3 papers
cs.LG2026
StealthRL: Reinforcement Learning Paraphrase Attacks for Multi-Detector Evasion of AI-Text Detectors
Suraj Ranganath, Atharv Ramesh
AI-text detectors are increasingly used in high-stakes settings, but their robustness to meaning-preserving adversarial rewriting remains unclear. We introduce StealthRL, a reinfor…
cs.DB2026
PIPE-RDF: An LLM-Assisted Pipeline for Enterprise RDF Benchmarking
Suraj Ranganath
Enterprises rely on RDF knowledge graphs and SPARQL to expose operational data through natural language interfaces, yet public KGQA benchmarks do not reflect proprietary schemas, p…
cs.LG2026
Where Bits Matter in World Model Planning: A Paired Mixed-Bit Study for Efficient Spatial Reasoning
Suraj Ranganath, Anish Patnaik, Vaishak Menon
Efficient spatial reasoning requires world models that remain reliable under tight precision budgets. We study whether low-bit planning behavior is determined mostly by total bitwi…