adaptive-compute

RecurTrace introduces loop-time memory and adaptive halting to improve latent reasoning in language models, achieving higher accuracy on MathQA with optimized compute compared to fixed-loop methods.

CAPS introduces a cascaded adaptive selection framework for efficient parallel reasoning, reducing verifier compute costs by over 75% while outperforming existing pairwise verification methods across multiple LLM benchmarks.

GridProbe is a training-free inference paradigm for Long-Video VLMs that adaptively selects relevant frames using posterior probing, achieving sub-quadratic attention costs with minimal accuracy loss.