This work introduces PRISM-BN, a controlled corpus of 5054 BN-grounded descriptions paired with discrete reference BNs containing variables, states, directed edges, root priors, and full multi-parent CPDs across five domains and defines a benchmark with semantic node and state alignment, conditional structural scoring,...
Amartya Bhattacharya, Nikhil Singh, Neeti Pokhriyal et al.· 0 citations
Inspired by dual-coding theory, this work proposes a memory architecture that uses parallel visual and verbal codes, which it calls DualMem, and views this as a step towards memory systems that preserve a richer record of agents'observations.
This paper shows that another part of the pipeline matters at least as much: the queries used to elicit information extraction, and introduces List of Questions (LoQ), which generates document-specific question sets, and FeedQ, a feedback-driven optimization method that iteratively refines questions against extraction...
Omar Sharif, S. Vosoughi, Nikhil Singh· 0 citations
The findings suggest world knowledge and task-directed ability can be learned in geometrically complementary forms, and that future post-training pipelines should consider how best to engineer the interface between them.
Rui-Ze Xu, Xiao Yu, Yu-Jin Tang et al.· 0 citations
This work proposes a method to sample from models'perceptual prior distributions directly, by steering a generative model to produce stimuli along controllable axes and running Gibbs sampling over that space with the model under study as the judge, and recovers both canonical biases and surprising novel priors invisibl...
Manuel Cherep, Pattie Maes, Nikhil Singh· 2 citations
This paper argues that AI agents must be evaluated like other behavioral systems: through systematic observation, perturbation, and interpretation of their actions, and proposes a research agenda focused on developing rigorous behavioral tests.
Manuel Cherep, Nikhil Singh, Pattie Maes· 0 citations
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