Author

Vaishak Belle

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#artificial intelligence Preprint Oct 2026

Agentic Cognitive Depth: Operational Criteria for Evaluating LLM Agents

Agentic large language model (LLM) systems are commonly implemented as an LLM in a loop with Planning, Memory, Tools, and Control Flow. This application-focused view connects agentic LLM research with deployable systems and leaves open how such systems should be evaluated beyond end-to-end task success. Building on thi...

Nijesh Upreti, Chris Sypherd, Vaishak Belle · 0 citations

#artificial intelligence Preprint Sep 2026

Soft Symbol Grounding for Prototypical Concepts

Neuro-symbolic models are usually trained with supervision only on final labels, leaving the intermediate concepts unobserved. Since many concept assignments are consistent with a given label, training can predict labels correctly while recovering the wrong concepts, a failure known as a reasoning shortcut. Prototypica...

Marcos Galván-López, Nijesh Upreti, Hiram Calvo et al. · 0 citations