---
title: "Ramesh Nallapati — all works — Elamur Research"
description: "All 30 works of Ramesh Nallapati in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Ramesh Nallapati — all works

30 works · [← Ramesh Nallapati](https://md.research.elamur.ai/free/en/authors/ramesh-nallapati/)

1. **[Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond](https://md.research.elamur.ai/free/en/papers/nallapati-2016-abstractive-text-summarization-sequence-sequence/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, et al.*2016 · 3,260 citations*
2. **[SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents](https://md.research.elamur.ai/free/en/papers/nallapati-2016-summarunner-recurrent-neural-network-based/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Ramesh Nallapati, Feifei Zhai, Bowen Zhou*2016 · 1,575 citations*
3. **[Multi-instance Multi-label Learning for Relation Extraction ↗](https://aclanthology.org/D12-1042/) Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning · no summary yet**Mihai Surdeanu et al.*2012 · 813 citations*
4. **[Pointing the Unknown Words](https://md.research.elamur.ai/free/en/papers/gulcehre-2016-pointing-unknown-words/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Caglar Gulcehre, Sungjin Ahn, Ramesh Nallapati, et al.*2016 · 651 citations*
5. **[OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations ↗](https://doi.org/10.1109/cvpr.2019.00301) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Pramuditha Perera, Ramesh M. Nallapati, Bing Xiang*2019 · 586 citations*
6. **[Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2019-multi-passage-bert-globally-normalized/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhiguo Wang, Patrick Ng, Xiaofei Ma, et al.*2019 · 303 citations*
7. **[Supporting Clustering with Contrastive Learning](https://md.research.elamur.ai/free/en/papers/zhang-2021-supporting-clustering-contrastive-learning/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dejiao Zhang, Feng Nan, Xiaokai Wei, et al.*2021 · 239 citations*
8. **[Entity-level Factual Consistency of Abstractive Text Summarization](https://md.research.elamur.ai/free/en/papers/nan-2021-entity-level-factual-consistency-abstractive/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Feng Nan, Ramesh Nallapati, Zhiguo Wang, et al.*2021 · 207 citations*
9. **[Topic Modeling with Wasserstein Autoencoders ↗](https://aclanthology.org/P19-1640/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Feng Nan et al.*2019 · 171 citations*
10. **[Improving Factual Consistency of Abstractive Summarization via Question Answering](https://md.research.elamur.ai/free/en/papers/nan-2021-improving-factual-consistency-abstractive-summarization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Feng Nan, Cicero Nogueira dos Santos, Henghui Zhu, et al.*2021 · 129 citations*
11. **[Domain Adaptation with BERT-based Domain Classification and Data Selection ↗](https://aclanthology.org/D19-6109/) Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) · no summary yet**Xiaofei Ma et al.*2019 · 122 citations*
12. **[End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems ↗](https://aclanthology.org/2020.emnlp-main.439/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Siamak Shakeri et al.*2020 · 120 citations*
13. **[Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering ↗](https://aclanthology.org/2020.acl-main.413/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Alexander Fabbri et al.*2020 · 110 citations*
14. **[Coherence-Aware Neural Topic Modeling ↗](https://aclanthology.org/D18-1096/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ran Ding, Ramesh Nallapati, Bing Xiang*2018 · 106 citations*
15. **[Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora](https://md.research.elamur.ai/free/en/papers/ramage-2009-labeled-lda-supervised-topic-model/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Daniel Ramage, David Hall, Ramesh Nallapati, et al.*2009 · 87 citations*
16. **[Multi-lingual Evaluation of Code Generation Models ↗](https://arxiv.org/abs/2210.14868) arXiv:2210.14868 · no summary yet**Ben Athiwaratkun et al.*2022 · 86 citations*
17. **[ReCode: Robustness Evaluation of Code Generation Models ↗](https://aclanthology.org/2023.acl-long.773/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shiqi Wang et al.*2023 · 68 citations*
18. **[Legal Docket Classification: Where Machine Learning Stumbles ↗](https://aclanthology.org/D08-1046/) Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ramesh Nallapati, Christopher D. Manning*2008 · 60 citations*
19. **[CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context](https://md.research.elamur.ai/free/en/papers/ding-2024-cocomic-code-completion-jointly-modeling/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Yangruibo Ding, Zijian Wang, Wasi Ahmad, et al.*2024 · 45 citations*
20. **[DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization ↗](https://aclanthology.org/2022.acl-short.22/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Zheng Li et al.*2022 · 34 citations*
21. **[Exploring Continual Learning for Code Generation Models ↗](https://aclanthology.org/2023.acl-short.68/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Prateek Yadav et al.*2023 · 26 citations*
22. **[TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents ↗](https://openalex.org/W2185870924) no summary yet**Ramesh M. Nallapati, Daniel A. McFarland, Christopher D. Manning*2011 · 25 citations*
23. **[Efficient Few-Shot Fine-Tuning for Opinion Summarization ↗](https://aclanthology.org/2022.findings-naacl.113/) Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yet**Arthur Brazinskas et al.*2022 · 23 citations*
24. **[Risk analysis for intellectual property litigation ↗](https://doi.org/10.1145/2018358.2018375) International Conference on Artificial Intelligence and Law · no summary yet**Mihai Surdeanu et al.*2011 · 18 citations*
25. **[Code Representation Learning At Scale ↗](https://arxiv.org/abs/2402.01935) arXiv (Cornell University) · no summary yet**Dejiao Zhang et al.*2024 · 13 citations*
26. **[CorrActive Learning: Learning from Noisy Data through Human Interaction ↗](https://openalex.org/W177233457) no summary yet**Ramesh M. Nallapati, Mihai Surdeanu, Christopher D. Manning*2009 · 8 citations*
27. **[Legal Claim Identification: Information Extraction with Hierarchically Labeled Data ↗](https://openalex.org/W7097349270) no summary yet**Mihai Surdeanu, Ramesh M. Nallapati, Christopher D. Manning*2012 · 3 citations*
28. **[Who Leads Whom: Topical Lead-Lag Analysis across corpora ↗](https://openalex.org/W7099701535) no summary yet**Xiaolin Shi et al.*2010 · 2 citations*
29. **[Blind Domain Transfer for Named Entity Recognition using Generative Latent Topic Models ↗](https://openalex.org/W7096692245) no summary yet**Ramesh M. Nallapati, Mihai Surdeanu, Christopher D. Manning*2016*
30. **[Legal Docket-Entry Classification: Where Machine Learning stumbles ↗](https://openalex.org/W7098950355) no summary yet**Ramesh M. Nallapati, Christopher D. Manning*2011*