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Yuzhe Yang

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#artificial intelligence Preprint Oct 2026

TimeNet: An Extensible Unified Data Infrastructure for Next-Generation Temporal Foundation Models

Temporal Foundation Models (TFMs) aim to generalize across domains, datasets, and tasks. Yet, their development remains constrained by fragmented, task-specific data formats, annotations, and processing pipelines. We introduce TimeNet, an open-source data standard and scalable infrastructure that decouples temporal dat...

Martin Maritsch, Timo Stoffregen, Thomas Kaar et al. · 0 citations
#machine learning Preprint Sep 2026

Locating Hidden Failures Makes Long-Horizon Agents More Reliable

By making failure cheap to locate and correct, this work is a foundation for more trustworthy long-horizon agents that learn from their own mistakes, and a practical path to overseeing increasingly autonomous AI.

Salman Rahman, Y. Kim, Mihir Parmar et al. · 0 citations
Open access Jul 2026

Capable language models can outgrow the benefits of collaboration

A controlled study of large language model agents across 260 configurations shows when multi-agent collaboration helps or hurts performance, and introduces a predictive model that selects the best architecture in 87% of held-out within-domain configurations.

Y. Kim, Ken Gu, Chanwoo Park et al. · 6 citations

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