Satyapriya Krishna

51 papers A* 6A 1Journal 36Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Evaluating Nova 2.0 Lite model under Amazon's Frontier Model Safety Framework. CoRR Satyapriya Krishna, Matteo Memelli, Tong Wang, Abhinav Mohanty, Claire O'Brien Rajkumar, Payal Motwani, Rahul Gupta, Spyros Matsoukas
2025	J	`jnl`	AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. CoRR Shaona Ghosh, Heather Frase, Adina Williams, Sarah Luger, Paul Röttger, Fazl Barez, Sean McGregor, Kenneth Fricklas, Mala Kumar, Quentin Feuillade-Montixi, Kurt D. Bollacker, Felix Friedrich, Ryan Tsang, Bertie Vidgen, Alicia Parrish, Chris Knotz, Eleonora Presani, Jonathan Bennion, Marisa Ferrara Boston, Mike Kuniavsky, Wiebke Hutiri, James Ezick, Malek Ben Salem, Rajat Sahay, Sujata S. Goswami, Usman Gohar, Ben Huang, Supheakmungkol Sarin, Elie Alhajjar, Canyu Chen, Roman Eng, Kashyap Ramanandula Manjusha, Virendra Mehta, Eileen Long, Murali Emani, Natan Vidra, Benjamin Rukundo, Abolfazl Shahbazi, Kongtao Chen, Rajat Ghosh, Vithursan Thangarasa, Pierre Peigné, Abhinav Singh, Max Bartolo, Satyapriya Krishna, Mubashara Akhtar, Rafael Gold, Cody Coleman, Luis Oala, Vassil Tashev, Joseph Marvin Imperial, Amy Russ, Sasidhar Kunapuli, Nicolas Miailhe, Julien Delaunay, Bhaktipriya Radharapu, Rajat Shinde, Tuesday, Debojyoti Dutta, Declan Grabb, Ananya Gangavarapu, Saurav Sahay, Agasthya Gangavarapu, Patrick Schramowski, Stephen Singam, Tom David, Xudong Han, Priyanka Mary Mammen, Tarunima Prabhakar, Venelin Kovatchev, Ahmed Ahmed, Kelvin N. Manyeki, Sandeep Madireddy, Foutse Khomh, Fedor Zhdanov, Joachim Baumann, Nina Vasan, Xianjun Yang, Carlos Mougn, Jibin Rajan Varghese, Hussain Chinoy, Seshakrishna Jitendar, Manil Maskey, Claire V. Hardgrove, Tianhao Li, Aakash Gupta, Emil Joswin, Yifan Mai, Shachi H. Kumar, Cigdem Patlak, Kevin Lu, Vincent Alessi, Sree Bhargavi Balija, Chenhe Gu, Robert Sullivan, James Gealy, Matt Lavrisa, James Goel, Peter Mattson, Percy Liang, Joaquin Vanschoren
2025	J	`jnl`	D-REX: A Benchmark for Detecting Deceptive Reasoning in Large Language Models. CoRR Satyapriya Krishna, Andy Zou, Rahul Gupta, Eliot Krzysztof Jones, Nick Winter, Dan Hendrycks, J. Zico Kolter, Matt Fredrikson, Spyros Matsoukas
2025	J	`jnl`	Evaluating the Critical Risks of Amazon's Nova Premier under the Frontier Model Safety Framework. CoRR Satyapriya Krishna, Ninareh Mehrabi, Abhinav Mohanty, Matteo Memelli, Vincent Ponzo, Payal Motwani, Rahul Gupta
2025	—	`conf`	Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation. NAACL (Long Papers) Satyapriya Krishna, Kalpesh Krishna, Anhad Mohananey, Steven Schwarcz, Adam Stambler, Shyam Upadhyay, Manaal Faruqui
2025	J	`jnl`	From Narrow Unlearning to Emergent Misalignment: Causes, Consequences, and Containment in LLMs. CoRR Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, Sattvik Sahai, Prasoon Goyal, Kai-Wei Chang, Tao Zhang, Rahul Gupta
2025	J	`jnl`	Learning from Failures: Understanding LLM Alignment through Failure-Aware Inverse RL. CoRR Nyal Patel, Matthieu Bou, Arjun Jagota, Satyapriya Krishna, Sonali Parbhoo
2025	A*	`conf`	More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness. ICLR Aaron Jiaxun Li, Satyapriya Krishna, Himabindu Lakkaraju
2025	J	`jnl`	Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs). Trans. Mach. Learn. Res. Apurv Verma, Satyapriya Krishna, Sebastian Gehrmann, Madhavan Seshadri, Anu Pradhan, John A. Doucette, David Rabinowitz, Leslie Barrett, Tom Ault, Hai Phan
2025	J	`jnl`	Self-Correcting Large Language Models: Generation vs. Multiple Choice. CoRR Hossein A. Rahmani, Satyapriya Krishna, Xi Wang, Mohammadmehdi Naghiaei, Emine Yilmaz
2025	J	`jnl`	The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives. CoRR Matthieu Bou, Nyal Patel, Arjun Jagota, Satyapriya Krishna, Sonali Parbhoo
2024	—	`conf`	Black-Box Access is Insufficient for Rigorous AI Audits. FAccT Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas A. Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell
2024	J	`jnl`	Black-Box Access is Insufficient for Rigorous AI Audits. CoRR Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas Alexander Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell
2024	A*	`conf`	Croissant: A Metadata Format for ML-Ready Datasets. NeurIPS Mubashara Akhtar, Omar Benjelloun, Costanza Conforti, Luca Foschini, Joan Giner-Miguelez, Pieter Gijsbers, Sujata S. Goswami, Nitisha Jain, Michalis Karamousadakis, Michael Kuchnik, Satyapriya Krishna, Sylvain Lesage, Quentin Lhoest, Pierre Marcenac, Manil Maskey, Peter Mattson, Luis Oala, Hamidah Oderinwale, Pierre Ruyssen, Tim Santos, Rajat Shinde, Elena Simperl, Arjun Suresh, Goeffry Thomas, Slava Tykhonov, Joaquin Vanschoren, Susheel Varma, Jos van der Velde, Steffen Vogler, Carole-Jean Wu, Luyao Zhang
2024	J	`jnl`	Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence. CoRR Bo Peng, Daniel Goldstein, Quentin Anthony, Alon Albalak, Eric Alcaide, Stella Biderman, Eugene Cheah, Xingjian Du, Teddy Ferdinan, Haowen Hou, Przemyslaw Kazienko, Kranthi Kiran GV, Jan Kocon, Bartlomiej Koptyra, Satyapriya Krishna, Ronald McClelland Jr., Niklas Muennighoff, Fares Obeid, Atsushi Saito, Guangyu Song, Haoqin Tu, Stanislaw Wozniak, Ruichong Zhang, Bingchen Zhao, Qihang Zhao, Peng Zhou, Jian Zhu, Rui-Jie Zhu
2024	J	`jnl`	Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation. CoRR Satyapriya Krishna, Kalpesh Krishna, Anhad Mohananey, Steven Schwarcz, Adam Stambler, Shyam Upadhyay, Manaal Faruqui
2024	J	`jnl`	Insights from the Inverse: Reconstructing LLM Training Goals Through Inverse RL. CoRR Jared Joselowitz, Arjun Jagota, Satyapriya Krishna, Sonali Parbhoo
2024	J	`jnl`	More RLHF, More Trust? On The Impact of Human Preference Alignment On Language Model Trustworthiness. CoRR Aaron Jiaxun Li, Satyapriya Krishna, Himabindu Lakkaraju
2024	—	`conf`	On the Trade-offs between Adversarial Robustness and Actionable Explanations. AIES (1) Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju
2024	J	`jnl`	Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs). CoRR Apurv Verma, Satyapriya Krishna, Sebastian Gehrmann, Madhavan Seshadri, Anu Pradhan, Tom Ault, Leslie Barrett, David Rabinowitz, John A. Doucette, NhatHai Phan
2024	J	`jnl`	The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective. Trans. Mach. Learn. Res. Satyapriya Krishna, Tessa Han, Alex Gu, Steven Wu, Shahin Jabbari, Himabindu Lakkaraju
2024	A*	`conf`	Understanding the Effects of Iterative Prompting on Truthfulness. ICML Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju
2024	J	`jnl`	Understanding the Effects of Iterative Prompting on Truthfulness. CoRR Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju
2023	J	`jnl`	Are Large Language Models Post Hoc Explainers? CoRR Nicholas Kroeger, Dan Ley, Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju
2023	J	`jnl`	Explaining machine learning models with interactive natural language conversations using TalkToModel. Nat. Mac. Intell. Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh
2023	J	`jnl`	On the Intersection of Self-Correction and Trust in Language Models. CoRR Satyapriya Krishna
2023	J	`jnl`	On the Trade-offs between Adversarial Robustness and Actionable Explanations. CoRR Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju
2023	A*	`conf`	Post Hoc Explanations of Language Models Can Improve Language Models. NeurIPS Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju
2023	J	`jnl`	Post Hoc Explanations of Language Models Can Improve Language Models. CoRR Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju
2023	A*	`conf`	Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten. ICML Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju
2023	J	`jnl`	Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten. CoRR Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju
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	A*	`conf`	OpenXAI: Towards a Transparent Evaluation of Model Explanations. NeurIPS Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju
2022	J	`jnl`	OpenXAI: Towards a Transparent Evaluation of Model Explanations. CoRR Chirag Agarwal, Eshika Saxena, Satyapriya Krishna, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, Himabindu Lakkaraju
2022	J	`jnl`	Rethinking Stability for Attribution-based Explanations. CoRR Chirag Agarwal, Nari Johnson, Martin Pawelczyk, Satyapriya Krishna, Eshika Saxena, Marinka Zitnik, Himabindu Lakkaraju
2022	J	`jnl`	TalkToModel: Understanding Machine Learning Models With Open Ended Dialogues. CoRR Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju, Sameer Singh
2022	J	`jnl`	The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective. CoRR Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, Himabindu Lakkaraju
2021	A	`conf`	ADePT: Auto-encoder based Differentially Private Text Transformation. EACL Satyapriya Krishna, Rahul Gupta, Christophe Dupuy
2021	J	`jnl`	ADePT: Auto-encoder based Differentially Private Text Transformation. CoRR Satyapriya Krishna, Rahul Gupta, Christophe Dupuy
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`	Grounding Complex Navigational Instructions Using Scene Graphs. CoRR Michiel de Jong, Satyapriya Krishna, Anuva Agarwal
2021	—	`conf`	Towards Realistic Single-Task Continuous Learning Research for NER. EMNLP (Findings) Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta
2021	J	`jnl`	Towards Realistic Single-Task Continuous Learning Research for NER. CoRR Justin Payan, Yuval Merhav, He Xie, Satyapriya Krishna, Anil Ramakrishna, Mukund Sridhar, Rahul Gupta
2020	J	`jnl`	Towards classification parity across cohorts. CoRR Aarsh Patel, Rahul Gupta, Mukund Harakere, Satyapriya Krishna, Aman Alok, Peng Liu
2019	J	`jnl`	FineText: Text Classification via Attention-based Language Model Fine-tuning. CoRR Yunzhe Tao, Saurabh Gupta, Satyapriya Krishna, Xiong Zhou, Orchid Majumder, Vineet Khare