Jwala Dhamala
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
5
Active years
2016–2024
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACL | Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. | Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan |
| 2024 | NAACL | Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. | Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta |
| 2024 | NAACL | MICo: Preventative Detoxification of Large Language Models through Inhibition Control. | Roy Siegelmann, Ninareh Mehrabi, Palash Goyal, Prasoon Goyal, Lisa Bauer, Jwala Dhamala, Aram Galstyan, Rahul Gupta, Reza Ghanadan |
| 2023 | ACL | Resolving Ambiguities in Text-to-Image Generative Models. | Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta |
| 2023 | ACL | Multi-VALUE: A Framework for Cross-Dialectal English NLP. | Caleb Ziems, William Barr Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta, Diyi Yang |
| 2023 | WSDM | Incorporating Fairness in Large Scale NLU Systems. | 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 |
| 2022 | ACL | On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. | Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan |
| 2022 | ACL | Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. | Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan |
| 2022 | ACL | Measuring Fairness of Text Classifiers via Prediction Sensitivity. | Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang |
| 2021 | ACL | Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. | Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang |
| 2021 | KDD | Measures and Best Practices for Responsible AI. | Sunipa Dev, Mehrnoosh Sameki, Jwala Dhamala, Cho-Jui Hsieh |
| 2020 | MICCAI | Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. | Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang |
| 2019 | MICCAI | Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. | Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horcek, Linwei Wang |
| 2018 | MICCAI | High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. | Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horcek, Linwei Wang |
| 2018 | MICCAI | Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. | Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang |
| 2016 | MICCAI | Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models. | Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang |