Chirag Nagpal - RankMe

45 papers A* 6Misc 1Journal 28Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Bias in Language Models: Beyond Trick Tests and Towards RUTEd Evaluation. ACL (1) Kristian Lum, Jacy Reese Anthis, Kevin Robinson, Chirag Nagpal, Alexander Nicholas D'Amour
2025	J	`jnl`	EraseBench: Understanding The Ripple Effects of Concept Erasure Techniques. CoRR Ibtihel Amara, Ahmed Imtiaz Humayun, Ivana Kajic, Zarana Parekh, Natalie Harris, Sarah Young, Chirag Nagpal, Najoung Kim, Junfeng He, Cristina Nader Vasconcelos, Deepak Ramachandran, Golnoosh Farnadi, Katherine A. Heller, Mohammad Havaei, Negar Rostamzadeh
2025	A*	`conf`	InfAlign: Inference-aware language model alignment. ICML Ananth Balashankar, Ziteng Sun, Jonathan Berant, Jacob Eisenstein, Michael Collins, Adrian Hutter, Jong Lee, Chirag Nagpal, Flavien Prost, Aradhana Sinha, Ananda Theertha Suresh, Ahmad Beirami
2025	J	`jnl`	Preference Models assume Proportional Hazards of Utilities. CoRR Chirag Nagpal
2025	A*	`conf`	Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning. ICLR Amrith Setlur, Chirag Nagpal, Adam Fisch, Xinyang Geng, Jacob Eisenstein, Rishabh Agarwal, Alekh Agarwal, Jonathan Berant, Aviral Kumar
2025	J	`jnl`	Robust Preference Optimization through Reward Model Distillation. Trans. Mach. Learn. Res. Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Peter Shaw, Jonathan Berant
2025	J	`jnl`	Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning. CoRR Chirag Nagpal, Subhashini Venugopalan, Jimmy Tobin, Marilyn A. Ladewig, Katherine A. Heller, Katrin Tomanek
2025	Misc	`conf`	Speech Recognition with LLMs Adapted to Disordered Speech Using Reinforcement Learning. ICASSP Chirag Nagpal, Subhashini Venugopalan, Jimmy Tobin, Marilyn A. Ladewig, Katherine A. Heller, Katrin Tomanek
2025	A*	`conf`	Theoretical guarantees on the best-of-n alignment policy. ICML Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander Nicholas D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh
2025	J	`jnl`	Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness. CoRR Stephen R. Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Salaudeen, Awa Dieng, Shannon Sequeira, Santiago Eduardo Arciniegas, Lillian Sung, Nnamdi Ezeanochie, Heather Cole-Lewis, Katherine A. Heller, Sanmi Koyejo, Alexander D'Amour
2025	J	`jnl`	Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models. CoRR Roberto-Rafael Maura-Rivero, Chirag Nagpal, Roma Patel, Francesco Visin
2024	J	`jnl`	A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah DeWitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal
2024	J	`jnl`	Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation. CoRR Kristian Lum, Jacy Reese Anthis, Chirag Nagpal, Alexander D'Amour
2024	J	`jnl`	InfAlign: Inference-aware language model alignment. CoRR Ananth Balashankar, Ziteng Sun, Jonathan Berant, Jacob Eisenstein, Michael Collins, Adrian Hutter, Jong Lee, Chirag Nagpal, Flavien Prost, Aradhana Sinha, Ananda Theertha Suresh, Ahmad Beirami
2024	J	`jnl`	Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning. CoRR Amrith Setlur, Chirag Nagpal, Adam Fisch, Xinyang Geng, Jacob Eisenstein, Rishabh Agarwal, Alekh Agarwal, Jonathan Berant, Aviral Kumar
2024	J	`jnl`	Robust Preference Optimization through Reward Model Distillation. CoRR Adam Fisch, Jacob Eisenstein, Vicky Zayats, Alekh Agarwal, Ahmad Beirami, Chirag Nagpal, Petet Shaw, Jonathan Berant
2024	—	`conf`	The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. EAAMO Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller
2024	J	`jnl`	The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. CoRR Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller
2024	J	`jnl`	Theoretical guarantees on the best-of-n alignment policy. CoRR Ahmad Beirami, Alekh Agarwal, Jonathan Berant, Alexander D'Amour, Jacob Eisenstein, Chirag Nagpal, Ananda Theertha Suresh
2024	A*	`conf`	Transforming and Combining Rewards for Aligning Large Language Models. ICML Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alexander Nicholas D'Amour, Sanmi Koyejo, Victor Veitch
2024	J	`jnl`	Transforming and Combining Rewards for Aligning Large Language Models. CoRR Zihao Wang, Chirag Nagpal, Jonathan Berant, Jacob Eisenstein, Alex D'Amour, Sanmi Koyejo, Victor Veitch
2023	J	`jnl`	Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. CoRR Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant
2023	—	`—`	Leveraging Heterogeneity in Time-to-Event Predictions Chirag Nagpal
2023	A*	`conf`	Participatory Personalization in Classification. NeurIPS Hailey Joren, Chirag Nagpal, Katherine A. Heller, Berk Ustun
2023	J	`jnl`	Participatory Systems for Personalized Prediction. CoRR Hailey James, Chirag Nagpal, Katherine A. Heller, Berk Ustun
2023	J	`jnl`	Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes. CoRR Chirag Nagpal, Vedant Sanil, Artur Dubrawski
2022	A*	`conf`	Counterfactual Phenotyping with Censored Time-to-Events. KDD Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski
2022	J	`jnl`	Counterfactual Phenotyping with Censored Time-to-Events. CoRR Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski
2022	—	`conf`	auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data. MLHC Chirag Nagpal, Willa Potosnak, Artur Dubrawski
2022	J	`jnl`	auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data. CoRR Chirag Nagpal, Willa Potosnak, Artur Dubrawski
2021	—	`conf`	Deep Cox Mixtures for Survival Regression. MLHC Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
2021	J	`jnl`	Deep Cox Mixtures for Survival Regression. CoRR Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
2021	—	`conf`	Deep Parametric Time-to-Event Regression with Time-Varying Covariates. SPACA Chirag Nagpal, Vincent Jeanselme, Artur Dubrawski
2021	J	`jnl`	Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks. IEEE J. Biomed. Health Informatics Chirag Nagpal, Xinyu Li, Artur Dubrawski
2020	J	`jnl`	Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks. CoRR Chirag Nagpal, Xinyu Li, Artur Dubrawski
2020	—	`conf`	Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines. CHIL Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
2020	J	`jnl`	Latent Bayesian Inference for Robust Earnings Estimates. CoRR Chirag Nagpal, Robert E. Tillman, Prashant P. Reddy, Manuela Veloso
2019	—	`conf`	Dynamically Personalized Detection of Hemorrhage. MLHC Chirag Nagpal, Xinyu Li, Michael R. Pinsky, Artur Dubrawski
2019	J	`jnl`	Interpretable Subgroup Discovery in Treatment Effect Estimation with Application to Opioid Prescribing Guidelines. CoRR Chirag Nagpal, Dennis Wei, Bhanukiran Vinzamuri, Monica Shekhar, Sara E. Berger, Subhro Das, Kush R. Varshney
2019	J	`jnl`	Nonlinear Semi-Parametric Models for Survival Analysis. CoRR Chirag Nagpal, Rohan Sangave, Amit Chahar, Parth Shah, Artur Dubrawski, Bhiksha Raj
2017	—	`conf`	An Entity Resolution Approach to Isolate Instances of Human Trafficking Online. NUT@EMNLP Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski
2017	J	`jnl`	Preserving Intermediate Objectives: One Simple Trick to Improve Learning for Hierarchical Models. CoRR Abhilasha Ravichander, Shruti Rijhwani, Rajat Kulshreshtha, Chirag Nagpal, Tadas Baltrusaitis, Louis-Philippe Morency
2017	—	`conf`	Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. ICDM Workshops Chirag Nagpal, Kyle Miller, Tiffany Pellathy, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski
2015	J	`jnl`	An Entity Resolution approach to isolate instances of Human Trafficking online. CoRR Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski
2014	J	`jnl`	Twitter User Classification using Ambient Metadata. CoRR Chirag Nagpal, Khushboo Singhal