Author

Raad Khraishi

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Preprint Aug 2026

EvoTS-Agent: A Self-Evolving LLM Agent for Financial Time Series Change Point Detection

Financial time series exhibit non-stationary and heterogeneous statistical properties, making change-point detection challenging because no single unsupervised algorithm performs consistently across assets and market regimes. Conventional workflows consequently depend heavily on expert-driven model selection, feature d...

Lei Jiang, Yehua Wei, Xinyu Xi et al. · 0 citations

#artificial intelligence Mar 2026

Helping Customers in Distress: An LLM-powered Agent that Converses, Probes, and Routes

A customer-facing AI powered triaging agent that leverages large language models to conduct multi-turn conversations, ask relevant questions, and classify cases for accurate, policy-guided routing, making it embedded in the customer journey is developed.

Alankar Atreya, Stefan Sylvius Wanger, Devesh Batra et al. · arXiv.org · 0 citations

#artificial intelligence Review Aug 2026

When to Review: Spaced Repetition for Continual Pre-Training of Language Models

Spaced Repetition Training (SRT) is introduced, a continual learning framework inspired by cognitive science, which schedules sample-rehearsal using the SuperMemo-2 (SM-2) algorithm, and preserves broad benchmark performance that naive continual pre-training and uniform replay substantially degrade.

Alankar Atreya, Devesh Batra, Yoages Kumar Mantri et al. · 1 citation