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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 2901–2950 of 9051 papers

TitleStatusHype
Correlation and Navigation in the Vocabulary Key Representation Space of Language ModelsCode0
Stochastic Sampling from Deterministic Flow Models—0
Breaking the mold: The challenge of large scale MARL specialization—0
Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks—0
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks—0
Quantifying User Coherence: A Unified Framework for Cross-Domain Recommendation Analysis—0
CrowdCounter: A benchmark type-specific multi-target counterspeech datasetCode0
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging—0
PersonaMath: Enhancing Math Reasoning through Persona-Driven Data Augmentation—0
Meta-TTT: A Meta-learning Minimax Framework For Test-Time Training—0
Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators—0
Leveraging Large Language Models to Enhance Personalized Recommendations in E-commerce—0
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting—0
Stars, Stripes, and Silicon: Unravelling the ChatGPT's All-American, Monochrome, Cis-centric Bias—0
Generate then Refine: Data Augmentation for Zero-shot Intent DetectionCode0
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration—0
Improved Generation of Synthetic Imaging Data Using Feature-Aligned DiffusionCode0
Exploring Social Media Image Categorization Using Large Models with Different Adaptation Methods: A Case Study on Cultural Nature's Contributions to People—0
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs—0
COLLAGE: Collaborative Human-Agent Interaction Generation using Hierarchical Latent Diffusion and Language Models—0
Erase, then Redraw: A Novel Data Augmentation Approach for Free Space Detection Using Diffusion Model—0
DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer LearningCode0
Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding—0
Text-driven Human Motion Generation with Motion Masked Diffusion Model—0
When Molecular GAN Meets Byte-Pair Encoding—0
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain AdaptationCode0
Investigating the Impact of Text Summarization on Topic Modeling—0
Introducing SDICE: An Index for Assessing Diversity of Synthetic Medical Datasets—0
WHOMP: Optimizing Randomized Controlled Trials via Wasserstein HomogeneityCode0
On the Power of Decision Trees in Auto-Regressive Language Modeling—0
Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications—0
Challenges of Generating Structurally Diverse GraphsCode0
Effects of AI Feedback on Learning, the Skill Gap, and Intellectual Diversity—0
Diverse Code Query Learning for Speech-Driven Facial Animation—0
Reducing Diversity to Generate Hierarchical Archetypes—0
GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation—0
Enriched Functional Tree-Based Classifiers: A Novel Approach Leveraging Derivatives and Geometric Features—0
Flat'n'Fold: A Diverse Multi-Modal Dataset for Garment Perception and Manipulation—0
Open-World Evaluation for Retrieving Diverse Perspectives—0
Text Image Generation for Low-Resource Languages with Dual Translation Learning—0
ID^3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition—0
EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation—0
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight AdjustmentCode0
The Impact of Designated Market Makers on Market Liquidity and Competition: A Simulation Approach—0
Emotional Dimension Control in Language Model-Based Text-to-Speech: Spanning a Broad Spectrum of Human Emotions—0
A Character-Centric Creative Story Generation via Imagination—0
Harnessing Diversity for Important Data Selection in Pretraining Large Language Models—0
Long-horizon Embodied Planning with Implicit Logical Inference and Hallucination Mitigation—0
Qualitative Insights Tool (QualIT): LLM Enhanced Topic Modeling—0
Automated test generation to evaluate tool-augmented LLMs as conversational AI agents—0
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