InA-Probe improves LLM time series forecasting via instruction-aware active probing, outperforming baselines with up to 37% error reduction on seven benchmarks in one-for-all and zero-shot settings.
Adapting LLMs to time series forecasting via temporal het- erogeneity modeling and semantic alignment
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A frequency-based latent compression method for video VAEs yields higher reconstruction quality than channel-reduction baselines at fixed compression ratios.
A study deriving mathematical formulations and bounds for diffusion editing objectives while empirically comparing methods on fidelity and control metrics and discussing ethical issues.
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