SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1751–1800 of 9051 papers

TitleStatusHype
Hybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event DetectionCode0
Towards Pretraining Robust ASR Foundation Model with Acoustic-Aware Data Augmentation—0
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning—0
CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data SynthesisCode0
EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition—0
ReDDiT: Rehashing Noise for Discrete Visual Generation—0
DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving—0
Token-Importance Guided Direct Preference Optimization—0
We Need to Measure Data Diversity in NLP -- Better and Broader—0
The Role of Diversity in In-Context Learning for Large Language Models—0
Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals—0
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory—0
Holes in Latent Space: Topological Signatures Under Adversarial Influence—0
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks—0
The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages—0
Kuramoto-FedAvg: Using Synchronization Dynamics to Improve Federated Learning Optimization under Statistical Heterogeneity—0
VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection—0
The Price of Format: Diversity Collapse in LLMsCode0
PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders—0
MGD^3: Mode-Guided Dataset Distillation using Diffusion Models—0
Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions—0
Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders—0
Pan-tropical plant functional trait variation from space—0
SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs—0
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images—0
LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs—0
Voice of a Continent: Mapping Africa's Speech Technology Frontier—0
ToDRE: Visual Token Pruning via Diversity and Task Awareness for Efficient Large Vision-Language Models—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
Large language model as user daily behavior data generator: balancing population diversity and individual personality—0
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language ModelsCode0
CrashAgent: Crash Scenario Generation via Multi-modal Reasoning—0
Generative AI and Creativity: A Systematic Literature Review and Meta-AnalysisCode0
Exploring the Relationship Between Diversity and Quality in Ad Text Generation—0
Position of Uncertainty: A Cross-Linguistic Study of Positional Bias in Large Language Models—0
Robust Invariant Representation Learning by Distribution Extrapolation—0
Sudoku-Bench: Evaluating creative reasoning with Sudoku variantsCode0
Diverse, not Short: A Length-Controlled Self-Learning Framework for Improving Response Diversity of Language Models—0
Can LLMs Simulate Human Behavioral Variability? A Case Study in the Phonemic Fluency Task—0
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners—0
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions—0
Swarm Intelligence Enhanced Reasoning: A Density-Driven Framework for LLM-Based Multi-Agent Optimization—0
Aug2Search: Enhancing Facebook Marketplace Search with LLM-Generated Synthetic Data Augmentation—0
GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generation—0
Multilingual Prompting for Improving LLM Generation Diversity—0
FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion—0
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets—0
GAMA++: Disentangled Geometric Alignment with Adaptive Contrastive Perturbation for Reliable Domain Transfer—0
An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology—0
Show:102550
← PrevPage 36 of 182Next →

No leaderboard results yet.