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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 6201–6225 of 9051 papers

TitleStatusHype
When and How Does CLIP Enable Domain and Compositional Generalization?—0
When can in-context learning generalize out of task distribution?—0
When Costly Punishment Becomes Evolutionarily Beneficial—0
When Debate Fails: Bias Reinforcement in Large Language Models—0
When does cyclic dominance lead to stable spiral waves?—0
When does Diversity Help Generalization in Classification Ensembles?—0
When Do Luxury Cars Hit the Road? Findings by A Big Data Approach—0
When Ensembling Smaller Models is More Efficient than Single Large Models—0
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions—0
When Harry Meets Superman: The Role of The Interlocutor in Persona-Based Dialogue Generation—0
When Hillclimbers Beat Genetic Algorithms in Multimodal Optimization—0
When Is Diversity Rewarded in Cooperative Multi-Agent Learning?—0
When Less Is More: A Sparse Facial Motion Structure For Listening Motion Learning—0
When Molecular GAN Meets Byte-Pair Encoding—0
When More Data Hurts: Optimizing Data Coverage While Mitigating Diversity Induced Underfitting in an Ultra-Fast Machine-Learned Potential—0
When One LLM Drools, Multi-LLM Collaboration Rules—0
When should agents explore?—0
Where Are We? Evaluating LLM Performance on African Languages—0
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?—0
Which Channel in 6G, Low-rank or Full-rank, more needs RIS from a Perspective of DoF?—0
Who are the gatekeepers of economics? Geographic diversity, gender composition, and interlocking editorship of journal boards—0
Who is Undercover? Guiding LLMs to Explore Multi-Perspective Team Tactic in the Game—0
Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity—0
Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots—0
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study—0
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