Redefining Retrieval Evaluation in the Era of LLMs
arxiv.org·1d
🔍Information Retrieval
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Introducing Query groups in Search Console Insights
developers.google.com·22h
🧠Query Planners
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Post-Training Generative Recommenders with Advantage-Weighted Supervised Finetuning
🎛️Feed Filtering
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AI-powered search engines rely on “less popular” sources, researchers find
arstechnica.com·8h
🤖AI Curation
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PREFINE: Personalized Story Generation via Simulated User Critics and User-Specific Rubric Generation
arxiv.org·1h
🎯Content Recommendation
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Generalized Top-k Mallows Model for Ranked Choices
arxiv.org·1h
🧠Learned Indexing
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Why 80% of Brands Disappear by Prompt Three – and How to Measure If You're One
🎯Recommendation Metrics
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How to Scale LLM Apps Without Exploding Your Cloud Bill
hackernoon.com·1d
📄Text Chunking
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Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)
arxiv.org·1h
💻Local LLMs
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Automated Heuristic-Driven UX Persona Synthesis via Multi-Modal Data Fusion & Bayesian Inference
🎛️Feed Filtering
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Framework for Machine Evaluation of Reasoning Completeness in Large Language Models For Classification Tasks
arxiv.org·1h
🧠Intelligence Compression
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Compositional Bias Control in Large Language Models: Preference Learning Fails, Supervision Succeeds
arxiv.org·1h
🎛️Feed Filtering
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Think before Recommendation: Autonomous Reasoning-enhanced Recommender
arxiv.org·1h
🎯Content Recommendation
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Adaptive Dual Prompting: Hierarchical Debiasing for Fairness-aware Graph Neural Networks
arxiv.org·1h
🎛️Feed Filtering
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FairJudge: MLLM Judging for Social Attributes and Prompt Image Alignment
arxiv.org·1h
🏛Digital humanities
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How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation
arxiv.org·1d
🔗Constraint Handling
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Understanding Network Behaviors through Natural Language Question-Answering
arxiv.org·1h
📝ABNF Parsing
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