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M. El-Assady

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#artificial intelligence Preprint Sep 2026

STRIDE: Automated Evaluation of Text-to-Trajectory Alignment across Diverse Contexts

This work introduces STRIDE, the first framework for evaluating context alignment between scenario descriptions and pedestrian trajectories, and believes that the STRIDE framework provides a first step toward principled evaluation of context-aligned pedestrian trajectory generation.

Wan-Chun Ni, Tao Qi, Leonel Aguilar et al. · 0 citations

Point, Revise, Review: Grounded Agentic Analysis in Reactive Notebooks with marimo-lens

This work presents marimo-lens, an extension to the reactive Python notebook marimo for grounded human-agent analysis that connects a human's marked output and note to its producing cell and relevant contributing computation, giving the agent computational context for the request.

Péter Ferenc Gyarmati, Trevor Manz, Dominik Moritz et al. · 0 citations
#human-computer interacti... Preprint Sep 2026

MIVAIS: A Study Environment for Multi-Agent Mixed-Initiative Visual Analytics Applications

MIVAIS is presented, a dual-layered research platform designed to abstract the structural complexities of mixed-initiative VA and evaluates the framework's expressiveness and efficiency through expert case studies with HCI and VA researchers, demonstrating how MIVAIS effectively lowers the barrier to prototyping and ev...

Tobias Stähle, Simone Schneider, R. Sevastjanova et al. · 0 citations
Preprint Jul 2026

Building Fast, Evaluating Slow: Pipeline Choices Dominate Autointerpretability Score Variance

It is found that methodological variance collectively exceeds architectural variance across all metrics and tested models, suggesting that cross-paper comparisons based on autointerpretability scores may reflect pipeline differences rather than architectural differences, with implications for the ongoing debate on SAE...

Sinie van der Ben, Neele Roch, Anna Hedström et al. · 0 citations

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