<p>In this episode of #WiAIRpodcast, we dive into a subtle but critical question: Does adding reasoning actually make LLMs safer and more reliable?</p><p><br></p><p>Paper:<a href=" https://arxiv.org/abs/2510.21049" target="_blank" rel="noopener noreferer"> https://arxiv.org/abs/2510.21049</a></p><p><br></p><p>Atoosa Chegini (University of Maryland, Apple) presents Reasoning&#39;s Razor (EACL 2026), where she and her collaborators examine how reasoning impacts high-stakes binary classification tasks, including safety filtering and hallucination detection.</p><p><br></p><p>Their findings highlight an important nuance:</p><ul><li>While reasoning can improve overall accuracy, it may degrade performance at low false positive rates -- exactly where real-world systems need to operate.</li></ul><p>This conversation covers:</p><ul><li>Why accuracy is a misleading metric for safety-critical LLM applications</li><li>The importance of evaluating models at fixed false positive rates (FPR)</li><li>How two models with identical accuracy can behave completely differently in deployment</li><li>The impact of &quot;think-on&quot; (with reasoning) vs &quot;think-off&quot; (no reasoning) settings</li><li>Practical implications for RLHF, SFT, and post-training pipelines</li></ul><p>If you&#39;re working on:</p><ul><li>LLM evaluation &amp; reliability</li><li>AI safety or hallucination detection</li><li>Production deployment of language models</li></ul><p>— this discussion offers a perspective that is both technically grounded and immediately actionable.</p><p><br></p><p>Atoosa:</p><ul><li><a href="https://www.linkedin.com/in/atoosa-chegini-6713741a3/" target="_blank" rel="noopener noreferer">https://www.linkedin.com/in/atoosa-chegini-6713741a3/</a></li><li><a href="https://scholar.google.com/citations?user=5nY9tagAAAAJ&hl=en&oi=ao" target="_blank" rel="noopener noreferer">https://scholar.google.com/citations?user=5nY9tagAAAAJ&amp;hl=en&amp;oi=ao</a></li></ul><p>👍 Like &amp; subscribe for more deep dives into cutting-edge AI research</p><p>🔔 New episodes from EACL 2026 coming soon</p>