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20242026
most citedTheoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks

1 citations · 2 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.LG2026

1% of Tokens Can Be Enough: On Gradient Estimation in On-Policy Distillation

Huanxin Sheng, Zhiling Ye, Haonan Wang +3

Sparse on-policy distillation (OPD) allocates teacher supervision to a small subset of tokens in student-generated trajectories. However, useful teacher guidance can yield a noisy…

cs.AI2026

OmniJudge or OmniBias? Diagnosing Multimodal Judges through Balanced, Decoupled Lenses

Guangzheng Hu, Ziyue Jiang, Weixu Qiao +14

Multimodal understanding models that can jointly judge text-to-image (T2I), text-to-video (T2V) and text-to-speech (TTS) generation are increasingly used as "OmniJudges" for evalua…

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…