collaborators

9 papers

cs.CV2026

Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation

Niantong Li, Guangzheng Hu, Weixu Qiao +35

Text-to-Image generation has evolved from basic image synthesis into a frequently used core capability in professional creative workflows, where simple text-image alignment can no…

cs.CV2026

Video-Based Reward Modeling for Computer-Use Agents

Linxin Song, Jieyu Zhang, Huanxin Sheng +6

Computer-using agents (CUAs) are becoming increasingly capable; however, it remains difficult to scale evaluation of whether a trajectory truly fulfills a user instruction. In this…

cs.MM2026

MusicSem: A Semantically Rich Language--Audio Dataset of Natural Music Descriptions

Rebecca Salganik, Teng Tu, Fei-Yueh Chen +8

Music representation learning is central to music information retrieval and generation. While recent advances in multimodal learning have improved alignment between text and audio…

stat.ML2026

"Rebuilding" Statistics in the Age of AI: A Town Hall Discussion on Culture, Infrastructure, and Training

David L. Donoho, Jian Kang, Xihong Lin +7

This article presents the full, original record of the 2024 Joint Statistical Meetings (JSM) town hall, "Statistics in the Age of AI," which convened leading statisticians to discu…

cs.LG2025

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data

Zhining Liu, Zihao Li, Ze Yang +6

Class-imbalanced learning (CIL) on tabular data is important in many real-world applications where the minority class holds the critical but rare outcomes. In this paper, we presen…

cs.CL2025

Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction

Huanxin Sheng, Xinyi Liu, Hangfeng He +2

LLM-as-a-judge has become a promising paradigm for using large language models (LLMs) to evaluate natural language generation (NLG), but the uncertainty of its evaluation remains u…