Streaming speech assistants are designed to reduce user waiting time by launching tools before a user finishes speaking, overlapping execution with incoming speech. But this speed introduces a risk: a user may self-correct mid-sentence, invalidating an argument that appeared stable at the time the tool was launched.
The new work, described in an arXiv abstract, introduces RASSG — Repair-Aware Semantic Survival Gating — as a way to handle this problem. The name suggests a gating mechanism that uses semantic information about repairs to decide whether an argument should survive or be discarded.
The abstract does not yet provide full experimental details or quantitative results, so the reported contribution is the concept and motivation rather than a validated system. Still, the problem it addresses is central to making streaming assistants both fast and reliable.