3 papers
cs.AI2026
TRACE: Business Rule-Grounded Reasoning Curriculum for Knowledge-Preserving Parametric Tool Retrieval in Enterprise LLMs
Sai Shruthi Sistla, Ashutosh Hathidara, Christopher Toukmaji +2
Parametric retrieval enables LLMs to retrieve tools implicitly by assigning each API a unique virtual token and training the model to generate it via constrained beam search. Tools…
cs.AI2026
ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs
Ashutosh Hathidara, Sai Shruthi Sistla, Sebastian Schreiber +1
Large language models deployed as agents over large tool catalogs face a critical tool-retrieval bottleneck. As embedding-based retrieval approaches rely on compact encoders that m…
cs.AI2025
Planning Agents on an Ego-Trip: Leveraging Hybrid Ego-Graph Ensembles for Improved Tool Retrieval in Enterprise Task Planning
Sahil Bansal, Sai Shruthi Sistla, Aarti Arikatala +1
Effective tool pre-selection via retrieval is essential for AI agents to select from a vast array of tools when identifying and planning actions in the context of complex user quer…