Tag
The paper proposes GenScript, an inference-only synthetic data pipeline that replaces per-dataset model training by passing a deterministic statistical profile of the source data to an LLM, which infers field semantics and integrity constraints that a coding agent then compiles into an auditable sampler. The approach unifies tabular, temporal, and relational data synthesis, building generators in minutes while closely matching leading methods in fidelity and preserving key integrity constraints.
Voice Memory introduces an inference-only scheme for agentic speech recognition where a frozen corrector uses a per-domain memory file to decide per utterance whether to act or abstain, reducing word error rate across multiple domains without weight updates.