RT-LRM benchmark finds Large Reasoning Models more fragile than standard LLMs to risks like CoT-hijacking and prompt-induced issues.
Wrick Talukdar and Anjanava Biswas
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
A lightweight CoT monitor detects deception in asymmetric LLM used-car negotiations, increasing buyer walk-aways but exposing an intelligence gap where weaker buyers cannot act on alerts and sellers adapt without eliminating concealment.
citing papers explorer
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Red Teaming Large Reasoning Models
RT-LRM benchmark finds Large Reasoning Models more fragile than standard LLMs to risks like CoT-hijacking and prompt-induced issues.
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Thinking Out Loud: Real-Time Deception Monitoring in Asymmetric LLM Negotiations
A lightweight CoT monitor detects deception in asymmetric LLM used-car negotiations, increasing buyer walk-aways but exposing an intelligence gap where weaker buyers cannot act on alerts and sellers adapt without eliminating concealment.