{"slug": "research-feedback-requested-epistemic-shield-adversarial-epistemic-calibration", "title": "Research feedback requested: Epistemic Shield — adversarial epistemic calibration for LLM outputs", "summary": "Sam Siram released an experimental framework, Epistemic Shield, on GitHub that treats an LLM's first answer as a provisional hypothesis and applies adversarial epistemic calibration to reduce unsupported assertions. The framework introduces structured skepticism and asymmetric penalties to improve calibration and hallucination resistance, and Siram is seeking technical feedback, benchmark suggestions, and collaborators.", "body_md": "I built an experimental framework that treats an LLM’s first answer as a provisional hypothesis rather than as publishable output.\n\nThe pipeline:\n\nThe conceptual motivation is what I call an **“impostor-like epistemic mechanism”**: deliberately introducing structured skepticism when the cost of unsupported assertions is high.\n\nI am looking for technical criticism, suggestions for benchmarks, and collaborators interested in testing whether this architecture actually improves calibration or hallucination resistance.\n\nCode and documentation: [sam-siram/epistemic-shield: Framework de Calibración Epistémica, Autocrítica Adversarial y Penalización Asimétrica para LLMs.](https://github.com/sam-siram/epistemic-shield/)", "url": "https://wpnews.pro/news/research-feedback-requested-epistemic-shield-adversarial-epistemic-calibration", "canonical_source": "https://discuss.huggingface.co/t/research-feedback-requested-epistemic-shield-adversarial-epistemic-calibration-for-llm-outputs/179159#post_1", "published_at": "2026-08-23 18:07:09+00:00", "updated_at": "2026-08-23 18:13:28.331237+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-research", "ai-safety"], "entities": ["Sam Siram", "Epistemic Shield", "GitHub"], "alternates": {"html": "https://wpnews.pro/news/research-feedback-requested-epistemic-shield-adversarial-epistemic-calibration", "markdown": "https://wpnews.pro/news/research-feedback-requested-epistemic-shield-adversarial-epistemic-calibration.md", "text": "https://wpnews.pro/news/research-feedback-requested-epistemic-shield-adversarial-epistemic-calibration.txt", "jsonld": "https://wpnews.pro/news/research-feedback-requested-epistemic-shield-adversarial-epistemic-calibration.jsonld"}}