3 papers
cs.AI2026
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…
cs.AI2026
Talk, Evaluate, Diagnose: User-aware Agent Evaluation with Automated Error Analysis
Penny Chong, Harshavardhan Abichandani, Jiyuan Shen +4
Agent applications are increasingly adopted to automate workflows across diverse tasks. However, due to the heterogeneous domains they operate in, it is challenging to create a sca…
cs.CV2025
MS-GAGA: Metric-Selective Guided Adversarial Generation Attack
Dion J. X. Ho, Gabriel Lee Jun Rong, Niharika Shrivastava +3
We present MS-GAGA (Metric-Selective Guided Adversarial Generation Attack), a two-stage framework for crafting transferable and visually imperceptible adversarial examples against…