#ml-efficiency News & Analysis

2 articles tagged with #ml-efficiency. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 297/10

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LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation

LoopFM introduces a novel knowledge distillation framework that transfers rich intermediate representations from large foundation models to compact vertical models, achieving significant conversion improvements (0.5-1.22%) in industrial-scale systems by structuring FM embeddings as input features rather than relying on single scalar predictions.

AINeutralarXiv – CS AI · Jun 106/10

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Provenance-Grounded Gating and Adaptive Recovery in Synthetic Post-Training Data Curation

Researchers present a controlled study on synthetic data curation for post-training large language models, examining whether filtering decisions are grounded in source evidence and whether rejected samples can be recovered. Their findings show that provenance-aware filtering improves faithfulness detection, different gate types catch different errors, and adaptive recovery strategies significantly improve overall yield compared to simple resampling.