| Better document-level sentiment analysis from rst discourse parsing P Bhatia, Y Ji, J Eisenstein EMNLP 2015, 2015 | 228 | 2015 |
| 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 | 107 | 2022 |
| 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 | 98 | 2020 |
| 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 | 81 | 2018 |
| 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, 2024 | 74 | 2024 |
| Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service P Bhatia, B Celikkaya, M Khalilia, S Senthivel IEEE ICMLA, 2019 | 74 | 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 | 60 | 2022 |
| 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 | 59* | 2019 |
| Morphological priors for probabilistic neural word embeddings P Bhatia, R Guthrie, J Eisenstein EMNLP 2016, 2016 | 51 | 2016 |
| Knowledge enhanced pretrained language models: A compreshensive survey X Wei, S Wang, D Zhang, P Bhatia, A Arnold arXiv preprint arXiv:2110.08455, 2021 | 48 | 2021 |
| LATTE: Latent Type Modeling for Biomedical Entity Linking M Zhu, CR Busra Cellikaya, Parminder Bhatia AAAI 2020, 2020 | 48 | 2020 |
| 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 | 41 | 2022 |
| Dynamic Transfer Learning for Named Entity Recognition P Bhatia, K Arumae, B Celikkaya (AAAI) 2019 Workshop on Health Intelligence, 2019 | 35 | 2019 |
| 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 | 34 | 2020 |
| 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 | 29 | 2022 |
| 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 | 23* | 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 | 22 | 2023 |
| Relation extraction using explicit context conditioning GS Tomar, P Bhatia Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 22* | 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 | 20 | 2021 |
| AWS CORD-19 search: A neural search engine for COVID-19 literature P Bhatia, L Liu, K Arumae, N Pourdamghani, S Deshpande, B Snively, ... International Workshop on Health Intelligence, 131-145, 2021 | 16* | 2021 |
Bing XiangHead of AI Research, Goldman SachsVerified email at gs.com
