11 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.AI2025
Adaptive Data Flywheel: Applying MAPE Control Loops to AI Agent Improvement
Aaditya Shukla, Sidney Knowles, Meenakshi Madugula +9
Enterprise AI agents must continuously adapt to maintain accuracy, reduce latency, and remain aligned with user needs. We present a practical implementation of a data flywheel in N…
cs.CL2025
ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
Shu Zhao, Tan Yu, Anbang Xu +3
Reasoning-augmented search agents such as Search-R1, trained via reinforcement learning with verifiable rewards (RLVR), demonstrate remarkable capabilities in multi-step informatio…
cs.LG2024★ 11 cited
FACTS About Building Retrieval Augmented Generation-based Chatbots
Rama Akkiraju, Anbang Xu, Deepak Bora +35
Enterprise chatbots, powered by generative AI, are emerging as key applications to enhance employee productivity. Retrieval Augmented Generation (RAG), Large Language Models (LLMs)…