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Shubham Gaur

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#natural language process... Preprint Oct 2026

RELATE: An Evaluation Framework for measuring Relational Orientation of Large Language Models

Large language models (LLMs) are increasingly used for emotional support, raising concern that sustained use may draw users away from their real-world relationships. Yet existing evaluations primarily focus on the safety, empathy, or helpfulness of responses, leaving under-examined a relational question: where does the...

Shivam Shukla, Jihye Kim, Shubham Gaur et al. · 0 citations
#artificial intelligence Preprint Sep 2026

BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation Infrastructure

BenchShield is presented, a model-backed instrumentation layer for reward integrity in LLM-agent evaluation that grounds detection in a finite lifecycle model of an evaluation's reward-relevant events and achieves 96% accuracy in detecting reward hacking from infrastructure-side evidence.

Sheng-Han Zheng, Zong-Lin Di, Yimin Liu et al. · 0 citations

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