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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

V. K. Madisetti

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Open access Sep 2026

Programmed Interventions To Prevent Delusions From Excessive Use of Conversational AI Bots

Large language models (LLMs) frequently endorse and elaborate on users’ delusional beliefs, a failure mode termed psychogenicity in the Psychosis-Bench study of Au Yeung et al., whose framing we adopt. We present the first systematic evaluation of whether anti-sycophancy interventions transfer to psychosis-relevant con...

Lorenzo de la Loza, V. K. Madisetti · 0 citations
Open access 2026

Training-Free Cross-Domain Learning Transfer in Reasoning Models

Large language models often solve problems within familiar domains but struggle to transfer the same reasoning strategy across domains with different surface vocabularies. We present COMETS (Cross-domain Memory Enrichment and Transfer System), a training-free framework for cross-domain reasoning transfer through explic...

Sonali Pandey, V. K. Madisetti · 0 citations

When Too Many Cooks Spoil the Broth: Three Failure Modes of Multi-Agent LLM Reliability

A three-phase framework treating self-confidence assessment, peer-resistance capability, and error correlation as orthogonal axes requiring distinct training signals is proposed, and query-inherent rarity, not shared training, is identified as the dominant driver of correlated failure.

Aradhana Rai, V. K. Madisetti · 0 citations
Open access 2026

ANVIL-FL: Runtime-Aware Fault Localization for Code Generation and Debugging

By combining dynamic runtime signals with structured LLM prompting, this framework demonstrates that failure-proximal runtime context can yield accurate, explainable, and cost-effective method-level fault localization within the BugsInPy setting.

Ahman J. Smith, V. K. Madisetti · 0 citations

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