theory
5 notes, newest first.
A Theory of Post-hoc Debate Judgement
In this research, Xiang Yin and colleagues propose a theory of post-hoc judgement for debates used by agentic AI. The goal is to improve the performance, explainability, and user engagement of AI agents through debate…
Eureka: Task-Conditioned Meta-Agent Orchestration for Scientific Discovery
The paper introduces Eureka, a Meta-Agent architecture that can complete long-horizon tasks by forming specialized Macro-Agents through receding-horizon planning and architecture promotion. The agents can evolve to…
Invariant Learning Dynamics of Transformers in Inductive Reasoning Tasks
The authors present a theoretical framework explaining the development of inductive reasoning abilities in Transformer language models. This framework applies to a wide range of inductive tasks and provides insights…
Theoria: Rewrite-Acceptability Verification over Informal Reasoning States
Theoria is a verification architecture presented by Ben Slivinski and Michael Saldivar that aims to address the issue of trust in AI systems' answers. It rewrites candidate solutions into a sequence of typed state…
Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms
This research presents a theoretical framework that explains why certain 'discarded' norms in contrastive embedding models, which were thought to be ignored during training, actually correlate with semantic properties…
