Deep-Research-Bundles
Multi-agent RAG research system with 6 agent types, 4 execution modes, hybrid retrieval, and MCP protocol integration.
Building the future, one commit at a time. Here are some of my open-source projects and research work.
Multi-agent RAG research system with 6 agent types, 4 execution modes, hybrid retrieval, and MCP protocol integration.
In preparation for ACL Rolling Review (October cycle): Evidence-Based Dominance theorem proves evidence verification is…
Multi-agent C/C++ vulnerability detection achieving ~96% detection rate vs Cppcheck 12%, with 95% cost reduction vs GPT…
Accepted at NLPCC 2026. The first citation verification system that goes beyond existence checking to full semantic cla…
ML-aware caching for recommendation systems: 45% cache hit rate, 85% latency reduction on hits, and under 3% NDCG degra…
Quotient space reasoning for LLMs: identifies 64-72% semantic redundancy and reduces token usage by 26.8%.
KV cache optimization achieving 10-16x faster warm latency vs vLLM, validated across 84 tests on TinyLlama, Mistral-7B,…
A systematic security study formalizing Persistent Semantic Entities (PSEs) as a new attack surface in tool-augmented L…
Mechanism-designed belief aggregation for edge AI: VCG-based truthful elicitation achieves lower false negative rates t…