Better Document-level Sentiment Analysis from RST Discourse Parsing. - Parminder Bhatia; Yangfeng Ji; Jacob Eisenstein (EMNLP, 2015)

Morphological Priors for Probabilistic Neural Word Embeddings. - Parminder Bhatia; Robert Guthrie; Jacob Eisenstein (EMNLP, 2016)

soc2seq: Social Embedding meets Conversation Model. - Parminder Bhatia; Marsal Gavaldà; Arash Einolghozati (CoRR, 2017)

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; et al. (CoRR, 2018)

End-to-end Joint Entity Extraction and Negation Detection for Clinical Text. - Parminder Bhatia; Busra Celikkaya; Mohammed Khalilia (CoRR, 2018)

Dynamic Transfer Learning for Named Entity Recognition. - Parminder Bhatia; Kristjan Arumae; Busra Celikkaya (CoRR, 2018)

Joint Entity Extraction and Assertion Detection for Clinical Text. - Parminder Bhatia; Busra Celikkaya; Mohammed Khalilia (ACL (1), 2019)

Towards Fast and Unified Transfer Learning Architectures for Sequence Labeling. - Parminder Bhatia; Kristjan Arumae; Busra Celikkaya (ICMLA, 2019)

Comprehend Medical: A Named Entity Recognition and Relationship Extraction Web Service. - Parminder Bhatia; Busra Celikkaya; Mohammed Khalilia; Selvan Senthivel (ICMLA, 2019)

Relation Extraction using Explicit Context Conditioning. - Gaurav Singh 001; Parminder Bhatia (NAACL-HLT (1), 2019)

Towards Annotating and Creating Sub-Sentence Summary Highlights. - Kristjan Arumae; Parminder Bhatia; Fei Liu 004 (CoRR, 2019)

LATTE: Latent Type Modeling for Biomedical Entity Linking. - Ming Zhu 015; Busra Celikkaya; Parminder Bhatia; Chandan K. Reddy (AAAI, 2020)

An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training. - Kristjan Arumae; Qing Sun; Parminder Bhatia (EMNLP (1), 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 005; Parminder Bhatia; Kathleen R. McKeown; Yaser Al-Onaizan (EMNLP (1), 2020)

CALM: Continuous Adaptive Learning for Language Modeling. - Kristjan Arumae; Parminder Bhatia (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)

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)

COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature. - Colby Wise; Vassilis N. Ioannidis; Miguel Romero Calvo; Xiang Song 003; George Price; Ninad Kulkarni; Ryan Brand; Parminder Bhatia; George Karypis (CoRR, 2020)

Improve black-box sequential anomaly detector relevancy with limited user feedback. - Luyang Kong; Lifan Chen; Ming Chen; Parminder Bhatia; Laurent Callot (CoRR, 2020)

Dynamic Transfer Learning for Named Entity Recognition. - Parminder Bhatia; Kristjan Arumae; E. Busra Celikkaya (Precision Health and Medicine, 2020)

End-to-End Joint Entity Extraction and Negation Detection for Clinical Text. - Parminder Bhatia; E. Busra Celikkaya; Mohammed Khalilia (Precision Health and Medicine, 2020)

Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics. - Luyang Kong; Christopher Winestock; Parminder Bhatia (ACL/IJCNLP (Findings), 2021)

Neural Entity Recognition with Gazetteer based Fusion. - Qing Sun; Parminder Bhatia (ACL/IJCNLP (Findings), 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)

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)

Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey. - Xiaokai Wei; Shen Wang 005; Dejiao Zhang; Parminder Bhatia; Andrew O. Arnold (CoRR, 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)

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. - Zheng Li; Zijian Wang 002; Ming Tan; Ramesh Nallapati; Parminder Bhatia; Andrew O. Arnold; Bing Xiang; Dan Roth 001 (ACL (2), 2022)

Debiasing Neural Retrieval via In-batch Balancing Regularization. - Yuantong Li; Xiaokai Wei; Zijian Wang 002; Shen Wang 005; Parminder Bhatia; Xiaofei Ma 001; Andrew O. Arnold (CoRR, 2022)

ContraGen: Effective Contrastive Learning For Causal Language Model. - Nihal Jain; Dejiao Zhang; Wasi Uddin Ahmad; Zijian Wang 002; Feng Nan; Xiaopeng Li 002; Ming Tan; Ramesh Nallapati; Baishakhi Ray; Parminder Bhatia; Xiaofei Ma 001; Bing Xiang (CoRR, 2022)

Multi-lingual Evaluation of Code Generation Models. - Ben Athiwaratkun; Sanjay Krishna Gouda; Zijian Wang 002; Xiaopeng Li 002; Yuchen Tian; Ming Tan; Wasi Uddin Ahmad; Shiqi Wang 002; Qing Sun; Mingyue Shang; Sujan Kumar Gonugondla; Hantian Ding; et al. (CoRR, 2022)

ReCode: Robustness Evaluation of Code Generation Models. - Shiqi Wang 002; Zheng Li; Haifeng Qian; Chenghao Yang 001; Zijian Wang 002; Mingyue Shang; Varun Kumar; Samson Tan; Baishakhi Ray; Parminder Bhatia; Ramesh Nallapati; Murali Krishna Ramanathan; et al. (ACL (1), 2023)

A Static Evaluation of Code Completion by Large Language Models. - Hantian Ding; Varun Kumar; Yuchen Tian; Zijian Wang 002; Rob Kwiatkowski; Xiaopeng Li 002; Murali Krishna Ramanathan; Baishakhi Ray; Parminder Bhatia; Sudipta Sengupta; Dan Roth 001; Bing Xiang (ACL (industry), 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 001 (ACL (1), 2023)

ContraCLM: Contrastive Learning For Causal Language Model. - Nihal Jain; Dejiao Zhang; Wasi Uddin Ahmad; Zijian Wang 002; Feng Nan; Xiaopeng Li 002; Ming Tan; Ramesh Nallapati; Baishakhi Ray; Parminder Bhatia; Xiaofei Ma 001; Bing Xiang (ACL (1), 2023)

Exploring Continual Learning for Code Generation Models. - Prateek Yadav; Qing Sun; Hantian Ding; Xiaopeng Li 002; Dejiao Zhang; Ming Tan; Parminder Bhatia; Xiaofei Ma 001; Ramesh Nallapati; Murali Krishna Ramanathan; Mohit Bansal; Bing Xiang (ACL (2), 2023)

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

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. - Yangruibo Ding; Zijian Wang 002; Wasi Uddin Ahmad; Hantian Ding; Ming Tan; Nihal Jain; Murali Krishna Ramanathan; Ramesh Nallapati; Parminder Bhatia; Dan Roth 001; Bing Xiang (NeurIPS, 2023)

Towards Greener Yet Powerful Code Generation via Quantization: An Empirical Study. - Xiaokai Wei; Sujan Kumar Gonugondla; Shiqi Wang 002; Wasi Uddin Ahmad; Baishakhi Ray; Haifeng Qian; Xiaopeng Li 002; Varun Kumar; Zijian Wang 002; Yuchen Tian; Qing Sun; Ben Athiwaratkun; et al. (ESEC/SIGSOFT FSE, 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)

Greener yet Powerful: Taming Large Code Generation Models with Quantization. - Xiaokai Wei; Sujan K. Gonugondla; Wasi Uddin Ahmad; Shiqi Wang 002; Baishakhi Ray; Haifeng Qian; Xiaopeng Li 002; Varun Kumar; Zijian Wang 002; Yuchen Tian; Qing Sun; Ben Athiwaratkun; et al. (CoRR, 2023)

SonoSAM - Segment Anything on Ultrasound Images. - Hariharan Ravishankar; Rohan Patil; Vikram Melapudi; Parminder Bhatia; Taha A. Kass-Hout; Pavan Annangi (CoRR, 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; et al. (CoRR, 2023)

Token Alignment via Character Matching for Subword Completion. - Ben Athiwaratkun; Shiqi Wang 002; Mingyue Shang; Yuchen Tian; Zijian Wang 002; Sujan Kumar Gonugondla; Sanjay Krishna Gouda; Robert Kwiatkowski; Ramesh Nallapati; Parminder Bhatia; Bing Xiang (ACL (Findings), 2024)

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. - Xiaochen Wang 002; Junyu Luo 001; Jiaqi Wang 002; Yuan Zhong 002; Xiaokun Zhang 001; Yaqing Wang 001; Parminder Bhatia; Cao Xiao; Fenglong Ma (ACL (1), 2024)

CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. - Yangruibo Ding; Zijian Wang 002; Wasi Uddin Ahmad; Murali Krishna Ramanathan; Ramesh Nallapati; Parminder Bhatia; Dan Roth 001; Bing Xiang (LREC/COLING, 2024)

BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. - Aofei Chang; Jiaqi Wang 002; Han Liu 008; Parminder Bhatia; Cao Xiao; Ting Wang 006; Fenglong Ma (EMNLP (Findings), 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 022; Jiacheng Guo; Liangfu Chen; Parminder Bhatia; Ramesh Nallapati; Sudipta Sengupta; et al. (ICML, 2024)

TriSum: Learning Summarization Ability from Large Language Models with Structured Rationale. - Pengcheng Jiang; Cao Xiao; Zifeng Wang 008; Parminder Bhatia; Jimeng Sun 001; Jiawei Han 001 (NAACL-HLT, 2024)

KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. - Pengcheng Jiang; Lang Cao; Cao (Danica) Xiao; Parminder Bhatia; Jimeng Sun 001; Jiawei Han 001 (NeurIPS, 2024)

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. - Xiyao Wang; Jiuhai Chen; Zhaoyang Wang 004; Yuhang Zhou; Yiyang Zhou; Huaxiu Yao; Tianyi Zhou 001; Tom Goldstein; Parminder Bhatia; Furong Huang; Cao Xiao (CoRR, 2024)

Segment as You Wish - Free-Form Language-Based Segmentation for Medical Images. - Longchao Da; Rui Wang; Xiaojian Xu 010; Parminder Bhatia; Taha A. Kass-Hout; Hua Wei 001; Cao Xiao (CoRR, 2024)

Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs. - Shuyang Yu; Runxue Bao; Parminder Bhatia; Taha A. Kass-Hout; Jiayu Zhou; Cao Xiao (CoRR, 2024)

Deep Linear Hawkes Processes. - Yuxin Chang; Alex Boyd; Cao Xiao; Taha A. Kass-Hout; Parminder Bhatia; Padhraic Smyth; Andrew Warrington (CoRR, 2024)

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations. - Pengcheng Jiang; Cao Xiao; Tianfan Fu; Parminder Bhatia; Taha A. Kass-Hout; Jimeng Sun 001; Jiawei Han 001 (AAAI, 2025)

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 (ACL (1), 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 A. Kass-Hout (CVPR, 2025)

Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community Retrieval. - Pengcheng Jiang; Cao Xiao; Minhao Jiang; Parminder Bhatia; Taha A. Kass-Hout; Jimeng Sun 001; Jiawei Han 001 (ICLR, 2025)

FlanS: A Foundation Model for Free-Form Language-based Segmentation in Medical Images. - Longchao Da; Rui Wang; Xiaojian Xu 002; Parminder Bhatia; Taha A. Kass-Hout; Hua Wei 001; Cao Xiao (KDD (2), 2025)

Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement. - Xiyao Wang; Jiuhai Chen; Zhaoyang Wang 004; Yuhang Zhou; Yiyang Zhou; Huaxiu Yao; Tianyi Zhou 001; Tom Goldstein; Parminder Bhatia; Taha A. Kass-Hout; Furong Huang; Cao Xiao (NAACL (Findings), 2025)

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 (NAACL (Long Papers), 2025)

MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models. - Aofei Chang; Le Huang; Parminder Bhatia; Taha A. Kass-Hout; Fenglong Ma; Cao Xiao (CoRR, 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 A. Kass-Hout (CoRR, 2025)

Decipher-MR: A Vision-Language Foundation Model for 3D MRI Representations. - Zhijian Yang; Noel DSouza; Istvan Megyeri; Xiaojian Xu 010; Amin Honarmandi Shandiz; Farzin Haddadpour; Krisztian Koos; László Ruskó; Emanuele Valeriano; Bharadwaj Swaninathan; Lei Wu; Parminder Bhatia; et al. (CoRR, 2025)