Dialog Systems/Interaction Engines/Conversational AI:
Dhruv Agarwal, Manoj Ghuhan, Rajarshi (Raj) Das, Sandesh Swamy, Sopan Khosla, Rashmi Gangadharaiah, "Searching for optimal solutions with LLMs via bayesian optimization", ICLR 2025.
Nishanth Sridhar Nakshatri, Shamik Roy, Rajarshi (Raj) Das, Un Ch, Leo Boytsov, Rashmi Gangadharaiah, "Constrained decoding with speculative lookaheads", NAACL 2025.
Dhruv Agarwal, Rajarshi (Raj) Das, Sopan Khosla, Rashmi Gangadharaiah, "Bring your own KG: Self-supervised program synthesis for zero-shot KGQA", NAACL 2024.
Vikramank Singh, Kapil Eknath Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Murali Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska, "Panda: Performance debugging for databases using LLM agents", CIDR 2024.
Kasturi Bhattacharjee, Kathleen McKeown, Rashmi Gangadharaiah, "PhraseSumm: Abstractive short phrase summarization", IJCNLP-AACL 2023.
Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth, "Privacy adhering machine un-learning in NLP", IJCNLP-AACL 2023.
Ritam Dutt, Sopan Khosla, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, "Designing harder benchmarks for evaluating zero-shot generalizability in question answering over knowledge bases", ACL 2023 Workshop on Natural Language Reasoning and Structured Explanations.
Sopan Khosla, Ritam Dutt, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, "Exploring the reasons for non-generalizability of KBQA systems", EACL 2023.
Vinayshekhar Bannihatti Kumar, Kasturi Bhattacharjee, Rashmi Gangadharaiah, "Towards cross-domain transferability of text generation models for legal text", EMNLP 2022 Workshop on Natural Legal Language Processing
Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, "Are abstractive summarization models truly ‘abstractive’? An empirical study to compare the two forms of summarization", EMNLP 2022 Workshop on Generation, Evaluation & Metrics (GEM)
Sopan Khosla, Rashmi Gangadharaiah, "Benchmarking the covariate shift robustness of open-world intent classification approaches", AACL 2022.
Ritam Dutt, Kasturi Bhattacharjee, Rashmi Gangadharaiah, Dan Roth, Carolyn Penstein Rosé, "PerKGQA: Question answering over personalized knowledge graphs", NAACL 2022, ACL 2022 Workshop on Semiparametric Methods in NLP: Decoupling Logic from Knowledge.
Kasturi Bhattacharjee, Rashmi Gangadharaiah, Kathleen McKeown, Dan Roth, "What do users care about? Detecting actionable insights from user feedback", NAACL 2022
Sopan Khosla, Rashmi Gangadharaiah, "Evaluating the practical utility of confidence-score based techniques for unsupervised open-world intent classification", ACL 2022 Workshop on Insights from Negative Results in NLP
Rashmi Gangadharaiah and Balakrishnan Narayanaswamy, "Recursive Template-based Frame Generation for Task Oriented Dialog", ACL 2020. Keywords: Dialog, Chatbots, Conversational AI, Semantic Parsing.
Rashmi Gangadharaiah, Chaitanya Shivade, Parminder Bhatia, Yi Zhang and Taha Kass-Hout, "Why Conversational AI won't replace Healthcare Providers", CASforHealth workshop, CHI 2020. Keywords: Clinical Decision Making, Differential Diagnosis, Decision Support Systems, Dialog, Chatbots, Conversational AI.
Lars Muller, Rashmi Gangadharaiah, Simone C. Klien, James Perry, Greg Bernstein, David Nurkse, Dustin Wailes, Rishi Graham, Robert El-Kareh, Sanjay Mehta, Staal A. Vinterbo and Eliah Aronoff-Spencer, "An open access medical knowledge base for community driven diagnostic decision support system development", BMC Medical Informatics and Decision Making 2019. Keywords: Clinical Decision Making, Differential Diagnosis, Decision Support Systems.
Rashmi Gangadharaiah and Balakrishnan Narayanaswamy, "Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog", NAACL 2019. Keywords: Dialog, Chatbots, Conversational AI.
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy and Charles Elkan, "What we need to learn if we want to do and not just talk", NAACL 2018, Industry papers. Keywords: Dialog, Chatbots, ConversationalAI, Supervised Learning.
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy and Charles Elkan, "Achieving Fluency and Coherency in Task-Oriented Dailog", NIPS 2017, Conversation AI Workshop. Keywords: Dialog, Chatbots, Conversational AI, Supervised Learning.
Rashmi Gangadharaiah, Balakrishnan Narayanaswamy and Charles Elkan, "Learning to Re-rank for Interactive Problem-Resolution and Query Refinement", SigDial 2014. Keywords: Dialog, Information Retrieval, Interaction, Query Refinement.
Rashmi Gangadharaiah and Balakrishnan Narayanaswamy, "Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data", Japan, IJCNLP 2013. Keywords: Dialog, Information Retrieval, Interaction, Query Refinement.
Information Extraction/Information Retrieval/Data Mining:
Kasturi Bhattacharjee, Rashmi Gangadharaiah, Smaranda Muresan, "Sample selection guided by domain and task for cross-domain targeted sentiment analysis", EMNLP 2021: The Fifth Widening NLP Workshop (WiNLP).
Kasturi Bhattacharjee, Rashmi Gangadharaiah, Smaranda Muresan, "Domain and task-informed sample selection for cross-domain target-based sentiment analysis", ICNLSP 2021.
Shilpi Ahuja, Mar Roth, Rashmi Gangadharaiah and Peter Schwarz, "Using Machine Learning to Accelerate Data Wrangling", Spain, ICDM 2016.
Sneha Chaudhari, Rashmi Gangadharaiah and Balakrishnan Narayanaswamy, "Unsupervised Focus Group Identification from Online Product Reviews", ICPR 2014. Keywords: Focus Group Identification, Unsupervised Probabilistic Framework, Latent Topic Models.
Rose Catherine, Rashmi Gangadharaiah, Karthik Visweswariah and Dinesh Raghu, "Semi-Supervised Answer Extraction from Discussion Forums", Japan, IJCNLP 2013.
Rose Catherine, Amit Singh, Rashmi Gangadharaiah, Dinesh Raghu, Karthik Visweswariah, "Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums", COLING 2012, pp. 175-184.
Rashmi Gangadharaiah and Rose Catherine, "PriSM: Discovering and Prioritizing Severe Technical Issues from Product Discussion Forums, Hawaii, USA, CIKM 2012, pp. 1627-1631.
Machine Translation:
Ankur Gandhe and Rashmi Gangadharaiah, "Hypothesis Refinement Using Agreement Constraints in Machine Translation", Japan, IJCNLP 2013. Keywords: Machine Translation (MT), Phrase-based Statistical Machine Translation (PBSMT), morphology.
Ankur Gandhe, Rashmi Gangadharaiah, Karthik Visweswariah, Ananthakrishnan Ramanathan, "Handling verb phrase morphology in highly inflected Indian Languages for Machine Translation, Thailand, IJCNLP 2011, pp. 111-119. Keywords: Machine Translation (MT), Phrase-based Statistical Machine Translation (PBSMT), morphology.
Rashmi Gangadharaiah, "Reducing Asymmetry between language-pairs to Improve Alignment and Translation Quality", Thailand, IJCNLP 2011, pp 1346-1350. Keywords: Machine Translation (MT), Phrase-based Statistical Machine Translation (PBSMT)
Rashmi Gangadharaiah, Ralf Brown and Jaime Carbonell, "Phrasal Equivalence Classes for Generalized Corpus-based Machine Translation", Japan, CiCLING 2011. Keywords: Machine Translation (MT), Generalized-Example-based Machine Translation (G-EBMT).
Rashmi Gangadharaiah, Ralf Brown and Jaime Carbonell, "Monolingual Distributional Profiles for Word Substitution in Machine Translation", The 23rd International Conference on Computational Linguistics, (COLING2010), China, August 2010. Keywords: Out-of-Vocabulary (OOV) words, Rare words, Machine Translation (MT), Generalized-Example-based Machine Translation (G-EBMT).
Rashmi Gangadharaiah, Ralf Brown and Jaime Carbonell, "Automatic Determination of Number of clusters for creating Templates in Example-Based Machine Translation", 14th Annual Conference of the European Association for Machine Translation, (EAMT2010), France, May 2010. Keywords: Number of Clusters, Spectral Clustering, Templates, Machine Translation (MT), Generalized-Example-based Machine Translation (G-EBMT).
Rashmi Gangadharaiah, Ralf Brown and Jaime Carbonell, " Active Learning in Example-Based Machine Translation", The 17th Nordic Conference on Computational Linguistics,(NODALIDA09), Odense, Denmark, May 2009. Keywords: Active Learning, Pool-based, Machine Translation (MT), Example-based Machine Translation (EBMT).
Rashmi Gangadharaiah " Pattern Induction in Example-Based Machine Translation", Masters Thesis, Language Technologies Institute, CMU,May 2007
Rashmi Gangadharaiah, Ralf Brown and Jaime Carbonell, "Spectral Clustering for Example Based Machine Translation", HLT-NAACL06, New York, USA, 2006. Keywords: Bilingual Spectral Clustering, Machine Translation (MT), Generalized-Example-based Machine Translation (G-EBMT).
Rashmi Gangadharaiah and N. Balakrishnan,"Application of Linguistic Rules to Generalized Example Based Machine Translation for Indian Languages", Proc. of the First National Symposium on Modeling and Shallow Parsing of Indian Languages, (MSPIL), India, Mumbai, April 2006
Speech and Speaker Recognition Systems:
Rohit Kumar, Rashmi Gangadharaiah, Sharath Rao, Kishore Prahallad, Carolyn P Rose, Alan W. Black,"Building a better Indian English voice using more data",6th ISCA Speech Synthesis Workshop,Bonn, Germany, 2007
Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Richard Stern, "Voting for Two-Speaker Segmentation", Proc. of Intl. Conf. on Speech and Language, (ICSLP), Pittsburgh, USA, September 2006
Rashmi Gangadharaiah, B. Narayanaswamy, N. Balakrishnan, "A Novel Method for Two-Speaker Segmentation", Proc. of Intl. Conf. on Speech and Language, (ICSLP), Jeju, Korea, September 2004
B. Narayanaswamy and Rashmi Gangadharaiah,"Extracting Additional Information from Gaussian Mixture Model Probabilities for Improved Text Independent Speaker Identification", Proc. of Intl. Conf. on Acoustics, Speech, and Signal Processing, (ICASSP), Philadelphia, PA, March 2005