Rashmi Gangadharaiah

54 papers A* 4A 5B 6C 1Journal 14Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis. EACL (Volume 1: Long Papers) Disha Makhija, Manoj Ghuhan Arivazhagan, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah
2025	—	`conf`	Constrained Decoding with Speculative Lookaheads. NAACL (Long Papers) Nishanth Sridhar Nakshatri, Shamik Roy, Rajarshi Das, Suthee Chaidaroon, Leonid Boytsov, Rashmi Gangadharaiah
2025	A*	`conf`	FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance. EMNLP Mintong Kang, Vinayshekhar Bannihatti Kumar, Shamik Roy, Abhishek Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah
2025	J	`jnl`	FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance. CoRR Mintong Kang, Vinayshekhar Bannihatti Kumar, Shamik Roy, Abhishek Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah
2025	J	`jnl`	Multi-Faceted Evaluation of Tool-Augmented Dialogue Systems. CoRR Zhaoyi Joey Hou, Tanya Shourya, Yingfan Wang, Shamik Roy, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah
2025	J	`jnl`	Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis. CoRR Disha Makhija, Manoj Ghuhan Arivazhagan, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah
2025	A*	`conf`	Searching for Optimal Solutions with LLMs via Bayesian Optimization. ICLR Dhruv Agarwal, Manoj Ghuhan Arivazhagan, Rajarshi Das, Sandesh Swamy, Sopan Khosla, Rashmi Gangadharaiah
2025	J	`jnl`	When Facts Change: Probing LLMs on Evolving Knowledge with evolveQA. CoRR Nishanth Sridhar Nakshatri, Shamik Roy, Manoj Ghuhan Arivazhagan, Hanhan Zhou, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah
2024	—	`conf`	Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. NAACL-HLT (Findings) Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah
2024	J	`jnl`	Constrained Decoding with Speculative Lookaheads. CoRR Nishanth Sridhar Nakshatri, Shamik Roy, Rajarshi Das, Suthee Chaidaroon, Leonid Boytsov, Rashmi Gangadharaiah
2024	A*	`conf`	First Workshop on Generative AI for Recommender Systems and Personalization. KDD Narges Tabari, Aniket Anand Deshmukh, Wang-Cheng Kang, Hamed Zamani, Rashmi Gangadharaiah, Julian J. McAuley, George Karypis
2024	A	`conf`	Panda: Performance Debugging for Databases using LLM Agents. CIDR Vikramank Y. Singh, Kapil Vaidya, Vinayshekhar Bannihatti Kumar, Sopan Khosla, Balakrishnan Narayanaswamy, Rashmi Gangadharaiah, Tim Kraska
2023	J	`jnl`	Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA. CoRR Dhruv Agarwal, Rajarshi Das, Sopan Khosla, Rashmi Gangadharaiah
2023	A	`conf`	Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. EACL Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah
2023	J	`jnl`	Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems. CoRR Sandesh Swamy, Narges Tabari, Chacha Chen, Rashmi Gangadharaiah
2023	J	`jnl`	Document-Level Supervision for Multi-Aspect Sentiment Analysis Without Fine-grained Labels. CoRR Kasturi Bhattacharjee, Rashmi Gangadharaiah
2023	—	`conf`	GrailQA++: A Challenging Zero-Shot Benchmark for Knowledge Base Question Answering. IJCNLP (1) Ritam Dutt, Sopan Khosla, Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah
2023	—	`conf`	PhraseSumm: Abstractive Short Phrase Summarization. IJCNLP (Findings) Kasturi Bhattacharjee, Kathleen R. McKeown, Rashmi Gangadharaiah
2023	—	`conf`	Privacy Adhering Machine Un-learning in NLP. IJCNLP (Findings) Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth
2023	J	`jnl`	User Persona Identification and New Service Adaptation Recommendation. CoRR Narges Tabari, Sandesh Swamy, Rashmi Gangadharaiah
2022	—	`conf`	Benchmarking the Covariate Shift Robustness of Open-world Intent Classification Approaches. AACL/IJCNLP (2) Sopan Khosla, Rashmi Gangadharaiah
2022	—	`conf`	Evaluating the Practical Utility of Confidence-score based Techniques for Unsupervised Open-world Classification. Insights@ACL Sopan Khosla, Rashmi Gangadharaiah
2022	—	`conf`	PerKGQA: Question Answering over Personalized Knowledge Graphs. NAACL-HLT (Findings) Ritam Dutt, Kasturi Bhattacharjee, Rashmi Gangadharaiah, Dan Roth, Carolyn P. Rosé
2022	J	`jnl`	Privacy Adhering Machine Un-learning in NLP. CoRR Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth
2022	—	`ed.`	Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, NAACL 2022, Hybrid: Seattle, Washington, USA + Online, July 10-15, 2022 NAACL-HLT (Industry Papers) Anastassia Loukina, Rashmi Gangadharaiah, Bonan Min
2022	—	`conf`	Towards Cross-Domain Transferability of Text Generation Models for Legal Text. NLLP@EMNLP Vinayshekhar Bannihatti Kumar, Kasturi Bhattacharjee, Rashmi Gangadharaiah
2022	J	`jnl`	Unsupervised Neural Stylistic Text Generation using Transfer learning and Adapters. CoRR Vinayshekhar Bannihatti Kumar, Rashmi Gangadharaiah, Dan Roth
2022	—	`conf`	What Do Users Care About? Detecting Actionable Insights from User Feedback. NAACL-HLT (Industry Papers) Kasturi Bhattacharjee, Rashmi Gangadharaiah, Kathleen R. McKeown, Dan Roth
2022	J	`jnl`	Zero-Shot Learning for Joint Intent and Slot Labeling. CoRR Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
2021	—	`conf`	Domain and Task-Informed Sample Selection for Cross-Domain Target-based Sentiment Analysis. ICNLSP Kasturi Bhattacharjee, Rashmi Gangadharaiah, Smaranda Muresan
2020	A*	`conf`	Recursive Template-based Frame Generation for Task Oriented Dialog. ACL Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
2019	J	`jnl`	An open access medical knowledge base for community driven diagnostic decision support system development. BMC Medical Informatics Decis. Mak. Lars Müller, 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
2019	—	`conf`	Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog. NAACL-HLT (1) Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
2018	J	`jnl`	Achieving Fluency and Coherency in Task-oriented Dialog. CoRR Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
2018	—	`conf`	What we need to learn if we want to do and not just talk. NAACL-HLT (3) Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
2016	—	`conf`	Using Machine Learning to Accelerate Data Wrangling. ICDM Workshops Shilpi Ahuja, Mary Roth, Rashmi Gangadharaiah, Peter M. Schwarz, Rafael Bastidas
2014	—	`conf`	Learning to Re-rank for Interactive Problem Resolution and Query Refinement. SIGDIAL Conference Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Charles Elkan
2014	B	`conf`	Unsupervised Focus Group Identification from Online Product Reviews. ICPR Sneha Chaudhari, Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
2013	B	`conf`	Hypothesis Refinement Using Agreement Constraints in Machine Translation. IJCNLP Ankur Gandhe, Rashmi Gangadharaiah
2013	B	`conf`	Natural Language Query Refinement for Problem Resolution from Crowd-Sourced Semi-Structured Data. IJCNLP Rashmi Gangadharaiah, Balakrishnan Narayanaswamy
2013	B	`conf`	Semi-Supervised Answer Extraction from Discussion Forums. IJCNLP Rose Catherine, Rashmi Gangadharaiah, Karthik Visweswariah, Dinesh Raghu
2012	—	`conf`	Does Similarity Matter? The Case of Answer Extraction from Technical Discussion Forums. COLING (Posters) Rose Catherine, Amit Singh, Rashmi Gangadharaiah, Dinesh Raghu, Karthik Visweswariah
2012	A	`conf`	PriSM: discovering and prioritizing severe technical issues from product discussion forums. CIKM Rashmi Gangadharaiah, Rose Catherine
2011	B	`conf`	Handling verb phrase morphology in highly inflected Indian languages for Machine Translation. IJCNLP Ankur Gandhe, Rashmi Gangadharaiah, Karthik Visweswariah, Ananthakrishnan Ramanathan
2011	—	`conf`	Phrasal Equivalence Classes for Generalized Corpus-Based Machine Translation. CICLing (2) Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell
2011	B	`conf`	Reducing Asymmetry between language-pairs to Improve Alignment and Translation Quality. IJCNLP Rashmi Gangadharaiah
2010	C	`conf`	Automatic Determination of Number of clusters for creating Templates in Example-Based Machine Translation. EAMT Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell
2010	—	`conf`	Monolingual Distributional Profiles for Word Substitution in Machine Translation. COLING (Posters) Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell
2009	—	`conf`	Active Learning in Example-Based Machine Translation. NODALIDA Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell
2007	—	`conf`	Building a better Indian English voice using "more data". SSW Rohit Kumar, Rashmi Gangadharaiah, Sharath Rao, Kishore Prahallad, Carolyn P. Rosé, Alan W. Black
2006	—	`conf`	Spectral Clustering for Example Based Machine Translation. HLT-NAACL Rashmi Gangadharaiah, Ralf D. Brown, Jaime G. Carbonell
2006	A	`conf`	Voting for two speaker segmentation. INTERSPEECH Narayanaswamy Balakrishnan, Rashmi Gangadharaiah, Richard M. Stern
2005	—	`conf`	Extracting Additional Information from Gaussian Mixture Model Probabilities for Improved Text-Independent Speaker Identification. ICASSP (1) Balakrishnan Narayanaswamy, Rashmi Gangadharaiah
2004	A	`conf`	A novel method for two-speaker segmentation. INTERSPEECH Rashmi Gangadharaiah, Balakrishnan Narayanaswamy, Narayanaswamy Balakrishnan