Leonard Tang - RankMe

24 papers A* 7Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MJ1: Multimodal Judgment via Grounded Verification. CoRR Bhavesh Kumar, Dylan Feng, Leonard Tang
2025	J	`jnl`	Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming. CoRR Mrinank Sharma, Meg Tong, Jesse Mu, Jerry Wei, Jorrit Kruthoff, Scott Goodfriend, Euan Ong, Alwin Peng, Raj Agarwal, Cem Anil, Amanda Askell, Nathan Bailey, Joe Benton, Emma Bluemke, Samuel R. Bowman, Eric Christiansen, Hoagy Cunningham, Andy Dau, Anjali Gopal, Rob Gilson, Logan Graham, Logan Howard, Nimit Kalra, Taesung Lee, Kevin Lin, Peter Lofgren, Francesco Mosconi, Clare O'Hara, Catherine Olsson, Linda Petrini, Samir Rajani, Nikhil Saxena, Alex Silverstein, Tanya Singh, Theodore R. Sumers, Leonard Tang, Kevin K. Troy, Constantin Weisser, Ruiqi Zhong, Giulio Zhou, Jan Leike, Jared Kaplan, Ethan Perez
2025	A*	`conf`	Endless Jailbreaks with Bijection Learning. ICLR Brian R. Y. Huang, Maximilian Li, Leonard Tang
2025	J	`jnl`	Verdict: A Library for Scaling Judge-Time Compute. CoRR Nimit Kalra, Leonard Tang
2024	J	`jnl`	Endless Jailbreaks with Bijection Learning. CoRR Brian R. Y. Huang, Maximilian Li, Leonard Tang
2024	J	`jnl`	Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin N. Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren
2023	J	`jnl`	Baselines for Identifying Watermarked Large Language Models. CoRR Leonard Tang, Gavin Uberti, Tom Shlomi
2023	J	`jnl`	Consistent Explanations in the Face of Model Indeterminacy via Ensembling. CoRR Dan Ley, Leonard Tang, Matthew Nazari, Hongjin Lin, Suraj Srinivas, Himabindu Lakkaraju
2023	A*	`conf`	Degraded Polygons Raise Fundamental Questions of Neural Network Perception. NeurIPS Leonard Tang, Dan Ley
2023	J	`jnl`	Degraded Polygons Raise Fundamental Questions of Neural Network Perception. CoRR Leonard Tang, Dan Ley
2023	A*	`conf`	From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams. KDD Iddo Drori, Sarah J. Zhang, Reece Shuttleworth, Sarah Zhang, Keith Tyser, Zad Chin, Pedro Lantigua, Saisamrit Surbehera, Gregory Hunter, Derek Austin, Leonard Tang, Yann Hicke, Sage Simhon, Sathwik Karnik, Darnell Granberry, Madeleine Udell
2023	J	`jnl`	Learning the Wrong Lessons: Inserting Trojans During Knowledge Distillation. CoRR Leonard Tang, Tom Shlomi, Alexander Cai
2023	A*	`conf`	MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding. EMNLP Steven H. Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dimitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, Dan Hendrycks
2023	J	`jnl`	MAUD: An Expert-Annotated Legal NLP Dataset for Merger Agreement Understanding. CoRR Steven H. Wang, Antoine Scardigli, Leonard Tang, Wei Chen, Dimitry Levkin, Anya Chen, Spencer Ball, Thomas Woodside, Oliver Zhang, Dan Hendrycks
2023	A*	`conf`	The Naughtyformer: A Transformer Understands and Moderates Adult Humor (Student Abstract). AAAI Leonard Tang, Alexander Cai, Jason Wang
2022	J	`jnl`	A Dataset and Benchmark for Automatically Answering and Generating Machine Learning Final Exams. CoRR Sarah J. Zhang, Reece Shuttleworth, Derek Austin, Yann Hicke, Leonard Tang, Sathwik Karnik, Darnell Granberry, Iddo Drori
2022	A*	`conf`	LILA: A Unified Benchmark for Mathematical Reasoning. EMNLP Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
2022	J	`jnl`	Lila: A Unified Benchmark for Mathematical Reasoning. CoRR Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
2022	A*	`conf`	PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures. CVPR Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt
2022	—	`conf`	Solving Probability and Statistics Problems by Probabilistic Program Synthesis at Human Level and Predicting Solvability. AIED (2) Leonard Tang, Elizabeth Ke, Nikhil Singh, Bo Feng, Derek Austin, Nakul Verma, Iddo Drori
2022	J	`jnl`	The Naughtyformer: A Transformer Understands Offensive Humor. CoRR Leonard Tang, Alexander Cai, Steve Li, Jason Wang
2021	J	`jnl`	A Neural Network Solves and Generates Mathematics Problems by Program Synthesis: Calculus, Differential Equations, Linear Algebra, and More. CoRR Iddo Drori, Sunny Tran, Roman Wang, Newman Cheng, Kevin Liu, Leonard Tang, Elizabeth Ke, Nikhil Singh, Taylor L. Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, Gilbert Strang
2021	J	`jnl`	PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures. CoRR Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt
2021	J	`jnl`	Solving Probability and Statistics Problems by Program Synthesis. CoRR Leonard Tang, Elizabeth Ke, Nikhil Singh, Nakul Verma, Iddo Drori