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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 151–175 of 9051 papers

TitleStatusHype
Diversity-Aware Policy Optimization for Large Language Model Reasoning—0
Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph LanguagesCode1
Adaptive Spatial Augmentation for Semi-supervised Semantic Segmentation—0
Generating Diverse Training Samples for Relation Extraction with Large Language Models—0
ZIPA: A family of efficient models for multilingual phone recognitionCode2
MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary ProgrammingCode2
Interspeech 2025 URGENT Speech Enhancement Challenge—0
Single Domain Generalization for Alzheimer's Detection from 3D MRIs with Pseudo-Morphological Augmentations and Contrastive LearningCode0
VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and BeyondCode0
Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates—0
Cultural Evaluations of Vision-Language Models Have a Lot to Learn from Cultural Theory—0
Jailbreak Distillation: Renewable Safety Benchmarking—0
From Failures to Fixes: LLM-Driven Scenario Repair for Self-Evolving Autonomous Driving—0
Incorporating LLMs for Large-Scale Urban Complex Mobility Simulation—0
AudioTurbo: Fast Text-to-Audio Generation with Rectified Diffusion—0
Analysis and Evaluation of Synthetic Data Generation in Speech Dysfluency DetectionCode1
PoisonSwarm: Universal Harmful Information Synthesis via Model Crowdsourcing—0
CNVSRC 2024: The Second Chinese Continuous Visual Speech Recognition Challenge—0
LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion—0
Response to comment on Mutualism weaken the latitudinal diversity gradient among oceanic islandsCode0
Conditional Diffusion Models with Classifier-Free Gibbs-like GuidanceCode0
Fundamental Limits of Game-Theoretic LLM Alignment: Smith Consistency and Preference Matching—0
Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event DetectionCode0
PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts—0
Towards Pretraining Robust ASR Foundation Model with Acoustic-Aware Data Augmentation—0
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