2 papers
cs.AI2026
Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning
Aamir Hamid, Bharg Barot, Satvik Racharla +3
While large language models (LLMs) enable strong question answering (QA), budgeted deployment is complicated by nondeterminism and heterogeneous resource profiles (cost, latency, a…
cs.CR2026
Verifying Provenance of Digital Media: Why the C2PA Specifications Fall Short
Enis Golaszewski, Neal Krawetz, Alan T. Sherman +8
The rapid rise of generative AI has made it easy to create convincing fake media at scale. In response, an industrial coalition has developed the Coalition for Content Provenance a…