Stebėti
Parminder Bhatia
Parminder Bhatia
Chief AI Officer, GE Healthcare
Patvirtintas el. paštas ge.com - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Better document-level sentiment analysis from rst discourse parsing
P Bhatia, Y Ji, J Eisenstein
EMNLP 2015, 2015
2372015
Multi-lingual evaluation of code generation models
B Athiwaratkun, SK Gouda, Z Wang, X Li, Y Tian, M Tan, WU Ahmad, ...
arXiv preprint arXiv:2210.14868, 2022
1252022
Crosscodeeval: A diverse and multilingual benchmark for cross-file code completion
Y Ding, Z Wang, W Ahmad, H Ding, M Tan, N Jain, MK Ramanathan, ...
Advances in Neural Information Processing Systems 36, 46701-46723, 2023
1072023
COVID-19 knowledge graph: accelerating information retrieval and discovery for scientific literature
C Wise, VN Ioannidis, MR Calvo, X Song, G Price, N Kulkarni, R Brand, ...
AACL 2020 Workshop, 2020
982020
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning
M Jin, MT Bahadori, A Colak, P Bhatia, B Celikkaya, R Bhakta, ...
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018, 2018
862018
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service
P Bhatia, B Celikkaya, M Khalilia, S Senthivel
IEEE ICMLA, 2019
762019
Joint Entity Extraction and Assertion Detection for Clinical Text
P Bhatia, B Celikkaya, M Khalilia
Proceedings of the 57th Conference of the Association for Computational …, 2019
63*2019
Cocomic: Code completion by jointly modeling in-file and cross-file context
Y Ding, Z Wang, WU Ahmad, MK Ramanathan, R Nallapati, P Bhatia, ...
arXiv preprint arXiv:2212.10007, 2022
622022
ReCode: Robustness evaluation of code generation models
S Wang, Z Li, H Qian, C Yang, Z Wang, M Shang, V Kumar, S Tan, B Ray, ...
arXiv preprint arXiv:2212.10264, 2022
552022
Morphological priors for probabilistic neural word embeddings
P Bhatia, R Guthrie, J Eisenstein
EMNLP 2016, 2016
512016
Knowledge enhanced pretrained language models: A compreshensive survey
X Wei, S Wang, D Zhang, P Bhatia, A Arnold
arXiv preprint arXiv:2110.08455, 2021
502021
LATTE: Latent Type Modeling for Biomedical Entity Linking
M Zhu, CR Busra Cellikaya, Parminder Bhatia
AAAI 2020, 2020
502020
DQ-BART: Efficient sequence-to-sequence model via joint distillation and quantization
Z Li, Z Wang, M Tan, R Nallapati, P Bhatia, A Arnold, B Xiang, D Roth
arXiv preprint arXiv:2203.11239, 2022
452022
Dynamic Transfer Learning for Named Entity Recognition
P Bhatia, K Arumae, B Celikkaya
(AAAI) 2019 Workshop on Health Intelligence, 2019
382019
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
M Ballesteros, R Anubhai, S Wang, N Pourdamghani, Y Vyas, J Ma, ...
ACL 2020, 2020
362020
Linear spaces of meanings: compositional structures in vision-language models
M Trager, P Perera, L Zancato, A Achille, P Bhatia, S Soatto
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
34*2023
Exploring continual learning for code generation models
P Yadav, Q Sun, H Ding, X Li, D Zhang, M Tan, X Ma, P Bhatia, ...
arXiv preprint arXiv:2307.02435, 2023
302023
Enhancing visual-language modality alignment in large vision language models via self-improvement
X Wang, J Chen, Z Wang, Y Zhou, Y Zhou, H Yao, T Zhou, T Goldstein, ...
arXiv preprint arXiv:2405.15973, 2024
292024
Relation extraction using explicit context conditioning
GS Tomar, P Bhatia
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
26*2019
Towards clinical encounter summarization: Learning to compose discharge summaries from prior notes
HC Shing, C Shivade, N Pourdamghani, F Nan, P Resnik, D Oard, ...
arXiv preprint arXiv:2104.13498, 2021
202021
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