Parminder Bhatia
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
11
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | 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 |
| 2025 | ACL | Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning. | Aofei Chang, Le Huang, Alex James Boyd, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Fenglong Ma |
| 2025 | CVPR | 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 A. Kass-Hout |
| 2025 | ICLR | Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. | Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha A. Kass-Hout, Jimeng Sun, Jiawei Han |
| 2025 | KDD | FlanS: A Foundation Model for Free-Form Language-based Segmentation in Medical Images. | Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha A. Kass-Hout, Hua Wei, Cao Xiao |
| 2025 | NAACL | Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. | Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Taha A. Kass-Hout, Furong Huang, Cao Xiao |
| 2025 | NAACL | Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs. | Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha A. Kass-Hout, Jiayu Zhou, Cao Xiao |
| 2024 | ACL | Token Alignment via Character Matching for Subword Completion. | Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Robert Kwiatkowski, Ramesh Nallapati, Parminder Bhatia, Bing Xiang |
| 2024 | ACL | Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. | Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma |
| 2024 | COLING | CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. | Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang |
| 2024 | EMNLP | BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. | Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma |
| 2024 | ICML | 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 |
| 2024 | NAACL | TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. | Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han |
| 2023 | ACL | ReCode: Robustness Evaluation of Code Generation Models. | Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth, Bing Xiang |
| 2023 | ACL | A Static Evaluation of Code Completion by Large Language Models. | Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, Bing Xiang |
| 2023 | ACL | Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation. | Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma |
| 2023 | ACL | ContraCLM: Contrastive Learning For Causal Language Model. | Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma, Bing Xiang |
| 2023 | ACL | Exploring Continual Learning for Code Generation Models. | Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang |
| 2023 | ICCV | Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. | Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto |
| 2022 | ACL | DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. | Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth |
| 2021 | ACL | Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics. | Luyang Kong, Christopher Winestock, Parminder Bhatia |
| 2021 | ACL | Neural Entity Recognition with Gazetteer based Fusion. | Qing Sun, Parminder Bhatia |
| 2020 | AAAI | LATTE: Latent Type Modeling for Biomedical Entity Linking. | Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy |
| 2020 | EMNLP | An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training. | Kristjan Arumae, Qing Sun, Parminder Bhatia |
| 2020 | EMNLP | Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. | Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan |
| 2019 | ACL | Joint Entity Extraction and Assertion Detection for Clinical Text. | Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia |
| 2019 | ICMLA | Towards Fast and Unified Transfer Learning Architectures for Sequence Labeling. | Parminder Bhatia, Kristjan Arumae, Busra Celikkaya |
| 2019 | ICMLA | Comprehend Medical: A Named Entity Recognition and Relationship Extraction Web Service. | Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel |
| 2019 | NAACL | Relation Extraction using Explicit Context Conditioning. | Gaurav Singh, Parminder Bhatia |
| 2016 | EMNLP | Morphological Priors for Probabilistic Neural Word Embeddings. | Parminder Bhatia, Robert Guthrie, Jacob Eisenstein |
| 2015 | EMNLP | Better Document-level Sentiment Analysis from RST Discourse Parsing. | Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein |