This work argues that this dichotomy of resynthesis as a choice between discrete token prediction and continuous regression is incomplete and introduces geometric iterative retrieval, a paradigm that uses the RVQ layer hierarchy itself as a natural iterative decomposition in continuous codebook space.
Leo Schmidt-Traub, Frédéric Berdoz, Luca A. Lanzendörfer et al.· 0 citations
AuthEval is introduced, a logging and evaluation framework that records both actions, scores the selected action under declared local criteria, and, where feasible, scores the declined proposal under the same rule, and clarifies whether a study's records support claims about the model, the workflow, or both.
Flint Xiaofeng Fan, Cheston Tan, Y. Ong et al.· 0 citations
FedPref lets institutions with unequal, unpooled data benefit from collaboration without ever sharing reports or annotations, and frozen public language models propose alternative JSON extractions, local annotations rank them, and sites collaboratively train compact Qwen3-8B adapters while sharing only model updates.
Flint Xiaofeng Fan, Cheston Tan, Y. Ong et al.· 0 citations
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