Caverlee, James

10 publications

ICLR 2026 Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning Shubham Parashar, Shurui Gui, Xiner Li, Hongyi Ling, Sushil Vemuri, Blake Olson, Eric Li, Yu Zhang, James Caverlee, Dileep Kalathil, Shuiwang Ji

ICLR 2026 How to Train Data-Efficient LLMs Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian McAuley, Derek Zhiyuan Cheng

AAAI 2025 Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule Generation Haoran Liu, Youzhi Luo, Tianxiao Li, James Caverlee, Martin Renqiang Min

CVPR 2024 The Neglected Tails in Vision-Language Models Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong

NeurIPSW 2023 Probing Explicit and Implicit Gender Bias Through LLM Conditional Text Generation Xiangjue Dong, Yibo Wang, Philip Yu, James Caverlee

NeurIPSW 2023 Topological and Temporal Data Augmentation for Temporal Graph Networks Haoran Liu, Jianling Wang, Kaize Ding, James Caverlee

AAAI 2022 Meta Propagation Networks for Graph Few-Shot Semi-Supervised Learning Kaize Ding, Jianling Wang, James Caverlee, Huan Liu

AAAI 2022 RES: An Interpretable Replicability Estimation System for Research Publications Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman Iii, Xia Hu, James Caverlee

AAAI 2018 Location-Sensitive User Profiling Using Crowdsourced Labels Wei Niu, James Caverlee, Haokai Lu

AAAI 2016 College Towns, Vacation Spots, and Tech Hubs: Using Geo-Social Media to Model and Compare Locations Hancheng Ge, James Caverlee