Nallapati, Ramesh
Amazon (United States)
7 papers on CoChat
Most cited papers
- Verified
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Nallapati, R., Zhou, B., dos Santos, C., Gulcehre, C., & Xiang, B. (2016) · Proceedings of The 20th SIGNLL Conference on Computational Natural Language Learning
Topic ModelingAdvanced Text Analysis Techniques
Cited by 2,361
- Verified
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations
Perera, P., Nallapati, R., & Xiang, B. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning
Cited by 608
- Verified · note
Improving Factual Consistency of Abstractive Summarization via Question Answering
Nan, F., Nogueira dos Santos, C., Zhu, H., Ng, P., McKeown, K., Nallapati, R., Zhang, D., Wang, Z., Arnold, A. O., & Xiang, B. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 78
- Verified
ReCode: Robustness Evaluation of Code Generation Models
Wang, S., Li, Z., Qian, H., Yang, C., Wang, Z., Shang, M., Kumar, V., Tan, S., Ray, B., Bhatia, P., et al. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Software Engineering ResearchTopic Modeling
Cited by 42
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Multi-lingual Evaluation of Code Generation Models
Athiwaratkun, B., Gouda, S. K., Wang, Z., Li, X., Tian, Y., Tan, M., Ahmad, W. U., Wang, S., Sun, Q., Shang, M., et al. (2022) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 38
- Verified
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion
Ding, Y., Wang, Z., Ahmad, W. U., Ding, H., Tan, M., Jain, N., Ramanathan, M. K., Nallapati, R., Bhatia, P., Roth, D., et al. (2023) · arXiv
Software Engineering ResearchTeaching and Learning Programming
Cited by 37
- Verified
CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context
Ding, Y., Wang, Z., Ahmad, W. U., Ramanathan, M. K., Nallapati, R., Bhatia, P., Roth, D., & Xiang, B. (2022) · arXiv
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 20
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