doxtor6

AI × Code × Games

I work at the intersection of large language models, autonomous agents, and formal mathematics. My focus areas include LLM theory, agentic frameworks for autoformalization, and AI-driven gaming & VTubing systems.

I'm building MerLean, an agentic framework for autoformalization in quantum computation using Lean 4, and exploring the theoretical foundations of memory and consciousness in large language models.

I also design advanced AI agents with persistent memory and autonomous decision-making for dynamic game content and virtual worlds.

doxtor6 avatar
AI Researcher & Developer
LLM · Agents · Lean 4

News

Feb 2026
Released MerLean — an agentic framework for autoformalization in quantum computation using Lean 4.
Spring 2025
Launched AI VTuber project — building autonomous virtual streamers with real-time game interaction and audience engagement.
Jan 2024
Posted Memory, Consciousness and Large Language Model on arXiv — exploring the duality between LLMs and Tulving's memory theory.

Research

My work spans three areas at the intersection of AI theory, formal methods, and interactive systems:

01

LLM Theory & Consciousness

Investigating the theoretical foundations of large language models — memory architectures, emergent abilities, and the duality between LLMs and cognitive memory theory.

LLM Emergence Memory Cognition
02

Autoformalization & Lean 4

Building agentic frameworks that bridge natural-language mathematics and formal proof assistants, with applications in quantum computation.

Lean 4 MerLean Proof Assistants
03

AI Agents & Gaming

Designing autonomous agents with persistent memory and decision-making for dynamic game content, VTubing, and interactive virtual worlds.

AI Agents Gaming VTubing

Featured Project

MerLean

An agentic framework for autoformalization in quantum computation. MerLean uses LLM agents to translate informal mathematical statements into formally verified Lean 4 proofs, focusing on quantum information theory.

Publications

Yuanjie Ren*, Jinzheng Li*, Yidi Qi* (equal contribution)
2026
Auto-formalization AI Agent Machine Learning
Jinzheng Li, Jitang Li
arXiv:2401.02509, 2024
LLM Consciousness Machine Learning

Projects

MerLean — An agentic framework for autoformalization in quantum computation. MerLean translates informal mathematical statements into formally verified Lean 4 proofs, bridging the gap between natural-language math and machine-checked reasoning.

Memory & Consciousness in LLMs — A theoretical investigation into the duality between large language models and Tulving's memory theory. We relate synergistic ecphory to emergent abilities in LLMs and propose that consciousness may itself be an emergent phenomenon.

Gaming & VTubing AI — Designing autonomous agents with persistent memory, long-horizon planning, and real-time decision-making for dynamic game content and interactive virtual worlds.