3 papers
cs.LG2026
Verifiable Rewards for Calibrated Probabilistic Forecasting
Sadanand Singh, Allam Reddy, Manan Chopra
Reinforcement learning with verifiable rewards can in principle train calibrated probabilistic forecasters, since a proper scoring rule such as the Brier score is computed from out…
cs.LG2026
Beyond the Smile: A Hybrid Convolutional VAE for Crypto Volatility Surfaces
Sadanand Singh, Allam Reddy, Manan Chopra
We present a convolutional variational autoencoder for cryptocurrency implied-volatility surfaces, together with a deployable predictor that combines it with a quadratic smile re-f…
cs.IR2026
Beyond the Reranker: Do RAG Retrieval Enhancements Help Once a Strong Reranker Is Present?
Sadanand Singh, Allam Reddy, Manan Chopra
Retrieval-augmented generation (RAG) is routinely extended with methods meant to improve retrieval: query expansion, hierarchical and cross-document summarization, graph-based expa…