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2020 – today
- 2023
[c17]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: 347-360- [c16]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: 782-792 - [c15]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: 6436-6459 - [c14]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: 11067-11083 - [c13]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: 13818-13843 - [i33]Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Bing Xiang, Stefano Soatto:
Linear Spaces of Meanings: the Compositional Language of VLMs. CoRR abs/2302.14383 (2023) - [i32]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 abs/2303.05378 (2023) - [i31]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 abs/2306.03203 (2023) - [i30]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 abs/2307.02435 (2023) - 2022
- [c12]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: 203-211 - [i29]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 abs/2203.11239 (2022) - [i28]Yuantong Li
, Xiaokai Wei, Zijian Wang, Shen Wang, Parminder Bhatia, Xiaofei Ma, Andrew O. Arnold:
Debiasing Neural Retrieval via In-batch Balancing Regularization. CoRR abs/2205.09240 (2022) - [i27]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 abs/2210.01185 (2022) - [i26]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 abs/2210.14868 (2022) - [i25]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 abs/2212.10007 (2022) - [i24]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 abs/2212.10264 (2022) - 2021
- [c11]Luyang Kong, Christopher Winestock, Parminder Bhatia:
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics. ACL/IJCNLP (Findings) 2021: 2401-2405 - [c10]Qing Sun, Parminder Bhatia:
Neural Entity Recognition with Gazetteer based Fusion. ACL/IJCNLP (Findings) 2021: 3291-3295 - [i23]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 abs/2104.13498 (2021) - [i22]Luyang Kong, Christopher Winestock, Parminder Bhatia:
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics. CoRR abs/2105.12682 (2021) - [i21]Qing Sun, Parminder Bhatia:
Neural Entity Recognition with Gazetteer based Fusion. CoRR abs/2105.13225 (2021) - [i20]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 abs/2107.11094 (2021) - [i19]Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, Andrew O. Arnold:
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey. CoRR abs/2110.08455 (2021) - [i18]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 abs/2111.06012 (2021) - 2020
- [c9]Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy:
LATTE: Latent Type Modeling for Biomedical Entity Linking. AAAI 2020: 9757-9764 - [c8]Kristjan Arumae, Qing Sun, Parminder Bhatia:
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training. EMNLP (1) 2020: 4854-4864 - [c7]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: 5412-5417 - [p2]Parminder Bhatia, Kristjan Arumae, E. Busra Celikkaya:
Dynamic Transfer Learning for Named Entity Recognition. Precision Health and Medicine 2020: 69-81 - [p1]Parminder Bhatia, E. Busra Celikkaya, Mohammed Khalilia:
End-to-End Joint Entity Extraction and Negation Detection for Clinical Text. Precision Health and Medicine 2020: 139-148 - [i17]Kristjan Arumae, Parminder Bhatia:
CALM: Continuous Adaptive Learning for Language Modeling. CoRR abs/2004.03794 (2020) - [i16]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 abs/2004.04295 (2020) - [i15]Shaoqing Yuan, Parminder Bhatia, Busra Celikkaya, Haiyang Liu, Kyunghwan Choi:
Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network. CoRR abs/2007.00492 (2020) - [i14]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 abs/2007.09186 (2020) - [i13]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 abs/2007.12731 (2020) - [i12]Luyang Kong, Lifan Chen, Ming Chen, Parminder Bhatia, Laurent Callot:
Improve black-box sequential anomaly detector relevancy with limited user feedback. CoRR abs/2009.07241 (2020) - [i11]Kristjan Arumae, Qing Sun, Parminder Bhatia:
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training. CoRR abs/2010.00784 (2020)
2010 – 2019
- 2019
- [c6]Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia:
Joint Entity Extraction and Assertion Detection for Clinical Text. ACL (1) 2019: 954-959 - [c5]Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel:
Comprehend Medical: A Named Entity Recognition and Relationship Extraction Web Service. ICMLA 2019: 1844-1851 - [c4]Parminder Bhatia, Kristjan Arumae, Busra Celikkaya:
Towards Fast and Unified Transfer Learning Architectures for Sequence Labeling. ICMLA 2019: 1852-1859 - [c3]Gaurav Singh, Parminder Bhatia:
Relation Extraction using Explicit Context Conditioning. NAACL-HLT (1) 2019: 1442-1447 - [i10]Gaurav Singh, Parminder Bhatia:
Relation Extraction using Explicit Context Conditioning. CoRR abs/1902.09271 (2019) - [i9]Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia, Selvan Senthivel:
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service. CoRR abs/1910.07419 (2019) - [i8]Kristjan Arumae, Parminder Bhatia, Fei Liu:
Towards Annotating and Creating Sub-Sentence Summary Highlights. CoRR abs/1910.07659 (2019) - [i7]Ming Zhu, Busra Celikkaya, Parminder Bhatia, Chandan K. Reddy:
LATTE: Latent Type Modeling for Biomedical Entity Linking. CoRR abs/1911.09787 (2019) - 2018
- [i6]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 abs/1811.12276 (2018) - [i5]Parminder Bhatia, Busra Celikkaya, Mohammed Khalilia:
End-to-end Joint Entity Extraction and Negation Detection for Clinical Text. CoRR abs/1812.05270 (2018) - [i4]Parminder Bhatia, Kristjan Arumae, Busra Celikkaya:
Dynamic Transfer Learning for Named Entity Recognition. CoRR abs/1812.05288 (2018) - 2017
- [i3]Parminder Bhatia, Marsal Gavaldà, Arash Einolghozati:
soc2seq: Social Embedding meets Conversation Model. CoRR abs/1702.05512 (2017) - 2016
- [c2]Parminder Bhatia, Robert Guthrie, Jacob Eisenstein:
Morphological Priors for Probabilistic Neural Word Embeddings. EMNLP 2016: 490-500 - [i2]Parminder Bhatia, Robert Guthrie, Jacob Eisenstein:
Morphological Priors for Probabilistic Neural Word Embeddings. CoRR abs/1608.01056 (2016) - 2015
- [c1]Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein:
Better Document-level Sentiment Analysis from RST Discourse Parsing. EMNLP 2015: 2212-2218 - [i1]Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein:
Better Document-level Sentiment Analysis from RST Discourse Parsing. CoRR abs/1509.01599 (2015)
Coauthor Index
aka: E. Busra Celikkaya
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last updated on 2023-09-08 09:58 CEST by the dblp team
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