| 2026 | EACL | Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis. | Disha Makhija, Manoj Ghuhan Arivazhagan, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah |
| 2025 | EMNLP | FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance. | Mintong Kang, Vinayshekhar Bannihatti Kumar, Shamik Roy, Abhishek Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah |
| 2025 | ICLR | Searching for Optimal Solutions with LLMs via Bayesian Optimization. | Dhruv Agarwal, Manoj Ghuhan Arivazhagan, Rajarshi Das, Sandesh Swamy, Sopan Khosla, Rashmi Gangadharaiah |
| 2025 | NAACL | Constrained Decoding with Speculative Lookaheads. | Nishanth Sridhar Nakshatri, Shamik Roy, Rajarshi Das, Suthee Chaidaroon, Leonid Boytsov, Rashmi Gangadharaiah |
| 2024 | CIDR | Panda: Performance Debugging for Databases using LLM Agents. | Vikramank Y. Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska |
| 2024 | KDD | First Workshop on Generative AI for Recommender Systems and Personalization. | Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis |
| 2024 | NAACL | Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. | Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah |
| 2023 | EACL | Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. | Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah |
| 2023 | IJCNLP | PhraseSumm: Abstractive Short Phrase Summarization. | Kasturi Bhattacharjee, Kathleen R. McKeown, Rashmi Gangadharaiah |
| 2023 | IJCNLP | GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering. | Ritam Dutt, Sopan Khosla, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah |
| 2023 | IJCNLP | Privacy Adhering Machine Un-learning in NLP. | Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth |
| 2022 | IJCNLP | Benchmarking the Covariate Shift Robustness of Open-world Intent Classification Approaches. | Sopan Khosla, Rashmi Gangadharaiah |
| 2022 | NAACL | What Do Users Care About? Detecting Actionable Insights from User Feedback. | Kasturi Bhattacharjee, Rashmi Gangadharaiah, Kathleen R. McKeown, Dan Roth |
| 2022 | NAACL | PerKGQA: Question Answering over Personalized Knowledge Graphs. | Ritam Dutt, Kasturi Bhattacharjee, Rashmi Gangadharaiah, Dan Roth, Carolyn P. Ros |
| 2020 | ACL | Recursive Template-based Frame Generation for Task Oriented Dialog. | Rashmi Gangadharaiah, Balakrishnan Narayanaswamy |
| 2019 | NAACL | Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog. | Rashmi Gangadharaiah, Balakrishnan Narayanaswamy |
| 2018 | NAACL | What we need to learn if we want to do and not just talk. | Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan |
| 2016 | ICDM | Using Machine Learning to Accelerate Data Wrangling. | Shilpi Ahuja, Mary Roth, Rashmi Gangadharaiah, Peter M. Schwarz, Rafael Bastidas |
| 2014 | ICPR | Unsupervised Focus Group Identification from Online Product Reviews. | Sneha Chaudhari, Rashmi Gangadharaiah, Balakrishnan Narayanaswamy |
| 2014 | SIGdial | Learning to Re-rank for Interactive Problem Resolution and Query Refinement. | Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan |
| 2013 | IJCNLP | Semi-Supervised Answer Extraction from Discussion Forums. | Rose Catherine, Rashmi Gangadharaiah, Karthik Visweswariah, Dinesh Raghu |
| 2013 | IJCNLP | Hypothesis Refinement Using Agreement Constraints in Machine Translation. | Ankur Gandhe, Rashmi Gangadharaiah |
| 2013 | IJCNLP | Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data. | Rashmi Gangadharaiah, Balakrishnan Narayanaswamy |
| 2012 | CIKM | PriSM: discovering and prioritizing severe technical issues from product discussion forums. | Rashmi Gangadharaiah, Rose Catherine |
| 2012 | COLING | Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums. | Rose Catherine, Amit Singh, Rashmi Gangadharaiah, Dinesh Raghu, Karthik Visweswariah |
| 2011 | CICLING | Phrasal Equivalence Classes for Generalized Corpus-Based Machine Translation. | Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell |
| 2011 | IJCNLP | Handling verb phrase morphology in highly inflected Indian languages for Machine Translation. | Ankur Gandhe, Rashmi Gangadharaiah, Karthik Visweswariah, Ananthakrishnan Ramanathan |
| 2011 | IJCNLP | Reducing Asymmetry between language-pairs to Improve Alignment and Translation Quality. | Rashmi Gangadharaiah |
| 2010 | COLING | Monolingual Distributional Profiles for Word Substitution in Machine Translation. | Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell |
| 2010 | EAMT | Automatic Determination of Number of clusters for creating Templates in Example-Based Machine Translation. | Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell |
| 2006 | Interspeech | Voting for two speaker segmentation. | Narayanaswamy Balakrishnan, Rashmi Gangadharaiah, Richard M. Stern |
| 2006 | NAACL | Spectral Clustering for Example Based Machine Translation. | Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell |
| 2005 | ICASSP | Extracting Additional Information from Gaussian Mixture Model Probabilities for Improved Text-Independent Speaker Identification. | Balakrishnan Narayanaswamy, Rashmi Gangadharaiah |
| 2004 | Interspeech | A novel method for two-speaker segmentation. | Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Narayanaswamy Balakrishnan |