Capturing term dependencies using a language model based on sentence trees. - Ramesh Nallapati; James Allan (CIKM, 2002)

Relevant query feedback in statistical language modeling. - Ramesh Nallapati; W. Bruce Croft; James Allan (CIKM, 2003)

Semantic Language Models for Topic Detection and Tracking. - Ramesh Nallapati (HLT-NAACL, 2003)

Event threading within news topics. - Ramesh Nallapati; Ao Feng; Fuchun Peng; James Allan (CIKM, 2004)

Discriminative models for information retrieval. - Ramesh Nallapati (SIGIR, 2004)

A Comparative Study of Methods for Transductive Transfer Learning. - Andrew O. Arnold; Ramesh Nallapati; William W. Cohen (ICDM Workshops, 2007)

Sparse Word Graphs: A Scalable Algorithm for Capturing Word Correlations in Topic Models. - Ramesh Nallapati; Amr Ahmed 001; William W. Cohen; Eric P. Xing (ICDM Workshops, 2007)

Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability. - Ramesh Nallapati; William W. Cohen; John D. Lafferty (ICDM Workshops, 2007)

Multiscale topic tomography. - Ramesh Nallapati; Susan Ditmore; John D. Lafferty; Kin Ung (KDD, 2007)

Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition. - Andrew O. Arnold; Ramesh Nallapati; William W. Cohen (ACL, 2008)

Legal Docket Classification: Where Machine Learning Stumbles. - Ramesh Nallapati; Christopher D. Manning (EMNLP, 2008)

Link-PLSA-LDA: A New Unsupervised Model for Topics and Influence of Blogs. - Ramesh Nallapati; William W. Cohen (ICWSM, 2008)

Joint latent topic models for text and citations. - Ramesh Nallapati; Amr Ahmed 001; Eric P. Xing; William W. Cohen (KDD, 2008)

Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora. - Daniel Ramage; David Hall 006; Ramesh Nallapati; Christopher D. Manning (EMNLP, 2009)

Risk analysis for intellectual property litigation. - Mihai Surdeanu; Ramesh Nallapati; George Gregory; Joshua Walker; Christopher D. Manning (ICAIL, 2011)

LeadLag LDA: Estimating Topic Specific Leads and Lags of Information Outlets. - Ramesh Nallapati; Xiaolin Shi; Daniel A. McFarland; Jure Leskovec; Daniel Jurafsky (ICWSM, 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 001; Masoud Mazloom; et al. (TRECVID, 2011)

TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents. - Ramesh Nallapati; Daniel A. McFarland; Christopher D. Manning (AISTATS, 2011)

Multi-instance Multi-label Learning for Relation Extraction. - Mihai Surdeanu; Julie Tibshirani; Ramesh Nallapati; Christopher D. Manning (EMNLP-CoNLL, 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; et al. (TRECVID, 2012)

Sparse conditional mixture model: late fusion with missing scores for multimedia event detection. - Ramesh Nallapati; Eric Yeh; Gregory K. Myers (Multimedia Content and Mobile Devices, 2013)

Joint question clustering and relevance prediction for open domain non-factoid question answering. - Snigdha Chaturvedi; Vittorio Castelli; Radu Florian; Ramesh Nallapati; Hema Raghavan (WWW, 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 002; AmirHossein Habibian; Dennis C. Koelma; Koen E. A. van de Sande; Arnold W. M. Smeulders; Cees G. M. Snoek (Mach. Vis. Appl., 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 002; AmirHossein Habibian; Dennis C. Koelma; Koen E. A. van de Sande; Arnold W. M. Smeulders (Fusion in Computer Vision, 2014)

Shallow Training is cheap but is it good enough? Experiments with Medical Fact Coding. - Ramesh Nallapati; Radu Florian (BioNLP@IJCNLP, 2015)

Pointing the Unknown Words. - Çaglar Gülçehre; Sungjin Ahn; Ramesh Nallapati; Bowen Zhou 002; Yoshua Bengio (ACL (1), 2016)

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond. - Ramesh Nallapati; Bowen Zhou 002; Cícero Nogueira dos Santos; Çaglar Gülçehre; Bing Xiang (CoNLL, 2016)

Sequence-to-Sequence RNNs for Text Summarization. - Ramesh Nallapati; Bing Xiang; Bowen Zhou 006 (CoRR, 2016)

Classify or Select: Neural Architectures for Extractive Document Summarization. - Ramesh Nallapati; Bowen Zhou 006; Mingbo Ma (CoRR, 2016)

SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents. - Ramesh Nallapati; Feifei Zhai; Bowen Zhou (AAAI, 2017)

SenGen: Sentence Generating Neural Variational Topic Model. - Ramesh Nallapati; Igor Melnyk; Abhishek Kumar; Bowen Zhou (CoRR, 2017)

Coherence-Aware Neural Topic Modeling. - Ran Ding; Ramesh Nallapati; Bing Xiang (EMNLP, 2018)

Domain Adaptation with BERT-based Domain Classification and Data Selection. - Xiaofei Ma 001; Peng Xu; Zhiguo Wang; Ramesh Nallapati; Bing Xiang (DeepLo@EMNLP-IJCNLP, 2019)

Topic Modeling with Wasserstein Autoencoders. - Feng Nan; Ran Ding; Ramesh Nallapati; Bing Xiang (ACL (1), 2019)

OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations. - Pramuditha Perera; Ramesh Nallapati; Bing Xiang (CVPR, 2019)

Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering. - Zhiguo Wang; Patrick Ng; Xiaofei Ma 001; Ramesh Nallapati; Bing Xiang (EMNLP/IJCNLP (1), 2019)

Multi Sense Embeddings from Topic Models. - Shobhit Jain; Sravan Babu Bodapati; Ramesh Nallapati; Anima Anandkumar (ICNLSP, 2019)

Passage Ranking with Weak Supervsion. - Peng Xu; Xiaofei Ma 001; Ramesh Nallapati; Bing Xiang (CoRR, 2019)

Universal Text Representation from BERT: An Empirical Study. - Xiaofei Ma 001; Zhiguo Wang; Patrick Ng; Ramesh Nallapati; Bing Xiang (CoRR, 2019)

Who Did They Respond to? Conversation Structure Modeling Using Masked Hierarchical Transformer. - Henghui Zhu; Feng Nan; Zhiguo Wang; Ramesh Nallapati; Bing Xiang (AAAI, 2020)

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering. - Alexander R. Fabbri; Patrick Ng; Zhiguo Wang; Ramesh Nallapati; Bing Xiang (ACL, 2020)

Beyond [CLS] through Ranking by Generation. - Cícero Nogueira dos Santos; Xiaofei Ma 001; Ramesh Nallapati; Zhiheng Huang; Bing Xiang (EMNLP (1), 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 (EMNLP (1), 2020)

H2KGAT: Hierarchical Hyperbolic Knowledge Graph Attention Network. - Shen Wang 005; Xiaokai Wei; Cícero Nogueira dos Santos; Zhiguo Wang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang; Philip S. Yu (EMNLP (1), 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 (EMNLP (Findings), 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; et al. (SIGMOD Conference, 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)

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)

Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction. - Yifan Gao 001; Henghui Zhu; Patrick Ng; Cícero Nogueira dos Santos; Zhiguo Wang; Feng Nan; Dejiao Zhang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (ACL/IJCNLP (1), 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 (ACL/IJCNLP (1), 2021)

Knowledge Graph Representation via Hierarchical Hyperbolic Neural Graph Embedding. - Shen Wang 005; Xiaokai Wei; Cícero Nogueira dos Santos; Zhiguo Wang; Ramesh Nallapati; Andrew O. Arnold; Philip S. Yu (IEEE BigData, 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 (EACL, 2021)

Retrieval, Re-ranking and Multi-task Learning for Knowledge-Base Question Answering. - Zhiguo Wang; Patrick Ng; Ramesh Nallapati; Bing Xiang (EACL, 2021)

Pairwise Supervised Contrastive Learning of Sentence Representations. - Dejiao Zhang; Shang-Wen Li 001; Wei Xiao 001; Henghui Zhu; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (EMNLP (1), 2021)

Supporting Clustering with Contrastive Learning. - Dejiao Zhang; Feng Nan; Xiaokai Wei; Shang-Wen Li 001; Henghui Zhu; Kathleen R. McKeown; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang (NAACL-HLT, 2021)

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion. - Shen Wang 005; Xiaokai Wei; Cícero Nogueira dos Santos; Zhiguo Wang; Ramesh Nallapati; Andrew O. Arnold; Bing Xiang; Philip S. Yu; Isabel F. Cruz (WWW, 2021)

Transductive Learning for Abstractive News Summarization. - Arthur Brazinskas; Mengwen Liu; Ramesh Nallapati; Sujith Ravi; Markus Dreyer (CoRR, 2021)

DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization. - Zheng Li; Zijian Wang 002; Ming Tan; Ramesh Nallapati; Parminder Bhatia; Andrew O. Arnold; Bing Xiang; Dan Roth 001 (ACL (2), 2022)

Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding. - Jun Wang 122; Patrick Ng; Alexander Hanbo Li; Jiarong Jiang; Zhiguo Wang; Bing Xiang; Ramesh Nallapati; Sudipta Sengupta (EMNLP (Industry Track), 2022)

Efficient Few-Shot Fine-Tuning for Opinion Summarization. - Arthur Brazinskas; Ramesh Nallapati; Mohit Bansal; Markus Dreyer (NAACL-HLT (Findings), 2022)

ContraGen: Effective Contrastive Learning For Causal Language Model. - Nihal Jain; Dejiao Zhang; Wasi Uddin Ahmad; Zijian Wang 002; Feng Nan; Xiaopeng Li 002; Ming Tan; Ramesh Nallapati; Baishakhi Ray; Parminder Bhatia; Xiaofei Ma 001; Bing Xiang (CoRR, 2022)

Multi-lingual Evaluation of Code Generation Models. - Ben Athiwaratkun; Sanjay Krishna Gouda; Zijian Wang 002; Xiaopeng Li 002; Yuchen Tian; Ming Tan; Wasi Uddin Ahmad; Shiqi Wang 002; Qing Sun; Mingyue Shang; Sujan Kumar Gonugondla; Hantian Ding; et al. (CoRR, 2022)

ReCode: Robustness Evaluation of Code Generation Models. - Shiqi Wang 002; Zheng Li; Haifeng Qian; Chenghao Yang 001; Zijian Wang 002; Mingyue Shang; Varun Kumar; Samson Tan; Baishakhi Ray; Parminder Bhatia; Ramesh Nallapati; Murali Krishna Ramanathan; et al. (ACL (1), 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 001 (ACL (1), 2023)

ContraCLM: Contrastive Learning For Causal Language Model. - Nihal Jain; Dejiao Zhang; Wasi Uddin Ahmad; Zijian Wang 002; Feng Nan; Xiaopeng Li 002; Ming Tan; Ramesh Nallapati; Baishakhi Ray; Parminder Bhatia; Xiaofei Ma 001; Bing Xiang (ACL (1), 2023)

Exploring Continual Learning for Code Generation Models. - Prateek Yadav; Qing Sun; Hantian Ding; Xiaopeng Li 002; Dejiao Zhang; Ming Tan; Parminder Bhatia; Xiaofei Ma 001; Ramesh Nallapati; Murali Krishna Ramanathan; Mohit Bansal; Bing Xiang (ACL (2), 2023)

Multi-lingual Evaluation of Code Generation Models. - Ben Athiwaratkun; Sanjay Krishna Gouda; Zijian Wang 002; Xiaopeng Li 002; Yuchen Tian; Ming Tan; Wasi Uddin Ahmad; Shiqi Wang 002; Qing Sun; Mingyue Shang; Sujan Kumar Gonugondla; Hantian Ding; et al. (ICLR, 2023)

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion. - Yangruibo Ding; Zijian Wang 002; Wasi Uddin Ahmad; Hantian Ding; Ming Tan; Nihal Jain; Murali Krishna Ramanathan; Ramesh Nallapati; Parminder Bhatia; Dan Roth 001; Bing Xiang (NeurIPS, 2023)

Token Alignment via Character Matching for Subword Completion. - Ben Athiwaratkun; Shiqi Wang 002; Mingyue Shang; Yuchen Tian; Zijian Wang 002; Sujan Kumar Gonugondla; Sanjay Krishna Gouda; Robert Kwiatkowski; Ramesh Nallapati; Parminder Bhatia; Bing Xiang (ACL (Findings), 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 001; Anoop Deoras (ACL (Findings), 2024)

CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. - Yangruibo Ding; Zijian Wang 002; Wasi Uddin Ahmad; Murali Krishna Ramanathan; Ramesh Nallapati; Parminder Bhatia; Dan Roth 001; Bing Xiang (LREC/COLING, 2024)

Code Representation Learning at Scale. - Dejiao Zhang; Wasi Uddin Ahmad; Ming Tan; Hantian Ding; Ramesh Nallapati; Dan Roth 001; Xiaofei Ma 001; Bing Xiang (ICLR, 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 022; Jiacheng Guo; Liangfu Chen; Parminder Bhatia; Ramesh Nallapati; Sudipta Sengupta; et al. (ICML, 2024)

Token Alignment via Character Matching for Subword Completion. - Ben Athiwaratkun; Shiqi Wang 002; Mingyue Shang; Yuchen Tian; Zijian Wang 002; Sujan Kumar Gonugondla; Sanjay Krishna Gouda; Rob Kwiatkowski; Ramesh Nallapati; Bing Xiang (CoRR, 2024)