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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 2876–2900 of 9051 papers

TitleStatusHype
Quality Diversity Imitation Learning—0
On the Modeling Capabilities of Large Language Models for Sequential Decision Making—0
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data—0
Task Diversity Shortens the ICL PlateauCode0
Only-IF:Revealing the Decisive Effect of Instruction Diversity on Generalization—0
Studying and Mitigating Biases in Sign Language Understanding Models—0
Knowledge Graph Based Agent for Complex, Knowledge-Intensive QA in Medicine—0
Presto! Distilling Steps and Layers for Accelerating Music Generation—0
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training—0
Dynamic Post-Hoc Neural Ensemblers—0
Decoding MIE: A Novel Dataset Approach Using Topic Extraction and Affiliation ParsingCode0
Towards Effective Counter-Responses: Aligning Human Preferences with Strategies to Combat Online TrollingCode0
Large Language Models can Achieve Social Balance—0
Improving Distribution Alignment with Diversity-based Sampling—0
AutoLoRA: AutoGuidance Meets Low-Rank Adaptation for Diffusion ModelsCode0
LLM-TOPLA: Efficient LLM Ensemble by Maximising DiversityCode0
PersoBench: Benchmarking Personalized Response Generation in Large Language ModelsCode0
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and ChallengesCode0
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity—0
Can Language Models Reason about Individualistic Human Values and Preferences?—0
Text-guided Diffusion Model for 3D Molecule Generation—0
Scaling Parameter-Constrained Language Models with Quality Data—0
Deliberate Reasoning for LLMs as Structure-aware Planning with Accurate World Model—0
Multilingual Topic Classification in X: Dataset and Analysis—0
Correlation and Navigation in the Vocabulary Key Representation Space of Language ModelsCode0
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