3 citations · 5 across the 7 of their papers we have counts for
7 papers
A Dominant Self-Conditioning Direction Drives Repetition in Unconditional Continuous Diffusion Language Models
Shuai Zhang, Zijie Chen, Hongliang He +3
Continuous diffusion language models offer an alternative to autoregressive generation, but their generations may suffer from repetition. We find that unconditional generations fro…
Improving Data and Reward Design for Scientific Reasoning in Large Language Models
Zijie Chen, Zhenghao Lin, Xiao Liu +3
Solving open-ended science questions remains challenging for large language models, particularly due to inherently unreliable supervision and evaluation. The bottleneck lies in the…
A2Eval: Agentic and Automated Evaluation for Embodied Brain
Shuai Zhang, Jiayu Hu, Zijie Chen +9
Current embodied VLM evaluation relies on static, expert-defined, manually annotated benchmarks that exhibit severe redundancy and coverage imbalance. This labor intensive paradigm…
Breaking the Data Barrier -- Building GUI Agents Through Task Generalization
Junlei Zhang, Zichen Ding, Chang Ma +4
Graphical User Interface (GUI) agents offer cross-platform solutions for automating complex digital tasks, with significant potential to transform productivity workflows. However,…
QUBE: Enhancing Automatic Heuristic Design via Quality-Uncertainty Balanced Evolution
Zijie Chen, Zhanchao Zhou, Yu Lu +3
Solving NP-hard problems traditionally relies on heuristics, yet manually designing effective heuristics for complex problems remains a significant challenge. While recent advancem…
Quality and Quantity: Unveiling a Million High-Quality Images for Text-to-Image Synthesis in Fashion Design
Jia Yu, Lichao Zhang, Zijie Chen +7
The fusion of AI and fashion design has emerged as a promising research area. However, the lack of extensive, interrelated data on clothing and try-on stages has hindered the full…
Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting
Zijie Chen, Lichao Zhang, Fangsheng Weng +2
Despite significant progress in the field, it is still challenging to create personalized visual representations that align closely with the desires and preferences of individual u…