Ramesh Nallapati
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
18
Active years
2002–2024
Best venue rank
A*
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | COLING | 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 |
| 2024 | ICLR | Code Representation Learning at Scale. | Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang |
| 2024 | ICML | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ICLR | 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 |
| 2022 | ACL | 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 |
| 2022 | EMNLP | 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 |
| 2022 | NAACL | Efficient Few-Shot Fine-Tuning for Opinion Summarization. | Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer |
| 2021 | ACL | Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. | Yifan Gao, Henghui Zhu, Patrick Ng, Ccero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang |
| 2021 | ACL | Improving Factual Consistency of Abstractive Summarization via Question Answering. | Feng Nan, Ccero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Kathleen R. McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold, Bing Xiang |
| 2021 | EACL | Entity-level Factual Consistency of Abstractive Text Summarization. | Feng Nan, Ramesh Nallapati, Zhiguo Wang, Ccero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathy McKeown, Bing Xiang |
| 2021 | EACL | Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering. | Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang |
| 2021 | EMNLP | Pairwise Supervised Contrastive Learning of Sentence Representations. | Dejiao Zhang, Shang-Wen Li, Wei Xiao, Henghui Zhu, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang |
| 2021 | NAACL | 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 |
| 2021 | WWW | Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. | Shen Wang, Xiaokai Wei, Ccero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu, Isabel F. Cruz |
| 2020 | AAAI | Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. | Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang |
| 2020 | ACL | Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. | Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang |
| 2020 | EMNLP | Beyond [CLS] through Ranking by Generation. | Ccero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang |
| 2020 | EMNLP | End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems. | Siamak Shakeri, Ccero Nogueira dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang |
| 2020 | EMNLP | H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. | Shen Wang, Xiaokai Wei, Ccero Nogueira dos Santos, Zhiguo Wang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang, Philip S. Yu |
| 2020 | EMNLP | Unsupervised Domain Adaptation for Cross-lingual Text Labeling. | Dejiao Zhang, Ramesh Nallapati, Henghui Zhu, Feng Nan, Ccero Nogueira dos Santos, Kathleen R. McKeown, Bing Xiang |
| 2020 | SIGMOD | 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 |
| 2019 | ACL | Topic Modeling with Wasserstein Autoencoders. | Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang |
| 2019 | CVPR | OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. | Pramuditha Perera, Ramesh Nallapati, Bing Xiang |
| 2019 | EMNLP | Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. | Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang |
| 2018 | EMNLP | Coherence-Aware Neural Topic Modeling. | Ran Ding, Ramesh Nallapati, Bing Xiang |
| 2017 | AAAI | SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents. | Ramesh Nallapati, Feifei Zhai, Bowen Zhou |
| 2016 | ACL | Pointing the Unknown Words. | aglar Glehre, Sungjin Ahn, Ramesh Nallapati, Bowen Zhou, Yoshua Bengio |
| 2016 | CoNLL | Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. | Ramesh Nallapati, Bowen Zhou, Ccero Nogueira dos Santos, aglar Glehre, Bing Xiang |
| 2014 | WWW | Joint question clustering and relevance prediction for open domain non-factoid question answering. | Snigdha Chaturvedi, Vittorio Castelli, Radu Florian, Ramesh Nallapati, Hema Raghavan |
| 2012 | EMNLP | Multi-instance Multi-label Learning for Relation Extraction. | Mihai Surdeanu, Julie Tibshirani, Ramesh Nallapati, Christopher D. Manning |
| 2011 | ICAIL | Risk analysis for intellectual property litigation. | Mihai Surdeanu, Ramesh Nallapati, George Gregory, Joshua Walker, Christopher D. Manning |
| 2011 | ICWSM | LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. | Ramesh Nallapati, Xiaolin Shi, Daniel A. McFarland, Jure Leskovec, Daniel Jurafsky |
| 2009 | EMNLP | Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora. | Daniel Ramage, David Hall, Ramesh Nallapati, Christopher D. Manning |
| 2008 | ACL | Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. | Andrew O. Arnold, Ramesh Nallapati, William W. Cohen |
| 2008 | EMNLP | Legal Docket Classification: Where Machine Learning Stumbles. | Ramesh Nallapati, Christopher D. Manning |
| 2008 | ICWSM | Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs. | Ramesh Nallapati, William W. Cohen |
| 2008 | KDD | Joint latent topic models for text and citations. | Ramesh Nallapati, Amr Ahmed, Eric P. Xing, William W. Cohen |
| 2007 | ICDM | A Comparative Study of Methods for Transductive Transfer Learning. | Andrew O. Arnold, Ramesh Nallapati, William W. Cohen |
| 2007 | ICDM | Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. | Ramesh Nallapati, Amr Ahmed, William W. Cohen, Eric P. Xing |
| 2007 | ICDM | Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. | Ramesh Nallapati, William W. Cohen, John D. Lafferty |
| 2007 | KDD | Multiscale topic tomography. | Ramesh Nallapati, Susan Ditmore, John D. Lafferty, Kin Ung |
| 2004 | CIKM | Event threading within news topics. | Ramesh Nallapati, Ao Feng, Fuchun Peng, James Allan |
| 2004 | SIGIR | Discriminative models for information retrieval. | Ramesh Nallapati |
| 2003 | CIKM | Relevant query feedback in statistical language modeling. | Ramesh Nallapati, W. Bruce Croft, James Allan |
| 2003 | NAACL | Semantic Language Models for Topic Detection and Tracking. | Ramesh Nallapati |
| 2002 | CIKM | Capturing term dependencies using a language model based on sentence trees. | Ramesh Nallapati, James Allan |