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cs.AI2026
Should We Type or Talk to LLM Agents? A Comprehensive Study of Voice and Keyboard Input Perturbations
Zizhao Hu, Nathan Elijah Segura, Mohammad Rostami +1
Human input reaches language models by typing or speaking, and each channel leaves a distinct signature: orthographic noise for keyboards; for voice, disfluency from conventional t…
cs.AI2026
Can You Trust the Confidence? ConfBench for Vision-Language Models on Document Extraction
Priyashree Roy, Sujitha Martin, Mohammad Rostami +6
Intelligent document processing (IDP) with vision-language models (VLMs) hinges on confidence scores trustworthy enough to route extractions between automation and human review. Ex…
cs.AI2026
Expert Personas Improve LLM Alignment but Damage Accuracy: Bootstrapping Intent-Based Persona Routing with PRISM
Zizhao Hu, Mohammad Rostami, Jesse Thomason
Persona prompting can steer LLM generation towards a domain-specific tone and pattern. This behavior enables use cases in multi-agent systems where diverse interactions are crucial…