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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 3301–3350 of 9051 papers

TitleStatusHype
Training Task Experts through Retrieval Based Distillation—0
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration—0
Harmony in Diversity: Merging Neural Networks with Canonical Correlation AnalysisCode0
The Solution for Language-Enhanced Image New Category Discovery—0
Progress or Regress? Self-Improvement Reversal in Post-training—0
Enhancing learning in spiking neural networks through neuronal heterogeneity and neuromodulatory signaling—0
VRSD: Rethinking Similarity and Diversity for Retrieval in Large Language Models—0
Few-Shot Airway-Tree Modeling using Data-Driven Sparse Priors—0
A Survey of Data Synthesis ApproachesCode0
On the Effectiveness of Acoustic BPE in Decoder-Only TTS—0
Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics and Future Research Directions—0
Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data—0
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts—0
Regurgitative Training: The Value of Real Data in Training Large Language Models—0
Reinforcement Learning for Sequence Design Leveraging Protein Language Models—0
Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate MetricCode0
Towards a Scalable Reference-Free Evaluation of Generative ModelsCode0
Advanced Framework for Animal Sound Classification With Features Optimization—0
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning—0
Semantically Rich Local Dataset Generation for Explainable AI in GenomicsCode0
ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social InteractionsCode0
Generative Monoculture in Large Language ModelsCode0
Investigating the Effects of Large-Scale Pseudo-Stereo Data and Different Speech Foundation Model on Dialogue Generative Spoken Language Model—0
Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs—0
Pictures Of MIDI: Controlled Music Generation via Graphical Prompts for Image-Based Diffusion Inpainting—0
The #Somos600M Project: Generating NLP resources that represent the diversity of the languages from LATAM, the Caribbean, and Spain—0
Modified CMA-ES Algorithm for Multi-Modal Optimization: Incorporating Niching Strategies and Dynamic Adaptation Mechanism—0
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets—0
Analyzing Persuasive Strategies in Meme Texts: A Fusion of Language Models with Paraphrase Enrichment—0
Iterative Data Generation with Large Language Models for Aspect-based Sentiment Analysis—0
A survey on the impact of AI-based recommenders on human behaviours: methodologies, outcomes and future directions—0
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented InterventionCode0
Multi-task multi-constraint differential evolution with elite-guided knowledge transfer for coal mine integrated energy system dispatching—0
Deep Reinforcement Learning Strategies in Finance: Insights into Asset Holding, Trading Behavior, and Purchase Diversity—0
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models—0
CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models—0
Paraphrase Types Elicit Prompt Engineering CapabilitiesCode0
Surrogate-assisted evolutionary framework with an ensemble of teaching-learning and differential evolution for expensive optimizationCode0
Doc2Token: Bridging Vocabulary Gap by Predicting Missing Tokens for E-commerce Search—0
Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning—0
Detection and Measurement of Syntactic Templates in Generated Text—0
Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument GenerationCode0
Factor-Conditioned Speaking-Style Captioning—0
OTFS-NOMA System for MIMO Communication Networks with Spatial Diversity—0
Manipulate-Anything: Automating Real-World Robots using Vision-Language Models—0
Are Generative Language Models Multicultural? A Study on Hausa Culture and Emotions using ChatGPT—0
EmPO: Emotion Grounding for Empathetic Response Generation through Preference OptimizationCode0
The Great AI Witch Hunt: Reviewers Perception and (Mis)Conception of Generative AI in Research Writing—0
Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts—0
Data Generation Using Large Language Models for Text Classification: An Empirical Case Study—0
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