NPUsper eliminates redundant Whisper computation on mobile NPUs via online hallucination detection and chunked decoding to cut latency, TTFT, and power.
FiRe improves image generation via fine-grained multimodal reasoning that decomposes prompts, self-checks visual requirements, and applies localized refinement, with FiRe-GRPO providing step-level reinforcement learning rewards.
Echo-GRPO rewrites off-policy reasoning traces into a student VideoLLM's idiolect to avoid gradient clipping, improving reasoning distillation across backbones and benchmarks.
TimeTok introduces hierarchical tokenization for multiscale time-series generation with explicit granularity control from coarse inputs, achieving state-of-the-art results and cross-dataset transfer.
COVRAG uses depth-based coverage maps and residual-gain frame selection to improve long-horizon geometric consistency in autoregressive video generation with low latency.
Exact posterior score estimation derives closed-form posterior scores for linear Gaussian inverse problems, enabling efficient training and sampling that outperforms baselines with far fewer evaluations.