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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 1676–1700 of 9051 papers

TitleStatusHype
Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models—0
SPARQ: Synthetic Problem Generation for Reasoning via Quality-Diversity Algorithms—0
Antithetic Noise in Diffusion Models—0
The Lock-in Hypothesis: Stagnation by Algorithm—0
Noise Consistency Regularization for Improved Subject-Driven Image Synthesis—0
BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly—0
Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning—0
DIMCIM: A Quantitative Evaluation Framework for Default-mode Diversity and Generalization in Text-to-Image Generative Models—0
Line of Sight: On Linear Representations in VLLMs—0
Combating Misinformation in the Arab World: Challenges & Opportunities—0
Light and 3D: a methodological exploration of digitisation techniques adapted to a selection of objects from the Musée d'Archéologie Nationale—0
Kernel k-Medoids as General Vector Quantization—0
PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation—0
Can Foundation Models Generalise the Presentation Attack Detection Capabilities on ID Cards?—0
SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through Combat—0
When can in-context learning generalize out of task distribution?—0
AutoQD: Automatic Discovery of Diverse Behaviors with Quality-Diversity Optimization—0
Counterfactual reasoning: an analysis of in-context emergenceCode0
Subjective Perspectives within Learned Representations Predict High-Impact Innovation—0
Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data—0
The Determinants of Net Interest Margin in the Turkish Banking Sector: Does Bank Ownership Matter?—0
Softlog-Softmax Layers and Divergences Contribute to a Computationally Dependable Ensemble Learning—0
Generalized Lotka-Volterra systems with quenched random interactions and saturating functional response—0
Effects of Speaker Count, Duration, and Accent Diversity on Zero-Shot Accent Robustness in Low-Resource ASR—0
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions—0
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