https://martinuke0.github.io/tags/research-summary/ Recent content in Research Summary on martinuke0's Blog https://martinuke0.github.io/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E https://martinuke0.github.io/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E Hugo -- 0.152.2 en Fri, 03 Apr 2026 17:00:51 +0000 https://martinuke0.github.io/posts/2026-04-03-thinkncheck-making-ai-factcheckers-small-smart-and-transparent/ Fri, 03 Apr 2026 17:00:51 +0000 https://martinuke0.github.io/posts/2026-04-03-thinkncheck-making-ai-factcheckers-small-smart-and-transparent/ <h2 id="table-of-contents">Table of Contents</h2> <ol> <li><a href="#introduction">Introduction</a></li> <li><a href="#why-grounded-claim-verification-matters">Why Grounded Claim Verification Matters</a></li> <li><a href="#the-thinkncheck-blueprint">The ThinknCheck Blueprint</a> <ul> <li>3.1 <a href="#two%E2%80%91step-reasoning-rationale-first-verdict-second">Two‑Step Reasoning: Rationale First, Verdict Second</a></li> <li>3.2 <a href="#training-data-llmaggrefact%E2%80%91think">Training Data: LLMAggreFact‑Think</a></li> <li>3.3 <a href="#model-architecture%E2%80%91quantization">Model Architecture &amp; Quantization</a></li> </ul> </li> <li><a href="#performance-highlights-across-benchmarks">Performance Highlights Across Benchmarks</a> <ul> <li>4.1 <a href="#llmaggrefact-results">LLMAggreFact Results</a></li> <li>4.2 <a href="#scifact-gains">SciFact Gains</a></li> <li>4.3 <a href="#gsmclaims-and-domain%E2%80%91specialized-thinkncheck%E2%80%91science">GSMClaims and Domain‑Specialized ThinknCheck‑Science</a></li> </ul> </li> <li><a href="#why-explicit-reasoning-boosts-accuracy">Why Explicit Reasoning Boosts Accuracy</a></li> <li><a href="#interpretability-peeking-inside-the-black-box">Interpretability: Peeking Inside the Black Box</a></li> <li><a href="#real%E2%80%91world-implications-and-use-cases">Real‑World Implications and Use Cases</a></li> <li><a href="#limitations-and-future-directions">Limitations and Future Directions</a></li> <li><a href="#key-concepts-to-remember">Key Concepts to Remember</a></li> <li><a href="#conclusion">Conclusion</a></li> <li><a href="#resources">Resources</a></li> </ol> <hr> <h2 id="introduction">Introduction</h2> <p>The internet is awash with statements—some true, many dubious, and a few outright false. From breaking news headlines to scientific claims in research papers, the ability to <strong>verify</strong> whether a claim is grounded in evidence is becoming a cornerstone of trustworthy AI.</p>