repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
mehaksharma2949/India_runs_data_and_ai_challenge
AI-powered candidate ranking system using Sentence Transformers, semantic search, and behavioral scoring.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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- LinkedLinked via unknownA new era for AI Search →
- LinkedLinked via unknownREAR: Test-time Preference Realignment through Reward Decomposition →
- LinkedLinked via unknownOverview of the TalentCLEF 2026: Skill and Job Title Intelligence for Human Capital Management →
- PossiblePossibly related (embedding) · 47%HaloGuard 1.0: An Open Weights Constitutional Classifier for Multilingual AI Safety →
- PossiblePossibly related (embedding) · 50%AI in talent selection: how to improve recruitment, reduce bias and enhance the candidate experience - telefonica.com →
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Implements
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paperHPRO: Hierarchical Progressive Reward Optimization via Preference Extraction for Emotional Text-to-SpeechpaperREAR: Test-time Preference Realignment through Reward DecompositionpaperOverview of the TalentCLEF 2026: Skill and Job Title Intelligence for Human Capital ManagementpaperHaloGuard 1.0: An Open Weights Constitutional Classifier for Multilingual AI SafetypaperTask Decomposition-Guided Reranking for Adaptive Agent Skill Retrieval
Covers (incoming)
Related across the graph
paperTask Decomposition-Guided Reranking for Adaptive Agent Skill RetrievalnewsAI in talent selection: how to improve recruitment, reduce bias and enhance the candidate experience - telefonica.comnewsA new era for AI SearchpaperPrompt Injection in Automated Résumé Screening with Large Language Models: Single and Multi-Injection SettingspaperHPRO: Hierarchical Progressive Reward Optimization via Preference Extraction for Emotional Text-to-SpeechpaperOverview of the TalentCLEF 2026: Skill and Job Title Intelligence for Human Capital ManagementpaperHaloGuard 1.0: An Open Weights Constitutional Classifier for Multilingual AI SafetypaperREAR: Test-time Preference Realignment through Reward DecompositionpaperDesigning Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job Search