activity
20242026
most citedUnderstanding User Experience in Large Language Model Interactions

19 citations · 23 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR2026

SQuTR: A Robustness Benchmark for Spoken Query to Text Retrieval under Acoustic Noise

Yuejie Li, Ke Yang, Yueying Hua +4

Spoken query retrieval is an important interaction mode in modern information retrieval. However, existing evaluation datasets are often limited to simple queries under constrained…

cs.CY2025

Judging by the Rules: Compliance-Aligned Framework for Modern Slavery Statement Monitoring

Wenhao Xu, Akshatha Arodi, Jian-Yun Nie +1

Modern slavery affects millions of people worldwide, and regulatory frameworks such as Modern Slavery Acts now require companies to publish detailed disclosures. However, these sta…

cs.CL2024

A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models

Jiayin Wang, Fengran Mo, Weizhi Ma +3

Large language models (LLMs) are essential tools that users employ across various scenarios, so evaluating their performance and guiding users in selecting the suitable service is…

cs.CL20244 cited

Metacognitive Retrieval-Augmented Large Language Models

Yujia Zhou, Zheng Liu, Jiajie Jin +2

Retrieval-augmented generation have become central in natural language processing due to their efficacy in generating factual content. While traditional methods employ single-time…

cs.HC202419 cited

Understanding User Experience in Large Language Model Interactions

Jiayin Wang, Weizhi Ma, Peijie Sun +2

In the rapidly evolving landscape of large language models (LLMs), most research has primarily viewed them as independent individuals, focusing on assessing their capabilities thro…