5 papers
Compiling Deterministic Structure into SLM Harnesses
Zan Kai Chong, Hiroyuki Ohsaki, Bryan Ng
Enterprise SLM deployment faces epistemic asymmetry: small models cannot self-correct reasoning errors, while frontier LLMs incur prohibitive costs and data sovereignty risks at sc…
The Silent Scholar Problem: A Probabilistic Framework for Breaking Epistemic Asymmetry in LLM Agents
Zan-Kai Chong, Hiroyuki Ohsaki, Bryan Ng
Autonomous agents powered by LLMs and Retrieval-Augmented Generation (RAG) are proficient consumers of digital content but remain unidirectional, a limitation we term epistemic asy…
Tractable Asymmetric Verification for Large Language Models via Deterministic Replicability
Zan-Kai Chong, Hiroyuki Ohsaki, Bryan Ng
The landscape of Large Language Models (LLMs) shifts rapidly towards dynamic, multi-agent systems. This introduces a fundamental challenge in establishing computational trust, spec…
Proof of Useful Intelligence (PoUI): Blockchain Consensus Beyond Energy Waste
Zan-Kai Chong, Hiroyuki Ohsaki, Bryan Ng
Blockchain technology enables secure, transparent data management in decentralized systems, supporting applications from cryptocurrencies like Bitcoin to tokenizing real-world asse…
LLM-Net: Democratizing LLMs-as-a-Service through Blockchain-based Expert Networks
Zan-Kai Chong, Hiroyuki Ohsaki, Bryan Ng
The centralization of Large Language Models (LLMs) development has created significant barriers to AI advancement, limiting the democratization of these powerful technologies. This…