Parminder Bhatia

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 62

Top Topics

Segmentation Of Medical Images

Named Entity Recognition

Top Venues

Publications

Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. NAACL-HLT (2024)
Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Robert Kwiatkowski, Ramesh Nallapati, Parminder Bhatia, Bing Xiang
Token Alignment via Character Matching for Subword Completion. ACL (Findings) (2024)
Xiyao Wang, Jiuhai Chen, Zhaoyang Wang, Yuhang Zhou, Yiyang Zhou, Huaxiu Yao, Tianyi Zhou, Tom Goldstein, Parminder Bhatia, Furong Huang, Cao Xiao
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. CoRR (2024)
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. LREC/COLING (2024)
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
Bifurcated Attention for Single-Context Large-Batch Sampling. CoRR (2024)
Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han
TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. CoRR (2024)
Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. CoRR (2024)
Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. ACL (1) (2024)
Hantian Ding, Varun Kumar, Yuchen Tian, Zijian Wang, Rob Kwiatkowski, Xiaopeng Li, Murali Krishna Ramanathan, Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta
A Static Evaluation of Code Completion by Large Language Models. ACL (industry) (2023)
Deepa Anand, Gurunath Reddy M, Vanika Singhal, Dattesh D. Shanbhag, K. S. Shriram, Uday Patil, Chitresh Bhushan, Kavitha Manickam, Dawei Gui, Rakesh Mullick, Avinash Gopal, Parminder Bhatia, Taha A. Kass-Hout
One-shot Localization and Segmentation of Medical Images with Foundation Models. CoRR (2023)
Xiaokai Wei, Sujan K. Gonugondla, Wasi Uddin Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
Greener yet Powerful: Taming Large Code Generation Models with Quantization. CoRR (2023)
Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma
Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation. ACL (1) (2023)
Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Xiaofei Ma, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang
Exploring Continual Learning for Code Generation Models. CoRR (2023)
Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto
Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR (2023)
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
A Static Evaluation of Code Completion by Large Language Models. CoRR (2023)
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
ContraCLM: Contrastive Learning For Causal Language Model. ACL (1) (2023)
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. CoRR (2023)
Hariharan Ravishankar, Rohan Patil, Vikram Melapudi, Parminder Bhatia, Taha A. Kass-Hout, Pavan Annangi
SonoSAM - Segment Anything on Ultrasound Images. CoRR (2023)
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
Exploring Continual Learning for Code Generation Models. ACL (2) (2023)
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
ReCode: Robustness Evaluation of Code Generation Models. ACL (1) (2023)
Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. ICCV (2023)
Xiaokai Wei, Sujan Kumar Gonugondla, Shiqi Wang, Wasi Uddin Ahmad, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang
Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. ESEC/SIGSOFT FSE (2023)
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. NeurIPS (2023)
Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold
Debiasing Neural Retrieval via In-batch Balancing Regularization. CoRR (2022)
Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context. CoRR (2022)
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
ContraGen: Effective Contrastive Learning For Causal Language Model. CoRR (2022)
Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. ACL (2) (2022)
Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. CoRR (2022)
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
Multi-lingual Evaluation of Code Generation Models. CoRR (2022)
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
ReCode: Robustness Evaluation of Code Generation Models. CoRR (2022)
Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas W. Oard, Parminder Bhatia
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes. CoRR (2021)
Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew O. Arnold
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey. CoRR (2021)
Fred Qin, Vivek Madan, Ujjwal Ratan, Zohar Karnin, Vishaal Kapoor, Parminder Bhatia, Taha A. Kass-Hout
Improving Early Sepsis Prediction with Multi Modal Learning. CoRR (2021)
Luyang Kong, Christopher Winestock, Parminder Bhatia
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics. ACL/IJCNLP (Findings) (2021)
Qing Sun, Parminder Bhatia
Neural Entity Recognition with Gazetteer based Fusion. ACL/IJCNLP (Findings) (2021)
Luyang Kong, Christopher Winestock, Parminder Bhatia
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics. CoRR (2021)
Denis Jered McInerney, Luyang Kong, Kristjan Arumae, Byron C. Wallace, Parminder Bhatia
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking. CoRR (2021)
Qing Sun, Parminder Bhatia
Neural Entity Recognition with Gazetteer based Fusion. CoRR (2021)
Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature. CoRR (2020)
Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. CoRR (2020)
Kristjan Arumae, Qing Sun, Parminder Bhatia
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training. EMNLP (1) (2020)
Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy
LATTE: Latent Type Modeling for Biomedical Entity Linking. AAAI (2020)
Kristjan Arumae, Qing Sun, Parminder Bhatia
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training. CoRR (2020)
Luyang Kong, Lifan Chen, Ming Chen, Parminder Bhatia, Laurent Callot
Improve black-box sequential anomaly detector relevancy with limited user feedback. CoRR (2020)
Parminder Bhatia, Kristjan Arumae, Nima Pourdamghani, Suyog Deshpande, Ben Snively, Mona Mona, Colby Wise, George Price, Shyam Ramaswamy, Taha A. Kass-Hout
AWS CORD19-Search: A Scientific Literature Search Engine for COVID-19. CoRR (2020)
Kristjan Arumae, Parminder Bhatia
CALM: Continuous Adaptive Learning for Language Modeling. CoRR (2020)
Miguel Ballesteros, Rishita Anubhai, Shuai Wang, Nima Pourdamghani, Yogarshi Vyas, Jie Ma, Parminder Bhatia, Kathleen R. McKeown, Yaser Al-Onaizan
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events. EMNLP (1) (2020)
Shaoqing Yuan, Parminder Bhatia, Busra Celikkaya, Haiyang Liu, Kyunghwan Choi
Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network. CoRR (2020)
Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service. CoRR (2019)
Gaurav Singh, Parminder Bhatia
Relation Extraction using Explicit Context Conditioning. CoRR (2019)
Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy
LATTE: Latent Type Modeling for Biomedical Entity Linking. CoRR (2019)
Parminder Bhatia, Kristjan Arumae, Busra Celikkaya
Towards Fast and Unified Transfer Learning Architectures for Sequence Labeling. ICMLA (2019)
Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel
Comprehend Medical: A Named Entity Recognition and Relationship Extraction Web Service. ICMLA (2019)
Gaurav Singh, Parminder Bhatia
Relation Extraction using Explicit Context Conditioning. NAACL-HLT (1) (2019)
Kristjan Arumae, Parminder Bhatia, Fei Liu
Towards Annotating and Creating Sub-Sentence Summary Highlights. CoRR (2019)
Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia
Joint Entity Extraction and Assertion Detection for Clinical Text. ACL (1) (2019)
Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia
End-to-end Joint Entity Extraction and Negation Detection for Clinical Text. CoRR (2018)
Parminder Bhatia, Kristjan Arumae, Busra Celikkaya
Dynamic Transfer Learning for Named Entity Recognition. CoRR (2018)
Mengqi Jin, Mohammad Taha Bahadori, Aaron Colak, Parminder Bhatia, Busra Celikkaya, Ram Bhakta, Selvan Senthivel, Mohammed Khalilia, Daniel Navarro, Borui Zhang, Tiberiu Doman, Arun Ravi, Matthieu Liger, Taha A. Kass-Hout
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning. CoRR (2018)
Parminder Bhatia, Marsal Gavaldà, Arash Einolghozati
soc2seq: Social Embedding meets Conversation Model. CoRR (2017)
Parminder Bhatia, Robert Guthrie, Jacob Eisenstein
Morphological Priors for Probabilistic Neural Word Embeddings. EMNLP (2016)
Parminder Bhatia, Robert Guthrie, Jacob Eisenstein
Morphological Priors for Probabilistic Neural Word Embeddings. CoRR (2016)
Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein
Better Document-level Sentiment Analysis from RST Discourse Parsing. CoRR (2015)
Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein
Better Document-level Sentiment Analysis from RST Discourse Parsing. EMNLP (2015)