Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique
arXiv:2602.13213v1 Announce Type: new Abstract: Commercial insurance underwriting is a labor-intensive process that requires manual review of extensive documentation to…
Prior-Guided Symbolic Regression: Towards Scientific Consistency in Equation Discovery
arXiv:2602.13021v2 Announce Type: replace-cross Abstract: Symbolic Regression (SR) aims to discover interpretable equations from observational data, with the potential to…
Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions
arXiv:2602.14279v1 Announce Type: cross Abstract: Eliciting information to reduce uncertainty about latent group-level properties from surveys and other collective assessments…
Reverse N-Wise Output-Oriented Testing for AI/ML and Quantum Computing Systems
arXiv:2602.14275v1 Announce Type: cross Abstract: Artificial intelligence/machine learning (AI/ML) systems and emerging quantum computing software present unprecedented testing challenges characterized…
Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
arXiv:2602.12430v2 Announce Type: replace-cross Abstract: The transition from monolithic language models to modular, skill-equipped agents marks a defining shift in…
AI Impact Summit | Explained: India AI Impact Summit 2026
The India AI Summit 2026 is expected to be a pivotal event in the global artificial intelligence landscape. Scheduled to…
GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
arXiv:2602.12316v1 Announce Type: new Abstract: Frontier AI systems are increasingly capable and deployed in high-stakes multi-agent environments. However, existing AI…
