Speculative decoding accelerates autoregressive LLMs by having a lightweight drafter propose tokens that the target model verifies in parallel. Diffusion-based drafters further reduce drafting latency by proposing multiple tokens at once. However, these tokens are predicted independently, so a single early error causes...
Long-Xuan Yu, Bingsen Chen, Peng Shi et al.· 0 citations
A 3D scene reconstructed from a single image is most useful when represented not as a rendering or a fixed 3D output, but as an explicit scene program whose execution yields a scene that can be inspected, edited, and queried. We present LEGO-Anything, an Image-to-Code framework in which a coding agent iteratively write...
Xi-Rui Li, Peng Shi, Ming-Wen Dong et al.· 0 citations
It is argued that BBQ-style multiple-choice abstention benchmarks measure a single structural cue, and a model that solves them does not thereby become fair, and is called for evaluation suites that cover a broader spectrum of fairness alignment.
Naihao Deng, Samee Arif, Shuai-Chen Chang et al.· 0 citations
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