Ramesh Nallapati

According to our database, Ramesh Nallapati authored at least 74 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Token Alignment via Character Matching for Subword Completion.

Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Rob Kwiatkowski, Ramesh Nallapati, Bing Xiang

CoRR, 2024

Bifurcated Attention for Single-Context Large-Batch Sampling.

Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Haifeng Qian, Hantian Ding, Qing Sun, Jun Wang, Jiacheng Guo, Liangfu Chen, Parminder Bhatia, Ramesh Nallapati, Sudipta Sengupta, Bing Xiang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Code Representation Learning at Scale.

Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context.

Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

BASS: Batched Attention-optimized Speculative Sampling.

Haifeng Qian, Sujan Kumar Gonugondla, Sungsoo Ha, Mingyue Shang, Sanjay Krishna Gouda, Ramesh Nallapati, Sudipta Sengupta, Xiaofei Ma, Anoop Deoras

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Token Alignment via Character Matching for Subword Completion.

Ben Athiwaratkun, Shiqi Wang, Mingyue Shang, Yuchen Tian, Zijian Wang, Sujan Kumar Gonugondla, Sanjay Krishna Gouda, Robert Kwiatkowski, Ramesh Nallapati, Parminder Bhatia, Bing Xiang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion.

Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-lingual Evaluation of Code Generation Models.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Exploring Continual Learning for Code Generation Models.

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

ContraCLM: Contrastive Learning For Causal Language Model.

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation.

Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati, Xiaofei Ma

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ReCode: Robustness Evaluation of Code Generation Models.

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Multi-lingual Evaluation of Code Generation Models.

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

CoRR, 2022

ContraGen: Effective Contrastive Learning For Causal Language Model.

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

CoRR, 2022

Efficient Few-Shot Fine-Tuning for Opinion Summarization.

Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding.

Jun Wang, Patrick Ng, Alexander Hanbo Li, Jiarong Jiang, Zhiguo Wang, Bing Xiang, Ramesh Nallapati, Sudipta Sengupta

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization.

Zheng Li, Zijian Wang, Ming Tan, Ramesh Nallapati, Parminder Bhatia, Andrew O. Arnold, Bing Xiang, Dan Roth

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Transductive Learning for Abstractive News Summarization.

Arthur Brazinskas, Mengwen Liu, Ramesh Nallapati, Sujith Ravi, Markus Dreyer

CoRR, 2021

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion.

Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz

Proceedings of the WWW '21: The Web Conference 2021, 2021

Supporting Clustering with Contrastive Learning.

Dejiao Zhang, Feng Nan, Xiaokai Wei, Shang-Wen Li, Henghui Zhu, Kathleen R. McKeown, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Pairwise Supervised Contrastive Learning of Sentence Representations.

Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering.

Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Entity-level Factual Consistency of Abstractive Text Summarization.

Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cícero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding.

Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Philip S. Yu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Improving Factual Consistency of Abstractive Summarization via Question Answering.

Feng Nan, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction.

Yifan Gao, Henghui Zhu, Patrick Ng, Cícero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.

Siamak Shakeri, Cícero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

CoRR, 2020

Embedding-based Zero-shot Retrieval through Query Generation.

Davis Liang, Peng Xu, Siamak Shakeri, Cícero Nogueira dos Santos, Ramesh Nallapati, Zhiheng Huang, Bing Xiang

CoRR, 2020

Elastic Machine Learning Algorithms in Amazon SageMaker.

Edo Liberty, Zohar S. Karnin, Bing Xiang, Laurence Rouesnel, Baris Coskun, Ramesh Nallapati, Julio Delgado, Amir Sadoughi, Yury Astashonok, Piali Das, Can Balioglu, Saswata Chakravarty, Madhav Jha, Philip Gautier, David Arpin, Tim Januschowski, Valentin Flunkert, Yuyang Wang, Jan Gasthaus, Lorenzo Stella, Syama Sundar Rangapuram, David Salinas, Sebastian Schelter, Alex Smola

Proceedings of the 2020 International Conference on Management of Data, 2020

Unsupervised Domain Adaptation for Cross-lingual Text Labeling.

Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Cícero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network.

Shen Wang, Xiaokai Wei, Cícero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems.

Siamak Shakeri, Cícero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Beyond [CLS] through Ranking by Generation.

Cícero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering.

Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer.

Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Universal Text Representation from BERT: An Empirical Study.

Xiaofei Ma, Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang

CoRR, 2019

Passage Ranking with Weak Supervsion.

Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang

CoRR, 2019

Multi Sense Embeddings from Topic Models.

Shobhit Jain, Sravan Babu Bodapati, Ramesh Nallapati, Anima Anandkumar

Proceedings of the 3rd International Conference on Natural Language and Speech Processing, 2019

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering.

Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations.

Pramuditha Perera, Ramesh Nallapati, Bing Xiang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Topic Modeling with Wasserstein Autoencoders.

Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Domain Adaptation with BERT-based Domain Classification and Data Selection.

Xiaofei Ma, Peng Xu, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018

Coherence-Aware Neural Topic Modeling.

Ran Ding, Ramesh Nallapati, Bing Xiang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

SenGen: Sentence Generating Neural Variational Topic Model.

Ramesh Nallapati, Igor Melnyk, Abhishek Kumar, Bowen Zhou

CoRR, 2017

SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents.

Ramesh Nallapati, Feifei Zhai, Bowen Zhou

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Classify or Select: Neural Architectures for Extractive Document Summarization.

Ramesh Nallapati, Bowen Zhou, Mingbo Ma

CoRR, 2016

Sequence-to-Sequence RNNs for Text Summarization.

Ramesh Nallapati, Bing Xiang, Bowen Zhou

CoRR, 2016

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond.

Ramesh Nallapati, Bowen Zhou, Cícero Nogueira dos Santos, Çaglar Gülçehre, Bing Xiang

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Pointing the Unknown Words.

Çaglar Gülçehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Shallow Training is cheap but is it good enough? Experiments with Medical Fact Coding.

Ramesh Nallapati, Radu Florian

Proceedings of the Workshop on Biomedical Natural Language Processing, BioNLP@IJCNLP 2015, 2015

2014

Evaluating Multimedia Features and Fusion for Example-Based Event Detection.

Gregory K. Myers, Cees G. M. Snoek, Ramakant Nevatia, Ramesh Nallapati, Julien van Hout, Stephanie Pancoast, Chen Sun, AmirHossein Habibian, Dennis C. Koelma, Koen E. A. van de Sande, Arnold W. M. Smeulders

Proceedings of the Fusion in Computer Vision - Understanding Complex Visual Content, 2014

Evaluating multimedia features and fusion for example-based event detection.

Gregory K. Myers, Ramesh Nallapati, Julien van Hout, Stephanie Pancoast, Ramakant Nevatia, Chen Sun, AmirHossein Habibian, Dennis C. Koelma, Koen E. A. van de Sande, Arnold W. M. Smeulders, Cees G. M. Snoek

Mach. Vis. Appl., 2014

Joint question clustering and relevance prediction for open domain non-factoid question answering.

Snigdha Chaturvedi, Vittorio Castelli, Radu Florian, Ramesh Nallapati, Hema Raghavan

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

Sparse conditional mixture model: late fusion with missing scores for multimedia event detection.

Ramesh Nallapati, Eric Yeh, Gregory K. Myers

Proceedings of the Multimedia Content and Mobile Devices 2013, 2013

2012

The 2012 SESAME Multimedia Event Detection (MED) System.

Murat Akbacak, Robert C. Bolles, J. Brian Burns, Mark Elliot, Aaron Heller, James A. Herson, Gregory K. Myers, Ramesh Nallapati, Stephanie Pancoast, Julien van Hout, Eric Yeh, AmirHossein Habibian, Dennis C. Koelma, Zhenyang Li, Masoud Mazloom, Silvia-Laura Pintea, Koen E. A. van de Sande, Arnold W. M. Smeulders, Cees G. M. Snoek, Sung Chun Lee, Ram Nevatia, Pramod Sharma, Chen Sun, Rémi Trichet

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

Multi-instance Multi-label Learning for Relation Extraction.

Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, Christopher D. Manning

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011

TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents.

Ramesh Nallapati, Daniel A. McFarland, Christopher D. Manning

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

The SESAME MED System.

Murat Akbacak, Robert C. Bolles, J. Brian Burns, Mark Elliot, Aaron Heller, James A. Herson, Gregory K. Myers, Ramesh Nallapati, Eric Yeh, Dennis C. Koelma, Xirong Li, Masoud Mazloom, Koen E. A. van de Sande, Arnold W. M. Smeulders, Cees G. M. Snoek, Sung Chun Lee, Ram Nevatia, Pramod Sharma, Chen Sun, Rémi Trichet

Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011

LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets.

Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky

Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Risk analysis for intellectual property litigation.

Mihai Surdeanu, Ramesh Nallapati, George Gregory, Joshua Walker, Christopher D. Manning

Proceedings of the 13th International Conference on Artificial Intelligence and Law, 2011

2009

Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora.

Daniel Ramage, David Hall, Ramesh Nallapati, Christopher D. Manning

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

2008

Joint latent topic models for text and citations.

Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs.

Ramesh Nallapati, William W. Cohen

Proceedings of the Second International Conference on Weblogs and Social Media, 2008

Legal Docket Classification: Where Machine Learning Stumbles.

Ramesh Nallapati, Christopher D. Manning

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition.

Andrew O. Arnold, Ramesh Nallapati, William W. Cohen

Proceedings of the ACL 2008, 2008

2007

Multiscale topic tomography.

Ramesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability.

Ramesh Nallapati, William W. Cohen, John D. Lafferty

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models.

Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Comparative Study of Methods for Transductive Transfer Learning.

Andrew O. Arnold, Ramesh Nallapati, William W. Cohen

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2004

Discriminative models for information retrieval.

Ramesh Nallapati

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

Event threading within news topics.

Ramesh Nallapati, Ao Feng, Fuchun Peng, James Allan

Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

2003

Semantic Language Models for Topic Detection and Tracking.

Ramesh Nallapati

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

Relevant query feedback in statistical language modeling.

Ramesh Nallapati, W. Bruce Croft, James Allan

Proceedings of the 2003 ACM CIKM International Conference on Information and Knowledge Management, 2003

2002

Capturing term dependencies using a language model based on sentence trees.

Ramesh Nallapati, James Allan

Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002