activity
20232026
most citedCLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Cross-Domain Hybrid OPD for Generalizable Search Agents

Hongzhan Chen, Xiaoyu Liu, Dengming Zhang +11

Recent advances in Reinforcement Learning (RL) have substantially improved the capabilities of autonomous search agents, enabling sophisticated planning, and iterative retrieval ov…

cs.CL2026

UXBench: Benchmarking User Experience in AI Assistants

Mengze Hong, Xia Zeng, Zeyang Lei +27

As AI assistants serve millions of users daily, evaluating user experience (UX) beyond general model capability has become increasingly important. We present \textbf{UXBench}, the…

cs.SD2024

Semi-Supervised Self-Learning Enhanced Music Emotion Recognition

Yifu Sun, Xulong Zhang, Monan Zhou +1

Music emotion recognition (MER) aims to identify the emotions conveyed in a given musical piece. However, currently, in the field of MER, the available public datasets have limited…

cs.SD2024★ 2 cited

CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models

Shangda Wu, Yashan Wang, Ruibin Yuan +12

Challenges in managing linguistic diversity and integrating various musical modalities are faced by current music information retrieval systems. These limitations reduce their effe…

cs.SD2023★ 1 cited

A Holistic Evaluation of Piano Sound Quality

Monan Zhou, Shangda Wu, Shaohua Ji +2

This paper aims to develop a holistic evaluation method for piano sound quality to assist in purchasing decisions. Unlike previous studies that focused on the effect of piano perfo…

cs.IR2023

EMelodyGen: Emotion-Conditioned Melody Generation in ABC Notation with the Musical Feature Template

Monan Zhou, Xiaobing Li, Feng Yu +1

The EMelodyGen system focuses on emotional melody generation in ABC notation controlled by the musical feature template. Owing to the scarcity of well-structured and emotionally la…