Yu, Jialin

5 publications

ICLR 2026 BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models Thierry Blankenstein, Jialin Yu, Zixuan Li, Vassilis Plachouras, Sunando Sengupta, Philip Torr, Yarin Gal, Alasdair Paren, Adel Bibi

ICLR 2026 Tracedet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models Shenxu Chang, Junchi Yu, Weixing Wang, Yongqiang Chen, Jialin Yu, Philip Torr, Jindong Gu

ECCVW 2024 DebiasPI: Inference-Time Debiasing by Prompt Iteration of a Text-to-Image Generative Model Sarah Bonna, Yu-Cheng Huang, Ekaterina Novozhilova, Sejin Paik, Zhengyang Shan, Michelle Yilin Feng, Ge Gao, Yonish Tayal, Rushil Kulkarni, Jialin Yu, Nupur Divekar, Deepti Ghadiyaram, Derry Wijaya, Margrit Betke

NeurIPS 2024 Structured Learning of Compositional Sequential Interventions Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva

NeurIPS 2023 Intervention Generalization: A View from Factor Graph Models Gecia Bravo-Hermsdorff, David Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva