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H. Madhavarao

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#artificial intelligence Preprint Oct 2026

CM-DPO: Constraint-Margin Direct Preference Optimization for LLM Planning

Direct Preference Optimization (DPO) treats all constraint violations equally: a $1 budget overshoot and a $1,000 overshoot induce the same training signal. It is also susceptible to length and style bias when preference pairs come from different model families. We introduce Constraint-Margin DPO (CM-DPO), which replac...

Rabimba Karanjai, Qun-Hui Gu, Hemanth Hegadehalli Madhavarao et al. · 0 citations
Preprint Jul 2026

Context Contamination in LLM Analysis of Network Security Logs: Poison with Passive Prompt Injection and Mitigation Evaluation

The results establish that LLM-based log analysis creates an inherent confused deputy vulnerability where untrusted data and trusted instructions compete indistinguishably for model attention, requiring defense in-depth architectures and continued human oversight for security-critical decisions.

Rabimba Karanjai, Yang Lu, H. Madhavarao et al. · 2 citations

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