activity
20232026
most citedIntention Knowledge Graph Construction for User Intention Relation Modeling

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

PACEShop: Evaluating Personalized, Actionable, Compositional, and Evidence-grounded Shopping Assistants

Weimin Lyu, Chen Luo, Guangrui Li +9

Shopping assistants are shifting from ranked product lists toward structured decision support, where systems must synthesize shopper context, product evidence, and next-step guidan…

cs.CL2025

SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding

Yuqi Yang, Weiqi Wang, Baixuan Xu +13

Session history is a common way of recording user interacting behaviors throughout a browsing activity with multiple products. For example, if an user clicks a product webpage and…

cs.CL2025

EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association

Weiqi Wang, Limeng Cui, Xin Liu +14

Goal-oriented script planning, or the ability to devise coherent sequences of actions toward specific goals, is commonly employed by humans to plan for typical activities. In e-com…

cs.CL2024★ 1 cited

Intention Knowledge Graph Construction for User Intention Relation Modeling

Jiaxin Bai, Zhaobo Wang, Junfei Cheng +8

Understanding user intentions is challenging for online platforms. Recent work on intention knowledge graphs addresses this but often lacks focus on connecting intentions, which is…

cs.CL2024

IterAlign: Iterative Constitutional Alignment of Large Language Models

Xiusi Chen, Hongzhi Wen, Sreyashi Nag +5

With the rapid development of large language models (LLMs), aligning LLMs with human values and societal norms to ensure their reliability and safety has become crucial. Reinforcem…

cs.AI2023★ 1 cited

Understanding Inter-Session Intentions via Complex Logical Reasoning

Jiaxin Bai, Chen Luo, Zheng Li +2

Understanding user intentions is essential for improving product recommendations, navigation suggestions, and query reformulations. However, user intentions can be intricate, invol…