Background Temperature Reveals Hidden Randomness in LLMs
Discover how background temperature explains hidden randomness in large language models, improving reproducibility and evaluation.
When Does LLM Self-Correction Improve Accuracy?
Explore when iterative self-correction benefits large language models using control-theoretic Markov diagnostics and verify-first interventions.
Evaluating AI Strategic Reasoning Risks with ESRRSim Framework
Discover ESRRSim, a taxonomy-driven framework to assess emergent strategic reasoning risks in AI and ensure safer large language model deployment.
Memanto: Efficient Typed Semantic Memory for AI Agents
Discover Memanto's innovative typed semantic memory with fast, info-theoretic retrieval that boosts long-horizon AI agent performance and reliability.
Falsification-First Approach for AI-Driven Science
Adopt adversarial experiments and critical evaluation to ensure credible AI-assisted scientific research and prevent misleading claims.