Jwala Dhamala - RankMe

50 papers A* 1A 1Journal 26Unranked 22

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Establishing Best Practices for Building Rigorous Agentic Benchmarks. CoRR Yuxuan Zhu, Tengjun Jin, Yada Pruksachatkun, Andy Zhang, Shu Liu, Sasha Cui, Sayash Kapoor, Shayne Longpre, Kevin Meng, Rebecca Weiss, Fazl Barez, Rahul Gupta, Jwala Dhamala, Jacob Merizian, Mario Giulianelli, Harry Coppock, Cozmin Ududec, Jasjeet S. Sekhon, Jacob Steinhardt, Antony Kellerman, Sarah Schwettmann, Matei Zaharia, Ion Stoica, Percy Liang, Daniel Kang
2025	J	`jnl`	Simulating and Understanding Deceptive Behaviors in Long-Horizon Interactions. CoRR Yang Xu, Xuanming Zhang, Samuel Yeh, Jwala Dhamala, Ousmane Dia, Rahul Gupta, Sharon Li
2024	—	`conf`	MICo: Preventative Detoxification of Large Language Models through Inhibition Control. NAACL-HLT (Findings) Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan
2024	—	`conf`	Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. NAACL-HLT (Findings) Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta
2024	—	`conf`	Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. ACL (1) Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024	J	`jnl`	Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. CoRR Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2023	—	`conf`	"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. FAccT Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023	J	`jnl`	"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. CoRR Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023	J	`jnl`	Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. CoRR Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2023	A	`conf`	Incorporating Fairness in Large Scale NLU Systems. WSDM Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan
2023	J	`jnl`	JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2023	—	`conf`	Multi-VALUE: A Framework for Cross-Dialectal English NLP. ACL (1) Caleb Ziems, William Barr Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta, Diyi Yang
2023	—	`conf`	Resolving Ambiguities in Text-to-Image Generative Models. ACL (1) Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2022	—	`conf`	An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. SLT Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2022	J	`jnl`	An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation. CoRR Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2022	J	`jnl`	Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models. CoRR Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2022	—	`conf`	Measuring Fairness of Text Classifiers via Prediction Sensitivity. ACL (1) Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang
2022	J	`jnl`	Measuring Fairness of Text Classifiers via Prediction Sensitivity. CoRR Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang
2022	—	`conf`	Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. ACL (Findings) Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
2022	J	`jnl`	Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. CoRR Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
2022	J	`jnl`	Multi-VALUE: A Framework for Cross-Dialectal English NLP. CoRR Caleb Ziems, William Barr Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta, Diyi Yang
2022	—	`conf`	On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. ACL (2) Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
2022	J	`jnl`	On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. CoRR Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
2021	—	`conf`	BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. FAccT Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta
2021	J	`jnl`	BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. CoRR Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta
2021	—	`conf`	Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. ACL/IJCNLP (Findings) Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang
2021	J	`jnl`	Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. CoRR Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang
2021	J	`jnl`	Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning. CoRR Md Shakil Zaman, Jwala Dhamala, Pradeep Bajracharya, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
2021	A*	`conf`	Measures and Best Practices for Responsible AI. KDD Sunipa Dev, Mehrnoosh Sameki, Jwala Dhamala, Cho-Jui Hsieh
2020	J	`jnl`	Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models. Medical Image Anal. Jwala Dhamala, Pradeep Bajracharya, Hermenegild Arevalo, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
2020	—	`conf`	Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks. Insights Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta
2020	J	`jnl`	Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks. CoRR Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar, Sriram Venkatapathy, Ragav Venkatesan, Rahul Gupta
2020	J	`jnl`	High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. CoRR Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
2020	—	`conf`	Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. MICCAI (6) Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang
2020	J	`jnl`	Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. CoRR Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang
2020	J	`jnl`	Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models. CoRR Jwala Dhamala, John L. Sapp, B. Milan Horácek, Linwei Wang
2019	—	`conf`	Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. MICCAI (2) Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
2019	J	`jnl`	Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. CoRR Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
2019	J	`jnl`	Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. CoRR Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, B. Milan Horácek, Linwei Wang
2019	—	`conf`	Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. IPMI Sandesh Ghimire, Prashnna Kumar Gyawali, Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
2019	J	`jnl`	Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. CoRR Sandesh Ghimire, Prashnna Kumar Gyawali, Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
2018	—	`conf`	Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. MICCAI (2) Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang
2018	—	`conf`	High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. MICCAI (2) Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
2018	J	`jnl`	Multivariate Time-series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection. CoRR Jwala Dhamala, Emmanuel Azuh, Abdullah Al-Dujaili, Jonathan Rubin, Una-May O'Reilly
2018	J	`jnl`	Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology. Medical Image Anal. Jwala Dhamala, Hermenegild Arevalo, John L. Sapp, B. Milan Horácek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
2017	—	`conf`	Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach. CinC Jwala Dhamala, Jaume Coll-Font, Jess D. Tate, María de la Salud Guillem Sánchez, Dana H. Brooks, Linwei Wang, Rob S. MacLeod, Sandesh Ghimire
2017	—	`conf`	Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models. IPMI Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
2017	J	`jnl`	Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology. IEEE Trans. Medical Imaging Jwala Dhamala, Hermenegild Arevalo, John L. Sapp, Milan Horacek, Katherine C. Wu, Natalia A. Trayanova, Linwei Wang
2016	—	`conf`	Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models. MICCAI (3) Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
2016	—	`conf`	The Consortium on Electrocardiographic Imaging. CinC Jaume Coll-Font, Dana H. Brooks, Peter M. van Dam, Jwala Dhamala, Olaf Dössel, María de la Salud Guillem Sánchez, Rob S. MacLeod, Danila Potyagaylo, Walther H. W. Schulze, Jess D. Tate, Linwei Wang