NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
Abstract: Current state-of-the-art plug-and-play countermeasures for mitigating adversarial examples (i.e., purification and detection) exhibit several fatal limitations, impeding their deployment in ...
The accessibility tree decides whether an AI agent can read and act on your page. The 2026 data says the web is getting ...
Agent frameworks weren’t designed to evaluate every agent action against policies and compliance requirements. We need a ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results