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Bhavna Agrawal

2 accepted papers

2026

SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search

AAAI 2026technical

Large Language Models (LLMs) often falter at complex planning tasks that require exploration and self-correction, as their linear reasoning process struggles to recover from early mistakes. While search algorithms like Monte Carlo Tree Search (MCTS) can explore alternatives, they are often ineffecti

Cited by 9Source ↗PDF ↗Scholar ↗
2023

SiWare: Contextual Understanding of Industrial Data for Situational Awareness

IJCAI 2023poster

SiWare is an AI-powered Knowledge Discovery system, that helps unlock new insights and accelerates data-driven decisions with contextualized Industrial data. SiWare links and fuses heterogeneous data sources with an industry semantic model leveraging multiple AI capabilities to provide system-wide v…

Cited by 0Source ↗PDF ↗Scholar ↗