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cs.CL2026
Dynamic Context Evolution for Scalable Synthetic Data Generation
Ryan Lingo, Rajeev Chhajer
Large language models produce repetitive output when prompted independently across many batches, a phenomenon we term cross-batch mode collapse: the progressive loss of output dive…
cs.LG2026
Long-Horizon Traffic Forecasting via Incident-Aware Conformal Spatio-Temporal Transformers
Mayur Patil, Qadeer Ahmed, Shawn Midlam-Mohler +4
Reliable multi-horizon traffic forecasting is challenging because network conditions are stochastic, incident disruptions are intermittent, and effective spatial dependencies vary…