| 2026 | ACL | Robust In-Context Selection via Online Learned Position-Corrected Attention. | Deeksha Koul, Gaurav Kumar, Yash Sabale, Sunita Sarawagi |
| 2025 | AAAI | Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class. | Annie D'souza, Swetha M, Sunita Sarawagi |
| 2025 | CIKM | TFMAdapter: Lightweight Instance-Level Adaptation of Foundation Models for Forecasting with Covariates. | Afrin Dange, Sunita Sarawagi |
| 2025 | EMNLP | RECAST: Retrieval-Augmented Contextual ASR via Decoder-State Keyword Spotting. | Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi |
| 2025 | ICDM | Retrieval and Augmentation of Domain Knowledge for Text-to-SQL Semantic Parsing. | Manasi Patwardhan, Ayush Agarwal, Shabbirhussain Bhaisaheb, Aseem Arora, Lovekesh Vig, Sunita Sarawagi |
| 2025 | ICLR | From Search to Sampling: Generative Models for Robust Algorithmic Recourse. | Prateek Garg, Lokesh Nagalapatti, Sunita Sarawagi |
| 2025 | ICLR | Robust Root Cause Diagnosis using In-Distribution Interventions. | Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma |
| 2025 | ICML | The Missing Alignment Link of In-context Learning on Sequences. | Harshvardhan Agarwal, Sunita Sarawagi |
| 2025 | Interspeech | Skip-Salsa: Skip Synchronous Fusion of ASR LLM Decoders. | Ashish R. Mittal, Darshan Prabhu, Sunita Sarawagi, Preethi Jyothi |
| 2025 | NAACL | Diverse In-Context Example Selection After Decomposing Programs and Aligned Utterances Improves Semantic Parsing. | Mayank Kothyari, Sunita Sarawagi, Soumen Chakrabarti, Gaurav Arora, Srujana Merugu |
| 2024 | AAAI | Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing. | Lokesh Nagalapatti, Akshay Iyer, Abir De, Sunita Sarawagi |
| 2024 | ACL | Efficient Training of Language Models with Compact and Consistent Next Token Distributions. | Ashutosh Sathe, Sunita Sarawagi |
| 2024 | ICML | PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect. | Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh, Sunita Sarawagi |
| 2024 | Interspeech | SALSA: Speedy ASR-LLM Synchronous Aggregation. | Ashish R. Mittal, Darshan Prabhu, Sunita Sarawagi, Preethi Jyothi |
| 2023 | AAAI | Structured Case-Based Reasoning for Inference-Time Adaptation of Text-to-SQL Parsers. | Abhijeet Awasthi, Soumen Chakrabarti, Sunita Sarawagi |
| 2023 | EACL | Bootstrapping Multilingual Semantic Parsers using Large Language Models. | Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar |
| 2023 | EMNLP | Benchmarking and Improving Text-to-SQL Generation under Ambiguity. | Adithya Bhaskar, Tushar Tomar, Ashutosh Sathe, Sunita Sarawagi |
| 2023 | EMNLP | CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL. | Mayank Kothyari, Dhruva Dhingra, Sunita Sarawagi, Soumen Chakrabarti |
| 2023 | EMNLP | Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries. | Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi, George Saon, Gakuto Kurata |
| 2023 | HiPC | Modern AI for Analyzing Large Structured Databases: Opportunities and Challenges. | Sunita Sarawagi |
| 2023 | ICLR | In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations. | Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi |
| 2023 | ICML | Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models. | Harshit Varma, Abhijeet Awasthi, Sunita Sarawagi |
| 2023 | Interspeech | Improving RNN-Transducers with Acoustic LookAhead. | Vinit S. Unni, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi |
| 2022 | ACL | Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding. | Soumya Chatterjee, Sunita Sarawagi, Preethi Jyothi |
| 2022 | ACL | Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. | Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi |
| 2022 | EMNLP | Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers. | Abhijeet Awasthi, Ashutosh Sathe, Sunita Sarawagi |
| 2022 | EMNLP | Quality Scoring of Source Words in Neural Translation Models. | Priyesh Jain, Sunita Sarawagi, Tushar Tomar |
| 2022 | EMNLP | Adapting Multilingual Models for Code-Mixed Translation. | Aditya Vavre, Abhirut Gupta, Sunita Sarawagi |
| 2022 | ICASSP | Adaptive Discounting of Implicit Language Models in RNN-Transducers. | Vinit Unni, Shreya Khare, Ashish R. Mittal, Preethi Jyothi, Sunita Sarawagi, Samarth Bharadwaj |
| 2022 | ICLR | Focus on the Common Good: Group Distributional Robustness Follows. | Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi |
| 2022 | IJCAI | Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts. | Prathamesh Deshpande, Sunita Sarawagi |
| 2021 | ACL | Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. | Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha P. Talukdar, Sunita Sarawagi |
| 2021 | ICASSP | Error-Driven Fixed-Budget ASR Personalization for Accented Speakers. | Abhijeet Awasthi, Aman Kansal, Sunita Sarawagi, Preethi Jyothi |
| 2021 | Interspeech | Low Resource ASR: The Surprising Effectiveness of High Resource Transliteration. | Shreya Khare, Ashish R. Mittal, Anuj Diwan, Sunita Sarawagi, Preethi Jyothi, Samarth Bharadwaj |
| 2021 | NAACL | Training Data Augmentation for Code-Mixed Translation. | Abhirut Gupta, Aditya Vavre, Sunita Sarawagi |
| 2021 | WSDM | Long Horizon Forecasting with Temporal Point Processes. | Prathamesh Deshpande, Kamlesh Marathe, Abir De, Sunita Sarawagi |
| 2020 | AAAI | Robust Data Programming with Precision-guided Labeling Functions. | Oishik Chatterjee, Ganesh Ramakrishnan, Sunita Sarawagi |
| 2020 | EMNLP | NLP Service APIs and Models for Efficient Registration of New Clients. | Sahil Shah, Vihari Piratla, Soumen Chakrabarti, Sunita Sarawagi |
| 2020 | ICLR | Learning from Rules Generalizing Labeled Exemplars. | Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal, Sunita Sarawagi |
| 2020 | ICML | Efficient Domain Generalization via Common-Specific Low-Rank Decomposition. | Vihari Piratla, Praneeth Netrapalli, Sunita Sarawagi |
| 2020 | Interspeech | Black-Box Adaptation of ASR for Accented Speech. | Kartik Khandelwal, Preethi Jyothi, Abhijeet Awasthi, Sunita Sarawagi |
| 2019 | ACL | Topic Sensitive Attention on Generic Corpora Corrects Sense Bias in Pretrained Embeddings. | Vihari Piratla, Sunita Sarawagi, Soumen Chakrabarti |
| 2019 | COMAD | Continual Learning with Neural Networks: A Review. | Abhijeet Awasthi, Sunita Sarawagi |
| 2019 | EMNLP | Parallel Iterative Edit Models for Local Sequence Transduction. | Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, Sabyasachi Ghosh, Vihari Piratla |
| 2019 | ICLR | Posterior Attention Models for Sequence to Sequence Learning. | Shiv Shankar, Sunita Sarawagi |
| 2019 | KDD | Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units. | Prathamesh Deshpande, Sunita Sarawagi |
| 2018 | AAAI | Labeled Memory Networks for Online Model Adaptation. | Shiv Shankar, Sunita Sarawagi |
| 2018 | EMNLP | Surprisingly Easy Hard-Attention for Sequence to Sequence Learning. | Shiv Shankar, Siddhant Garg, Sunita Sarawagi |
| 2018 | ICLR | Generalizing Across Domains via Cross-Gradient Training. | Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi |
| 2018 | ICML | Trainable Calibration Measures For Neural Networks From Kernel Mean Embeddings. | Aviral Kumar, Sunita Sarawagi, Ujjwal Jain |
| 2016 | AAAI | Numerical Relation Extraction with Minimal Supervision. | Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi |
| 2016 | EMNLP | Length bias in Encoder Decoder Models and a Case for Global Conditioning. | Pavel Sountsov, Sunita Sarawagi |
| 2016 | KDD | Privacy-preserving Class Ratio Estimation. | Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi |
| 2016 | WWW | Discovering Structure in the Universe of Attribute Names. | Alon Y. Halevy, Natalya Fridman Noy, Sunita Sarawagi, Steven Euijong Whang, Xiao Yu |
| 2015 | SIGMOD | Mining Subjective Properties on the Web. | Immanuel Trummer, Alon Y. Halevy, Hongrae Lee, Sunita Sarawagi, Rahul Gupta |
| 2014 | ICML | Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection. | Arun Shankar Iyer, J. Saketha Nath, Sunita Sarawagi |
| 2014 | KDD | Open-domain quantity queries on web tables: annotation, response, and consensus models. | Sunita Sarawagi, Soumen Chakrabarti |
| 2014 | WSDM | A few good predictions: selective node labeling in a social network. | Gaurish Chaudhari, Vashist Avadhanula, Sunita Sarawagi |
| 2012 | ICDM | Active Evaluation of Classifiers on Large Datasets. | Namit Katariya, Arun Shankar Iyer, Sunita Sarawagi |
| 2011 | WSDM | Joint training for open-domain extraction on the web: exploiting overlap when supervision is limited. | Rahul Gupta, Sunita Sarawagi |
| 2009 | COMAD | Querying for relations from the semi-structured Web. | Sunita Sarawagi |
| 2009 | EDBT | Efficient top-k count queries over imprecise duplicates. | Sunita Sarawagi, Vinay S. Deshpande, Sourabh Kasliwal |
| 2008 | ICML | Accurate max-margin training for structured output spaces. | Sunita Sarawagi, Rahul Gupta |
| 2007 | ICML | Efficient inference with cardinality-based clique potentials. | Rahul Gupta, Ajit A. Diwan, Sunita Sarawagi |
| 2007 | VLDB | Probabilistic Graphical Models and their Role in Databases. | Amol Deshpande, Sunita Sarawagi |
| 2006 | COMAD | Scalable Information Extraction and Integration. | Sunita Sarawagi |
| 2006 | ICDE | Efficient Batch Top-k Search for Dictionary-based Entity Recognition. | Amit Chandel, P. C. Nagesh, Sunita Sarawagi |
| 2006 | ICDE | Integrating Unstructured Data into Relational Databases. | Imran R. Mansuri, Sunita Sarawagi |
| 2006 | ICML | Efficient inference on sequence segmentation models. | Sunita Sarawagi |
| 2006 | SIGMOD | Record linkage: similarity measures and algorithms. | Nick Koudas, Sunita Sarawagi, Divesh Srivastava |
| 2006 | VLDB | Creating Probabilistic Databases from Information Extraction Models. | Rahul Gupta, Sunita Sarawagi |
| 2005 | COMAD | Learning to extract information from large websites using sequential models. | V. G. Vinod Vydiswaran, Sunita Sarawagi |
| 2005 | ICDM | Text Classification with Evolving Label-Sets. | Shantanu Godbole, Ganesh Ramakrishnan, Sunita Sarawagi |
| 2004 | KDD | Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods. | William W. Cohen, Sunita Sarawagi |
| 2004 | PAKDD | Discriminative Methods for Multi-labeled Classification. | Shantanu Godbole, Sunita Sarawagi |
| 2004 | SIGMOD | Efficient set joins on similarity predicates. | Sunita Sarawagi, Alok Kirpal |
| 2003 | ICDE | Sequence Data Mining Techniques and Applications. | Sunita Sarawagi |
| 2003 | ICDE | Scaling up the ALIAS Duplicate Elimination System. | Sunita Sarawagi, Alok Kirpal |
| 2003 | KDD | Cross-training: learning probabilistic mappings between topics. | Sunita Sarawagi, Soumen Chakrabarti, Shantanu Godbole |
| 2003 | SIGMOD | Factorizing Complex Predicates in Queries to Exploit Indexes. | Surajit Chaudhuri, Prasanna Ganesan, Sunita Sarawagi |
| 2002 | ICDE | Efficient Evaluation of Queries with Mining Predicates. | Surajit Chaudhuri, Vivek R. Narasayya, Sunita Sarawagi |
| 2002 | KDD | Scaling multi-class support vector machines using inter-class confusion. | Shantanu Godbole, Sunita Sarawagi, Soumen Chakrabarti |
| 2002 | KDD | Interactive deduplication using active learning. | Sunita Sarawagi, Anuradha Bhamidipaty |
| 2002 | VLDB | Automation in Information Extraction and Data Integration. | Sunita Sarawagi |
| 2002 | VLDB | ALIAS: An Active Learning led Interactive Deduplication System. | Sunita Sarawagi, Anuradha Bhamidipaty, Alok Kirpal, Chandra Mouli |
| 2001 | SIGMOD | Automatic Segmentation of Text into Structured Records. | Vinayak R. Borkar, Kaustubh Deshmukh, Sunita Sarawagi |
| 2001 | VLDB | Intelligent Rollups in Multidimensional OLAP Data. | Gayatri Sathe, Sunita Sarawagi |
| 2000 | SIGMOD | i | Sunita Sarawagi, Gayatri Sathe |
| 2000 | VLDB | User-Adaptive Exploration of Multidimensional Data. | Sunita Sarawagi |
| 1999 | VLDB | Explaining Differences in Multidimensional Aggregates. | Sunita Sarawagi |
| 1998 | EDBT | Discovery-Driven Exploration of OLAP Data Cubes. | Sunita Sarawagi, Rakesh Agrawal, Nimrod Megiddo |
| 1998 | KDD | Mining Generalized Association Rules and Sequential Patterns Using SQL Queries. | Shiby Thomas, Sunita Sarawagi |
| 1998 | SIGMOD | Integrating Mining with Relational Database Systems: Alternatives and Implications. | Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal |
| 1998 | VLDB | Mining Surprising Patterns Using Temporal Description Length. | Soumen Chakrabarti, Sunita Sarawagi, Byron Dom |
| 1997 | ICDE | Modeling Multidimensional Databases. | Rakesh Agrawal, Ashish Gupta, Sunita Sarawagi |
| 1996 | VLDB | On the Computation of Multidimensional Aggregates. | Sameet Agarwal, Rakesh Agrawal, Prasad Deshpande, Ashish Gupta, Jeffrey F. Naughton, Raghu Ramakrishnan, Sunita Sarawagi |
| 1996 | VLDB | Reordering Query Execution in Tertiary Memory Databases. | Sunita Sarawagi, Michael Stonebraker |
| 1995 | VLDB | Query Processing in Tertiary Memory Databases. | Sunita Sarawagi |
| 1994 | ICDE | Efficient Organization of Large Multidimensional Arrays. | Sunita Sarawagi, Michael Stonebraker |