PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis (2023 · 87 citations)
Training state-of-the-art text-to-image (T2I) diffusion models takes thousands of GPU days and hundreds of thousands of dollars.
AEQ-Bench: Measuring Empathy of Omni-Modal Large Models (2026)
Omni-modal large models (OLMs) increasingly talk to users through speech, yet evaluations of empathy usually turn audio into transcripts and ignore how something is said.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection ↗arXiv:1911.09929 · no summary yetLewei Yao et al.2019 · 95 citations
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image SynthesisarXiv:2310.00426Junsong Chen, Jincheng Yu, Chongjian Ge, et al.2023 · 87 citations
DetGPT: Detect What You Need via Reasoning ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetRenjie Pi et al.2023 · 83 citations
AEQ-Bench: Measuring Empathy of Omni-Modal Large ModelsFindings of the Association for Computational LinguisticsXuan Luo, Lewei Yao, Lanqing Hong, et al.2026

Co-authors here

11 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 106 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

Updated 2 November 2026