystals of Metal Organic Frameworks—0
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