e-commerce search 1intent generation 1large language models 1retrieval augmentation 1tail query handling 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.IR2026
Improving Item Discoverability in e-Commerce Search via Related Intent Generation
Ji Xin, Xiao Xiao, Ishan Bhatt +6
The paper presents a two‑stage system that generates related user intents to expand recall in e‑commerce search, using a large language model for head queries and a fine‑tuned smal…
cs.CR2026
SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection
Zhengyang Shan, Xu Qian, Jiayun Xin +5
Software vulnerabilities are a primary threat to modern infrastructure. While static analysis and Graph Neural Networks have long served as the foundation for vulnerability detecti…
cs.LG2026
Textual Bayes: Quantifying Prompt Uncertainty in LLM-Based Systems
Brendan Leigh Ross, Noël Vouitsis, Atiyeh Ashari Ghomi +8
Although large language models (LLMs) are becoming increasingly capable of solving challenging real-world tasks, accurately quantifying their uncertainty remains a critical open pr…