{"slug": "generative-query-suggestion-via-intent-coverage-and-query-level-credit", "title": "Generative Query Suggestion via Intent Coverage and Query-Level Credit Assignment", "summary": "A new arXiv paper (arXiv:2609.19209v1) proposes an Intent-Driven Query Suggestion Framework that combines intent-aware diversity modeling with query-level credit assignment to generate follow-up query slates. The framework builds intent-aligned supervised fine-tuning data and uses an Intent-Aware Diversity Reward to optimize intent coverage, while routing individual quality signals to query tokens and sharing a slate-level diversity signal across the slate. Experiments on a large-scale production dataset, including online A/B testing and offline evaluation, showed improvements in click-through rate, query quality, and intent coverage.", "body_md": "arXiv:2609.19209v1 Announce Type: new \nAbstract: Generative query suggestion aims to enhance user engagement by anticipating user intents and recommending relevant follow-up queries. A central challenge is to generate slates whose individual queries are useful while the slate covers distinct intents. We propose an Intent-Driven Query Suggestion Framework with dual-stage optimization. First, intent-aware diversity modeling constructs intent-aligned supervised fine-tuning (SFT) data and uses an Intent-Aware Diversity Reward to optimize intent coverage. Second, query-level credit assignment routes individual quality signals to the corresponding query tokens while sharing a slate-level diversity signal across the slate. Experiments on a large-scale production dataset, including online A/B testing and offline evaluation, show improvements in click-through rate, query quality, and intent coverage.", "url": "https://wpnews.pro/news/generative-query-suggestion-via-intent-coverage-and-query-level-credit", "canonical_source": "https://arxiv.org/abs/2609.19209", "published_at": "2026-09-18 04:00:00+00:00", "updated_at": "2026-09-18 04:23:17.595896+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "natural-language-processing", "ai-research"], "entities": ["arXiv", "Intent-Driven Query Suggestion Framework", "Intent-Aware Diversity Reward"], "alternates": {"html": "https://wpnews.pro/news/generative-query-suggestion-via-intent-coverage-and-query-level-credit", "markdown": "https://wpnews.pro/news/generative-query-suggestion-via-intent-coverage-and-query-level-credit.md", "text": "https://wpnews.pro/news/generative-query-suggestion-via-intent-coverage-and-query-level-credit.txt", "jsonld": "https://wpnews.pro/news/generative-query-suggestion-via-intent-coverage-and-query-level-credit.jsonld"}}