Decagon's Agent Operating Procedures (AOPs) let AI agent skills embed deterministic, code-level rules that execute without model discretion, according to a Medium blog post on packaged skills. The pos…
Researchers propose inference-time mitigation strategies using Chain of Thought prompting and Direct Preference Optimization to shield large language models from adversarial political bias, raising Po…
Large language models fail to refute the Jacobian Conjecture because they optimize for producing outputs that look like proofs rather than being logically valid, according to an analysis of AI interpr…
Researchers propose ThinkDeception, a novel framework that uses multimodal large language models and chain-of-thought reasoning to detect deception with interpretability. It introduces a progressive t…