Parminder Bhatia

According to our database, Parminder Bhatia authored at least 55 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs.

Shuyang Yu, Runxue Bao, Parminder Bhatia, Taha Kass-Hout, Jiayu Zhou, Cao Xiao

CoRR, 2024

Segment as You Wish - Free-Form Language-Based Segmentation for Medical Images.

Longchao Da, Rui Wang, Xiaojian Xu, Parminder Bhatia, Taha Kass-Hout, Hua Wei, Cao Xiao

CoRR, 2024

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval.

Pengcheng Jiang, Cao Xiao, Minhao Jiang, Parminder Bhatia, Taha Kass-Hout, Jimeng Sun, Jiawei Han

CoRR, 2024

KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge.

Pengcheng Jiang, Lang Cao, Cao Xiao, Parminder Bhatia, Jimeng Sun, Jiawei Han

CoRR, 2024

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, Furong Huang, Cao Xiao

CoRR, 2024

TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale.

Pengcheng Jiang, Cao Xiao, Zifeng Wang, Parminder Bhatia, Jimeng Sun, Jiawei Han

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

One-shot Localization and Segmentation of Medical Images with Foundation Models.

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

CoRR, 2023

SonoSAM - Segment Anything on Ultrasound Images.

Hariharan Ravishankar, Rohan Patil, Vikram Melapudi, Parminder Bhatia, Taha A. Kass-Hout, Pavan Annangi

CoRR, 2023

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

CoRR, 2023

Greener yet Powerful: Taming Large Code Generation Models with Quantization.

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

CoRR, 2023

Linear Spaces of Meanings: the Compositional Language of VLMs.

Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto

CoRR, 2023

Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study.

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

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion.

Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Linear Spaces of Meanings: Compositional Structures in Vision-Language Models.

Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

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

CoRR, 2022

ContraGen: Effective 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

CoRR, 2022

Debiasing Neural Retrieval via In-batch Balancing Regularization.

Yuantong Li, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold

CoRR, 2022

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking.

Denis Jered McInerney, Luyang Kong, Kristjan Arumae, Byron C. Wallace, Parminder Bhatia

CoRR, 2021

Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey.

Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew O. Arnold

CoRR, 2021

Improving Early Sepsis Prediction with Multi Modal Learning.

Fred Qin, Vivek Madan, Ujjwal Ratan, Zohar Karnin, Vishaal Kapoor, Parminder Bhatia, Taha A. Kass-Hout

CoRR, 2021

Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes.

Han-Chin Shing, Chaitanya Shivade, Nima Pourdamghani, Feng Nan, Philip Resnik, Douglas W. Oard, Parminder Bhatia

CoRR, 2021

Neural Entity Recognition with Gazetteer based Fusion.

Qing Sun, Parminder Bhatia

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics.

Luyang Kong, Christopher Winestock, Parminder Bhatia

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

End-to-End Joint Entity Extraction and Negation Detection for Clinical Text.

Parminder Bhatia, E. Busra Celikkaya, Mohammed Khalilia

Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Dynamic Transfer Learning for Named Entity Recognition.

Parminder Bhatia, Kristjan Arumae, E. Busra Celikkaya

Proceedings of the Precision Health and Medicine - A Digital Revolution in Healthcare, 2020

Improve black-box sequential anomaly detector relevancy with limited user feedback.

Luyang Kong, Lifan Chen, Ming Chen, Parminder Bhatia, Laurent Callot

CoRR, 2020

COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature.

Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis

CoRR, 2020

AWS CORD19-Search: A Scientific Literature Search Engine for COVID-19.

Parminder Bhatia, Kristjan Arumae, Nima Pourdamghani, Suyog Deshpande, Ben Snively, Mona Mona, Colby Wise, George Price, Shyam Ramaswamy, Taha A. Kass-Hout

CoRR, 2020

Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network.

Shaoqing Yuan, Parminder Bhatia, Busra Celikkaya, Haiyang Liu, Kyunghwan Choi

CoRR, 2020

CALM: Continuous Adaptive Learning for Language Modeling.

Kristjan Arumae, Parminder Bhatia

CoRR, 2020

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training.

Kristjan Arumae, Qing Sun, Parminder Bhatia

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

LATTE: Latent Type Modeling for Biomedical Entity Linking.

Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Towards Annotating and Creating Sub-Sentence Summary Highlights.

Kristjan Arumae, Parminder Bhatia, Fei Liu

CoRR, 2019

Relation Extraction using Explicit Context Conditioning.

Gaurav Singh, Parminder Bhatia

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Comprehend Medical: A Named Entity Recognition and Relationship Extraction Web Service.

Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Towards Fast and Unified Transfer Learning Architectures for Sequence Labeling.

Parminder Bhatia, Kristjan Arumae, Busra Celikkaya

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Joint Entity Extraction and Assertion Detection for Clinical Text.

Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Dynamic Transfer Learning for Named Entity Recognition.

Parminder Bhatia, Kristjan Arumae, Busra Celikkaya

CoRR, 2018

End-to-end Joint Entity Extraction and Negation Detection for Clinical Text.

Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia

CoRR, 2018

Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning.

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

CoRR, 2018

2017

soc2seq: Social Embedding meets Conversation Model.

Parminder Bhatia, Marsal Gavaldà, Arash Einolghozati

CoRR, 2017

2016

Morphological Priors for Probabilistic Neural Word Embeddings.

Parminder Bhatia, Robert Guthrie, Jacob Eisenstein

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Better Document-level Sentiment Analysis from RST Discourse Parsing.

Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015