3 papers
cs.AR2026
BOOSTEDSOSA: Accelerated Inferencing for Low Variance Stochastic Online Scheduling
Adam H. Ross, Riccardo Revalor, Aryan Singh +2
Heterogeneous scheduling in stochastic, online envi- ronments, such as high-performance computing (HPC) systems, presents a significant challenge. Stochastic Online Scheduling Acce…
cs.CL2026
Can We Trust LLM's Logic? Quantifying Uncertainty, Coherence, and Robustness via a Graph-Based Framework
Riccardo Revalor, Jalees Rehman, Debjit Pal
Large-Language Models (LLMs) can be prone to flawed and unfaithful reasoning that decoding strategies like Self-Consistency (SC) fail to detect as they evaluate only final-answer a…
cs.SE2026
LAUDE: LLM-Assisted Unit Test Generation and Debugging of Hardware DEsigns
Deeksha Nandal, Riccardo Revalor, Soham Dan +1
Unit tests are critical in the hardware design lifecycle to ensure that component design modules are functionally correct and conform to the specification before they are integrate…