#model-performance2 articles

2 articles

AIBullisharXiv – CS AI · 4h ago4

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MMKG-RDS: Reasoning Data Synthesis via Deep Mining of Multimodal Knowledge Graphs

Researchers introduce MMKG-RDS, a framework that uses multimodal knowledge graphs to synthesize high-quality training data for improving AI model reasoning abilities. Testing on Qwen3 models showed 9.2% improvement in reasoning accuracy, with applications for complex benchmark construction involving tables and formulas.

AIBullisharXiv – CS AI · 4h ago8

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RE-PO: Robust Enhanced Policy Optimization as a General Framework for LLM Alignment

Researchers introduce RE-PO (Robust Enhanced Policy Optimization), a new framework that addresses noise in human preference data used to train large language models. The method uses expectation-maximization to identify unreliable labels and reweight training data, improving alignment algorithm performance by up to 7% on benchmarks.

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