11 Research Papers Accepted at AAAI-26
Summary
AIXC Research had 11 peer‑reviewed workshop papers accepted to AAAI‑26 covering drug discovery, autonomous research agents, neuro‑symbolic reasoning, legal AI, and financial services. The submissions include three drug‑discovery papers (agentic causal graph learning, advanced generative de novo design, and active learning with Bayesian optimization) and papers introducing a differentiable virtual lab (PD‑NCA AutoLab) and the Graph of Thoughts paradigm for structured scientific reasoning. Other highlights include neuro‑symbolic systems for Alzheimer’s biomarker prediction and verifiable intervention planning, explainable neuro‑symbolic arbitration tools, nanobiomaterials multi‑agent assistants, and methods to distill symbolic reasoning into LLMs. The collection emphasizes agentic, verifiable, and causal approaches aimed at enabling autonomous scientific discovery and domain‑specific AI systems.