3 papers
cs.IR2026
ToolRec: Calibrated Preference Alignment for Query Recommendation in On-Device Assistants
Zihan Luo, Lingkui Chen, Ruike Zhang +5
Large Language Models (LLMs) have significantly advanced generative query recommendation. However, while alignment is crucial for tailoring LLMs to human preferences, existing alig…
cs.CL2026
A Systematic Comparison of Prompting and Multi-Agent Methods for LLM-based Stance Detection
Genan Dai, Zini Chen, Yi Yang +1
Stance detection identifies the attitude of a text author toward a given target. Recent studies have explored various LLM-based strategies for this task, from zero-shot prompting t…
cs.SI2025
TwiUSD: A Benchmark Dataset and Structure-Aware LLM Framework for User Stance Detection
Fuqiang Niu, Zini Chen, Zhiyu Xie +3
User-level stance detection (UserSD) remains challenging due to the lack of high-quality benchmarks that jointly capture linguistic and social structure. In this paper, we introduc…