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Automatic Hindi pregroup assignment is feasible and can reduce reliance on manual annotation in future multilingual QNLP pipelines, and suffix/morphology features improve karaka-token accuracy but not overall performance.
DriftNet is presented, a dual-head trajectory Transformer that reads a logged tool-call trajectory and answers all three questions in one forward pass: one head classifies the trajectory as compromised or not, and a second assigns every step one of four labels (benign, injection point, hijacked, failed injection).
AgentDrift is presented, a benchmark of 12,536 synthetic tool-call trajectories over five agent domains in which every one of the 71,024 steps carries one of four labels: benign, injection point, hijacked, or failed injection; it is shown that the LLM judge was itself fooled by the hard negatives.
This paper addresses navigation by composite heterogeneous robots in a decentralized system when policy reasoning and local control operate at different update levels when policy reasoning and local control operate at different update levels using a NetLogo--Python implementation.
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