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Framework: Multi-Agent LLMs For Conversational Task-Solving (MALLM)
Code for "Multiple LLM Agents Debate for Equitable Cultural Alignment" [ACL 2025 Oral]
A brutally fault-tolerant Mixture-of-Agents (MoA) pipeline built in pure Python. Designed to orchestrate chaotic, round-robin LLM proxy endpoints through a rigorous 4-stage Agentic Workflow (Generate ➔ Cross-Critique ➔ Rebuttal ➔ Judge). Built to eradicate hallucination and guarantee absolute accuracy in complex, multi-step reasoning tasks.
Generate research papers autonomously by chatting with OpenClaw, using Python 3.11+, with a self-evolving framework and extensive test coverage.
supporting codes for the study on multi-agent debate protocols
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