Modeling fine-grained spatio-temporal pollution maps with low-cost sensors von Iyer, Shiva R., Balashankar, Ananth, Aeberhard, William H., Bhattacharyya, Sujoy, Rusconi, Giuditta, Jose, Lejo, Soans, Nita, Sudarshan, Anant, Pande, Rohini, Subramanian, Lakshminarayanan

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Predicting food crises using news streams von Balashankar, Ananth, Subramanian, Lakshminarayanan, Fraiberger, Samuel P

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The Need for Transparent Demographic Group Trade-Offs in Credit Risk and Income Classification von Balashankar, Ananth, Lees, Alyssa

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Fairness Sample Complexity and the Case for Human Intervention von Balashankar, Ananth, Lees, Alyssa

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Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment von Wu, Zhaofeng, Balashankar, Ananth, Kim, Yoon, Eisenstein, Jacob, Beirami, Ahmad

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Fine-grained prediction of food insecurity using news streams von Balashankar, Ananth, Subramanian, Lakshminarayanan, Fraiberger, Samuel P

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Comprehensive Monitoring of Air Pollution Hotspots Using Sparse Sensor Networks von Bhardwaj, Ankit, Balashankar, Ananth, Iyer, Shiva, Soans, Nita, Sudarshan, Anant, Pande, Rohini, Subramanian, Lakshminarayanan

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Automated Adversarial Discovery for Safety Classifiers von Lal, Yash Kumar, Lahoti, Preethi, Sinha, Aradhana, Qin, Yao, Balashankar, Ananth

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Inducing Group Fairness in Prompt-Based Language Model Decisions von Atwood, James, Scherrer, Nino, Lahoti, Preethi, Balashankar, Ananth, Prost, Flavien, Beirami, Ahmad

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Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning von Balashankar, Ananth, Ma, Xiao, Sinha, Aradhana, Beirami, Ahmad, Qin, Yao, Chen, Jilin, Beutel, Alex

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Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks von Sinha, Aradhana, Balashankar, Ananth, Beirami, Ahmad, Avrahami, Thi, Chen, Jilin, Beutel, Alex

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InfAlign: Inference-aware language model alignment von Balashankar, Ananth, Sun, Ziteng, Berant, Jonathan, Eisenstein, Jacob, Collins, Michael, Hutter, Adrian, Lee, Jong, Nagpal, Chirag, Prost, Flavien, Sinha, Aradhana, Suresh, Ananda Theertha, Beirami, Ahmad

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Effective Robustness against Natural Distribution Shifts for Models with Different Training Data von Shi, Zhouxing, Carlini, Nicholas, Balashankar, Ananth, Schmidt, Ludwig, Hsieh, Cho-Jui, Beutel, Alex, Qin, Yao

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Improving Classifier Robustness through Active Generation of Pairwise Counterfactuals von Balashankar, Ananth, Wang, Xuezhi, Qin, Yao, Packer, Ben, Thain, Nithum, Chen, Jilin, Chi, Ed H, Beutel, Alex

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Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment von Wu, Zhaofeng, Balashankar, Ananth, Yoon, Kim, Eisenstein, Jacob, Beirami, Ahmad

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Beyond The Text: Analysis of Privacy Statements through Syntactic and Semantic Role Labeling von Shvartzshnaider, Yan, Balashankar, Ananth, Patidar, Vikas, Wies, Thomas, Subramanian, Lakshminarayanan

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Fairness Sample Complexity and the Case for Human Intervention von Balashankar, Ananth, Lees, Alyssa

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What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers von Balashankar, Ananth, Lees, Alyssa, Welty, Chris, Subramanian, Lakshminarayanan

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Fine-grained prediction of food insecurity using news streams von Balashankar, Ananth, Subramanian, Lakshminarayanan, Fraiberger, Samuel P

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Inducing Group Fairness in Prompt-Based Language Model Decisions von Atwood, James, Scherrer, Nino, Lahoti, Preethi, Balashankar, Ananth, Prost, Flavien, Beirami, Ahmad

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