20 citations · 36 across the 4 of their papers we have counts for
3 papers · 1 filter
Synthesis Through Simulation: Generating Coherent Enterprise Data via Scalable Agent-System Interaction
Yipeng Li, Ashutosh Hathidara, Jane Lo +3
Tool-calling agents have become central to enterprise AI, yet training and evaluating them at scale remains severely constrained due to business and legal restrictions on enterpris…
EDGEGEN: Improving Tool-Calling Agents Beyond Happy Paths with Synthetic Edge Case Generation
Harshavardhan Abichandani, Penny Chong, Jiyuan Shen +7
Tool-calling LLM agents are increasingly deployed in enterprise applications. However, effective evaluation and optimization require high-quality, diverse task datasets that are of…
Optimization before Evaluation: Evaluation with Unoptimised Prompts Can be Misleading
Nicholas Sadjoli, Tim Siefken, Atin Ghosh +2
Current Large Language Model (LLM) evaluation frameworks utilize the same static prompt template across all models under evaluation. This differs from the common industry practice…