Bhatia, Parminder

13 publications

NeurIPS 2025 Any Large Language Model Can Be a Reliable Judge: Debiasing with a Reasoning-Based Bias Detector Haoyan Yang, Runxue Bao, Cao Xiao, Jun Ma, Parminder Bhatia, Shangqian Gao, Taha Kass-Hout

AAAI 2025 Bi-Level Contrastive Learning for Knowledge-Enhanced Molecule Representations Pengcheng Jiang, Cao Xiao, Tianfan Fu, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han

NeurIPS 2025 Deep Continuous-Time State-Space Models for Marked Event Sequences Yuxin Chang, Alex James Boyd, Cao Xiao, Taha Kass-Hout, Parminder Bhatia, Padhraic Smyth, Andrew Warrington

CVPR 2025 Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-Supervised Medical Image Segmentation Aishik Konwer, Zhijian Yang, Erhan Bas, Cao Xiao, Prateek Prasanna, Parminder Bhatia, Taha Kass-Hout

ICLR 2025 Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha Kass-Hout, Jimeng Sun, Jiawei Han

ICML 2024 Bifurcated Attention for Single-Context Large-Batch Sampling Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang

NeurIPS 2024 KG-FIT: Knowledge Graph Fine-Tuning upon Open-World Knowledge Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han

NeurIPS 2023 CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion Yangruibo Ding, Zijian Wang, Wasi Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang

ICCV 2023 Linear Spaces of Meanings: Compositional Structures in Vision-Language Models Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto

ICLR 2023 Multi-Lingual Evaluation of Code Generation Models Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, Xiaopeng Li, Yuchen Tian, Ming Tan, Wasi Uddin Ahmad, Shiqi Wang, Qing Sun, Mingyue Shang, Sujan Kumar Gonugondla, Hantian Ding, Varun Kumar, Nathan Fulton, Arash Farahani, Siddhartha Jain, Robert Giaquinto, Haifeng Qian, Murali Krishna Ramanathan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang

ICMLW 2023 On IO-Efficient Attention Mechanisms: Context-Aware Bifurcated Attention and the Generalized Multi-Group Attention Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Liangfu Chen, Jiacheng Guo, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang

NeurIPSW 2023 One Shot Localization and Segmentation of Medical Images with Foundation Models Deepa Anand, Gurunath Reddy, Vanika Singhal, Dattesh D. Shanbhag, Shriram Ks, Uday Patil, Chitresh Bhushan, Kavitha Manickam, Dawei Gui, Rakesh Mullick, Avinash Gopal, Parminder Bhatia, Taha Kass-Hout

AAAI 2020 LATTE: Latent Type Modeling for Biomedical Entity Linking Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy