1 citations · 1 across the 10 of their papers we have counts for
10 papers
EvoTS-Agent: A Self-Evolving LLM Agent for Financial Time Series Change Point Detection
Lei Jiang, Ye Wei, Xinyu Xi +7
Financial time series exhibit non-stationary and heterogeneous statistical properties, making change-point detection challenging because no single unsupervised algorithm performs c…
When to Review: Spaced Repetition for Continual Pre-Training of Language Models
Alankar Atreya, Devesh Batra, Yoages Kumar Mantri +3
Continual pre-training of large language models must acquire new information without erasing old knowledge. Existing replay methods often choose a global old/new mixture and sample…
Large-Scale ChatBot Validation Through Customer Digital Twin Simulations
Cristovao Iglesias, Devesh Batra, Alankar Atreya +7
LLM-based chatbots are transforming customer service in regulated domains such as banking, but scalable and cost-effective validation remains a critical barrier to safe deployment.…
MOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition
Yifan Bao, Xinyu Xi, Xinyu Liu +8
Automated data science is a structured model-selection problem. A solution must choose data transformations, feature representations, architecture, training procedure, evaluation p…
Helping Customers in Distress: An LLM-powered Agent that Converses, Probes, and Routes
Alankar Atreya, Stefan Sylvius Wanger, Devesh Batra +7
Banks receive millions of reports of fraud, scams, and disputed transactions every year, making it challenging to accurately direct customers to the appropriate specialist teams fo…
Evaluating Performance Drift from Model Switching in Multi-Turn LLM Systems
Raad Khraishi, Iman Zafar, Katie Myles +1
Deployed multi-turn LLM systems routinely switch models mid-interaction due to upgrades, cross-provider routing, and fallbacks. Such handoffs create a context mismatch: the model g…