Index-Level Adversarial Memorization — When Retrieval Encodes Wrong Entity-Context Bindings
A false association does not have to be learned during pretraining. It can be preserved and amplified by the retrieval …
Building the future, one commit at a time. Here are some of my open-source projects and research work.
A false association does not have to be learned during pretraining. It can be preserved and amplified by the retrieval …
When should a streaming pipeline pay for an LLM call? Cast as a risk-based sequential stopping problem, with six proved…
Historical narrative conflict detection using BM25 + knowledge graphs + belief graph reasoner, in preparation for ACL R…
Uncertainty-calibrated residual world models with 18% lower prediction error and deep ensemble uncertainty decompositio…
Guardian-Analyst two-tier edge intelligence with sub-2ms HMM routing on Jetson Orin Nano.
Multi-agent C/C++ vulnerability detection achieving ~96% detection rate vs Cppcheck 12%, with 95% cost reduction vs GPT…
Quotient space reasoning for LLMs: identifies 64-72% semantic redundancy and reduces token usage by 26.8%.
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…