… PlantMarkerBench provides a challenging and reproducible evaluation framework for literature-grounded biological evidence attribution and supports future research on trustworthy scientific information extraction and AI-assisted plant biology. …
Papers arxiv:2605.15188 FutureSim: Replaying World Events to Evaluate Adaptive Agents Published on May 14 Submitted by Shashwat Goel on May 15 Max Planck Institute for Intelligent Systems Authors: , , , , , , , Jonas Geiping Abstract FutureSim enables evaluation of AI agents' long-term predictive c… …
… View arXiv page View PDF Project page GitHub 564 Add to collection Community World Action Models: The Next Frontier in Embodied AI this framing of cascaded vs joint world action models lines up nicely with what dreaming-style latent world models have been doing, but it finally puts a clear taxonomy… …
… Rather than eliminating test-time world evolution altogether or rolling out the full future in pixel space, DAWN performs a short explicit latent rollout that is sufficient to support long-horizon trajectory generation in complex interactive scenes. …
… In parallel, RubricEM trains a shared-backbone reflection meta-policy that distills judged trajectories into reusable rubric-grounded guidance for future attempts. …
… Evaluating 14 representative world models , we identify key limitations and provide insights for future research. …
… These results suggest that creative tool use remains a major challenge for current models, and that CreativityBench provides a useful testbed for studying this missing dimension of intelligence, with potential implications for planning and reasoning modules in future agents. …
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… On WideSearch we hit 38.50 Avg@4 Success Rate , 7.5× the previous SOTA and also generalise to XBench-DeepSearch at 73.0 accuracy. the thing that hooked me most here is the run verify reflect loop and the memory-driven bi-level setup, where a top-level orchestrator learns decomposition while a pool … …