#online inference
topiconline inference
3 papers · 1 filter
cs.IR2026
From Understanding to Action: Feedback-Grounded Policy Discovery for Generative Recommendation
Zhi Chen, Minmao Wang, Xingchen Liu +8
The paper introduces a feedback‑driven framework that first extracts user intent and then discovers recommendation policies using outcome‑derived feedback, distilling this knowledg…
eess.SP2026
Dynamic Online Processor-Native Inference for State Estimation
Orestis Kaparounakis
The paper introduces a processor‑native Bayesian filtering method that tracks uncertainty deterministically, offering fixed latency and bounded memory while achieving large speedup…
cs.IR2026
Prompt Generation Technical Report
Dan Ou, Gui Ling, Hao Wan +25
The paper introduces Prompt Generation (PG), a configuration‑driven framework that separates feature processing from model architecture for generative retrieval systems, enabling f…