Roberto Infante

I study awareness of unawareness in human and machine reasoning, with a focus on recognition of insufficiency: how a reasoner recognizes that the information available may not be enough for the task, even before it can identify what is missing.

I am interested in whether this recognition can be distinguished from uncertainty, what cues support it during ongoing reasoning, and how it develops into a control signal for sequential decisions about whether to continue searching or act.

I build controlled, matched tasks that go beyond final accuracy to compare how humans and language models monitor and regulate their reasoning.

Clusterwords

Clusterwords is a controlled semantic reasoning task based on Connections, designed for species-fair comparison of human and machine reasoning. Humans and language models receive matched problems and controlled word meanings, allowing us to manipulate information sufficiency and answer uncertainty separately.

Four words. Pick the two that belong together — then say why.

Why these two?

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I am building an automatic board-generation pipeline to create novel, controlled problems at scale. Later experiments extend the task to sequential reasoning and information seeking.

Gentags: Discrete Semantic State for Constraint-Sensitive Decision Pipelines 2025 – 2026

First-author preprint introducing Gentags, a representation that compresses source text into short, evidence-grounded semantic units used as inspectable intermediate state in LLM decision pipelines. In a controlled study isolating representation structure, Gentags raised agreement with full-evidence decisions to 79.5% (vs. 52.3–61.6% for RAKE/YAKE/TF-IDF) and hard-constraint satisfaction to 97.3% (vs. 84.7–89.3%). [PDF]

Reading

A shelf around cognition, computation, and decision-making. Drag the shelf; the laptop on the right holds the papers. Read and the next on the line.

press the arrow keys to change the paper on the laptop, click the screen to open ittap the arrows to change the paper, tap the screen to open it