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 1601–1625 of 9051 papers

TitleStatusHype
Mixture of Experts in Large Language Models—0
Sparse Regression Codes exploit Multi-User Diversity without CSI—0
Step-wise Policy for Rare-tool Knowledge (SPaRK): Offline RL that Drives Diverse Tool Use in LLMsCode0
Turning the Tide: Repository-based Code Reflection—0
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality—0
MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image RetrievalCode0
AdaptaGen: Domain-Specific Image Generation through Hierarchical Semantic Optimization Framework—0
MEDTalk: Multimodal Controlled 3D Facial Animation with Dynamic Emotions by Disentangled Embedding—0
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Movie Recommendation—0
CTR-Guided Generative Query Suggestion in Conversational Search—0
3D Shape Generation: A Survey—0
Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review—0
Efficient Skill Discovery via Regret-Aware Optimization—0
A Hierarchical Deep Learning Approach for Minority Instrument DetectionCode0
OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs—0
How Good Are Synthetic Requirements ? Evaluating LLM-Generated Datasets for AI4RECode0
From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market ForecastingCode0
Cross-Layer Discrete Concept Discovery for Interpreting Language Models—0
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study—0
What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning—0
Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning—0
AdapThink: Adaptive Thinking Preferences for Reasoning Language Model—0
Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtypingCode0
PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis—0
Statistical Multicriteria Evaluation of LLM-Generated TextCode0
Show:102550
← PrevPage 65 of 363Next →

No leaderboard results yet.