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When to Assist and What to Suggest: Joint Gating and Memory-Grounded Hint Generation in One Compact Decoder

Paper recorded by Signals 4 on 2026-10-29 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-29 on arXiv · recorded by Signals 4 on 2026-10-30

Category: cs.AI · 人工智能 · first seen 2026-10-30

Abstract

Proactive assistants offer short, memory-grounded hints during a conversation, deciding when to assist and what to suggest. Current systems split this between a gate and a larger generator; we evaluate both together on 28,058 decision points. Stage-wise generation scores are oracle-gate ceilings: behind a real gate, end-to-end exact match is 0.2619 against a ceiling of 0.2971, and end-to-end preci

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#67 most recent of 920 cs.AI papers we have recorded · ↑ newer: TextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Mem · ↓ older: Collaborative AI agents for autonomous experimental research with soli
Cite this page: When to Assist and What to Suggest: Joint Gating and Memory-Grounded Hint Generation in One Compact Decoder: the #67 most recent of 920 cs.AI papers we have recorded (as of 2026-10-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-to-assist-and-what-to-suggest-joint-gating-and-memory-grounded-hint-generat.html
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