Author

Swapnil Parekh

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Preprint Aug 2026

From Gradient-Boosted Trees to Deep Recommenders: Practical Lessons from Migrating a Production Customer Support Recommender

Product catalogs in fast-moving service businesses are shifting from static, independently priced SKUs toward dynamically bundled, discount-coupled offerings--a shift that strains the tree-based classifiers traditionally preferred for sparse and highly imbalanced data. These classifiers assume a fixed, slowly changing...

Sonia Sharma, Jeyendran Balakrishnan, Shreyaa Rajpal et al. · 0 citations

#artificial intelligence May 2026

Drop the Act: Probe-Filtered RL for Faithful Chain-of-Thought Reasoning

ProFIL (**Pro**be-**Filtered Reinforcement Learning) is introduced to reduce theater, increase chain-of-thought faithfulness, and shrink chain length in a single, drop-in extension to Group Relative Policy Optimization (GRPO).

Swapnil Parekh, Naman Goyal · arXiv.org · 2 citations