A novel method for two-speaker segmentation. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy; Narayanaswamy Balakrishnan (INTERSPEECH, 2004)

Extracting Additional Information from Gaussian Mixture Model Probabilities for Improved Text-Independent Speaker Identification. - Balakrishnan Narayanaswamy; Rashmi Gangadharaiah (ICASSP (1), 2005)

Voting for two speaker segmentation. - Narayanaswamy Balakrishnan; Rashmi Gangadharaiah; Richard M. Stern (INTERSPEECH, 2006)

Spectral Clustering for Example Based Machine Translation. - Rashmi Gangadharaiah; Ralf D. Brown; Jaime G. Carbonell (HLT-NAACL, 2006)

Building a better Indian English voice using "more data". - Rohit Kumar 001; Rashmi Gangadharaiah; Sharath Rao; Kishore Prahallad; Carolyn P. Rosé; Alan W. Black (SSW, 2007)

Active Learning in Example-Based Machine Translation. - Rashmi Gangadharaiah; Ralf D. Brown; Jaime G. Carbonell (NODALIDA, 2009)

Monolingual Distributional Profiles for Word Substitution in Machine Translation. - Rashmi Gangadharaiah; Ralf D. Brown; Jaime G. Carbonell (COLING (Posters), 2010)

Automatic Determination of Number of clusters for creating Templates in Example-Based Machine Translation. - Rashmi Gangadharaiah; Ralf D. Brown; Jaime G. Carbonell (EAMT, 2010)

Phrasal Equivalence Classes for Generalized Corpus-Based Machine Translation. - Rashmi Gangadharaiah; Ralf D. Brown; Jaime G. Carbonell (CICLing (2), 2011)

Handling verb phrase morphology in highly inflected Indian languages for Machine Translation. - Ankur Gandhe; Rashmi Gangadharaiah; Karthik Visweswariah; Ananthakrishnan Ramanathan (IJCNLP, 2011)

Reducing Asymmetry between language-pairs to Improve Alignment and Translation Quality. - Rashmi Gangadharaiah (IJCNLP, 2011)

PriSM: discovering and prioritizing severe technical issues from product discussion forums. - Rashmi Gangadharaiah; Rose Catherine (CIKM, 2012)

Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums. - Rose Catherine; Amit Singh 003; Rashmi Gangadharaiah; Dinesh Raghu; Karthik Visweswariah (COLING (Posters), 2012)

Semi-Supervised Answer Extraction from Discussion Forums. - Rose Catherine; Rashmi Gangadharaiah; Karthik Visweswariah; Dinesh Raghu (IJCNLP, 2013)

Hypothesis Refinement Using Agreement Constraints in Machine Translation. - Ankur Gandhe; Rashmi Gangadharaiah (IJCNLP, 2013)

Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy (IJCNLP, 2013)

Unsupervised Focus Group Identification from Online Product Reviews. - Sneha Chaudhari; Rashmi Gangadharaiah; Balakrishnan Narayanaswamy (ICPR, 2014)

Learning to Re-rank for Interactive Problem Resolution and Query Refinement. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy; Charles Elkan (SIGDIAL Conference, 2014)

Using Machine Learning to Accelerate Data Wrangling. - Shilpi Ahuja; Mary Roth; Rashmi Gangadharaiah; Peter M. Schwarz; Rafael Bastidas (ICDM Workshops, 2016)

What we need to learn if we want to do and not just talk. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy; Charles Elkan (NAACL-HLT (3), 2018)

Achieving Fluency and Coherency in Task-oriented Dialog. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy; Charles Elkan (CoRR, 2018)

Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy (NAACL-HLT (1), 2019)

An open access medical knowledge base for community driven diagnostic decision support system development. - Lars Müller 001; Rashmi Gangadharaiah; Simone C. Klein; James Perry; Greg Bernstein; David Nurkse; Dustin Wailes; Rishi Graham; Robert E. El-Kareh; Sanjay Mehta; Staal Amund Vinterbo; Eliah Aronoff Spencer (BMC Medical Informatics Decis. Mak., 2019)

Recursive Template-based Frame Generation for Task Oriented Dialog. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy (ACL, 2020)

Domain and Task-Informed Sample Selection for Cross-Domain Target-based Sentiment Analysis. - Kasturi Bhattacharjee; Rashmi Gangadharaiah; Smaranda Muresan (ICNLSP, 2021)

Evaluating the Practical Utility of Confidence-score based Techniques for Unsupervised Open-world Classification. - Sopan Khosla; Rashmi Gangadharaiah (Insights@ACL, 2022)

Towards Cross-Domain Transferability of Text Generation Models for Legal Text. - Vinayshekhar Bannihatti Kumar; Kasturi Bhattacharjee; Rashmi Gangadharaiah (NLLP@EMNLP, 2022)

Benchmarking the Covariate Shift Robustness of Open-world Intent Classification Approaches. - Sopan Khosla; Rashmi Gangadharaiah (AACL/IJCNLP (2), 2022)

What Do Users Care About? Detecting Actionable Insights from User Feedback. - Kasturi Bhattacharjee; Rashmi Gangadharaiah; Kathleen R. McKeown; Dan Roth 001 (NAACL-HLT (Industry Papers), 2022)

PerKGQA: Question Answering over Personalized Knowledge Graphs. - Ritam Dutt; Kasturi Bhattacharjee; Rashmi Gangadharaiah; Dan Roth 001; Carolyn P. Rosé (NAACL-HLT (Findings), 2022)

Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters. - Vinayshekhar Bannihatti Kumar; Rashmi Gangadharaiah; Dan Roth 001 (CoRR, 2022)

Zero-Shot Learning for Joint Intent and Slot Labeling. - Rashmi Gangadharaiah; Balakrishnan Narayanaswamy (CoRR, 2022)

Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. - Sandesh Swamy; Narges Tabari; Chacha Chen; Rashmi Gangadharaiah (EACL, 2023)

PhraseSumm: Abstractive Short Phrase Summarization. - Kasturi Bhattacharjee; Kathleen R. McKeown; Rashmi Gangadharaiah (IJCNLP (Findings), 2023)

GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering. - Ritam Dutt; Sopan Khosla; Vinayshekhar Bannihatti Kumar; Rashmi Gangadharaiah (IJCNLP (1), 2023)

Privacy Adhering Machine Un-learning in NLP. - Vinayshekhar Bannihatti Kumar; Rashmi Gangadharaiah; Dan Roth 001 (IJCNLP (Findings), 2023)

Document-Level Supervision for Multi-Aspect Sentiment Analysis Without Fine-grained Labels. - Kasturi Bhattacharjee; Rashmi Gangadharaiah (CoRR, 2023)

User Persona Identification and New Service Adaptation Recommendation. - Narges Tabari; Sandesh Swamy; Rashmi Gangadharaiah (CoRR, 2023)

Panda: Performance Debugging for Databases using LLM Agents. - Vikramank Y. Singh; Kapil Vaidya; Vinayshekhar Bannihatti Kumar; Sopan Khosla; Balakrishnan Narayanaswamy; Rashmi Gangadharaiah; Tim Kraska (CIDR, 2024)

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 (KDD, 2024)

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. - Dhruv Agarwal 003; Rajarshi Das; Sopan Khosla; Rashmi Gangadharaiah (NAACL-HLT (Findings), 2024)

Searching for Optimal Solutions with LLMs via Bayesian Optimization. - Dhruv Agarwal 003; Manoj Ghuhan Arivazhagan; Rajarshi Das; Sandesh Swamy; Sopan Khosla; Rashmi Gangadharaiah (ICLR, 2025)

Constrained Decoding with Speculative Lookaheads. - Nishanth Sridhar Nakshatri; Shamik Roy; Rajarshi Das; Suthee Chaidaroon; Leonid Boytsov; Rashmi Gangadharaiah (NAACL (Long Papers), 2025)

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 (CoRR, 2025)