Recommendation


Recommendation is the task of providing personalized suggestions to users based on their preferences and behavior.

Survey of Active Learning Hyperparameters: Insights from a Large-Scale Experimental Grid

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Jun 04, 2025
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Understanding and Meeting Practitioner Needs When Measuring Representational Harms Caused by LLM-Based Systems

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Jun 04, 2025
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N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion

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Jun 04, 2025
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MELABenchv1: Benchmarking Large Language Models against Smaller Fine-Tuned Models for Low-Resource Maltese NLP

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Jun 04, 2025
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Heterogeneous Graph Masked Contrastive Learning for Robust Recommendation

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May 30, 2025
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The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It

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May 30, 2025
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Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM Evaluation

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May 30, 2025
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Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem

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May 30, 2025
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Quantum computing and artificial intelligence: status and perspectives

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May 29, 2025
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Engineering Serendipity through Recommendations of Items with Atypical Aspects

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May 29, 2025
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