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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 201–250 of 9051 papers

TitleStatusHype
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images—0
LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs—0
ToDRE: Visual Token Pruning via Diversity and Task Awareness for Efficient Large Vision-Language Models—0
Large language model as user daily behavior data generator: balancing population diversity and individual personality—0
Measuring diversity of synthetic prompts and data generated with fine-grained persona prompting—0
High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework—0
BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting ModelsCode5
CrashAgent: Crash Scenario Generation via Multi-modal Reasoning—0
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language ModelsCode0
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions—0
Generative AI and Creativity: A Systematic Literature Review and Meta-AnalysisCode0
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory SynthesisCode4
Robust Invariant Representation Learning by Distribution Extrapolation—0
Can LLMs Simulate Human Behavioral Variability? A Case Study in the Phonemic Fluency Task—0
Sudoku-Bench: Evaluating creative reasoning with Sudoku variantsCode0
Exploring the Relationship Between Diversity and Quality in Ad Text Generation—0
Diverse, not Short: A Length-Controlled Self-Learning Framework for Improving Response Diversity of Language Models—0
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners—0
Position of Uncertainty: A Cross-Linguistic Study of Positional Bias in Large Language Models—0
Swarm Intelligence Enhanced Reasoning: A Density-Driven Framework for LLM-Based Multi-Agent Optimization—0
OpenEthics: A Comprehensive Ethical Evaluation of Open-Source Generative Large Language ModelsCode0
Aug2Search: Enhancing Facebook Marketplace Search with LLM-Generated Synthetic Data Augmentation—0
Ensembling Sparse Autoencoders—0
An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology—0
Multilingual Prompting for Improving LLM Generation Diversity—0
A Distributed Local Energy Market Clearing Framework Using a Two-Loop ADMM Method—0
Towards Pre-training an Effective Respiratory Audio Foundation ModelCode0
GAMA++: Disentangled Geometric Alignment with Adaptive Contrastive Perturbation for Reliable Domain Transfer—0
FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion—0
GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generation—0
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets—0
SSR: Speculative Parallel Scaling Reasoning in Test-time—0
WebNovelBench: Placing LLM Novelists on the Web Novel DistributionCode1
KO: Kinetics-inspired Neural Optimizer with PDE Simulation Approaches—0
The Achilles Heel of AI: Fundamentals of Risk-Aware Training Data for High-Consequence Models—0
Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models—0
CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring—0
Creative Preference Optimization—0
Success is in the Details: Evaluate and Enhance Details Sensitivity of Code LLMs through CounterfactualsCode0
Algorithmic Hiring and Diversity: Reducing Human-Algorithm Similarity for Better Outcomes—0
ReactDiff: Latent Diffusion for Facial Reaction GenerationCode0
SQLForge: Synthesizing Reliable and Diverse Data to Enhance Text-to-SQL Reasoning in LLMs—0
GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization—0
The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation—0
Towards A Generalist Code Embedding Model Based On Massive Data SynthesisCode0
Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping—0
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly DetectionCode2
Active Learning on Synthons for Molecular Design—0
Few-Step Diffusion via Score identity DistillationCode0
EuLearn: A 3D database for learning Euler characteristicsCode0
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