Hernández-Orallo, José

45 publications

MLJ 2026 When Redundancy Matters: Machine Teaching of Representations Cèsar Ferri, Darío Garigliotti, José Hernández-Orallo, Brigt Arve Toppe Håvardstun, Jan Arne Telle
IJCAI 2025 Contamination Budget: Trade-Offs Between Breadth, Depth and Difficulty Behzad Mehrbakhsh, Fernando Martínez-Plumed, José Hernández-Orallo
NeurIPS 2025 Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit Trivedi, Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Jord Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala, Siddhant Gupta, Aliaksei Korshuk, Buyantuev Alexander, Ilya Makarov, Gang Zhao, Rolando Fernandez, Zhihan Wang, Caroline Wang, Jiaxun Cui, Lingyun Xiao, Di Yang Shi, Yoonchang Sung, Arrasy Rahman, Peter Stone, Yipeng Kang, Hyeonggeun Yun, Ananya Ananya, Taehun Cha, Zhiqiang Wu, Elizaveta Tennant, Olivia Macmillan-Scott, Marta Emili García Segura, Diana Riazi, Fuyang Cui, Sriram Ganapathi Subramanian, Toryn Q. Klassen, Nico Schiavone, Mogtaba Alim, Sheila A. McIlraith, Manuel Sebastian Rios Beltran, Oswaldo Peña, Carlos Saith Rodriguez Rojas, Manuela Chacon-Chamorro, Ruben Manrique, Luis Felipe Giraldo, Nicanor Quijano, Yiding Wang, Yuxuan Chen, Fangwei Zhong, Mengmeng Wang, Wenming Tu, Zhaowei Zhang, Ziang Chen, Zixia Jia, Xue Feng, Zilong Zheng, Chichen Lin, Weijian Fan, Chenao Liu, Sneheel Sarangi, Ziyan Wang, Shuqing Shi, Yali Du, Avinaash Anand Kulandaivel, Yang Liu, Wu Ruiyang, Chetan Talele, 陆孙嘉, Gema Parreño Piqueras, Shamika Dhuri, Bain McHale, Tim Baarslag, Dylan Hadfield-Menell, Natasha Jaques, Jose Hernandez-Orallo, Joel Z Leibo
ECML-PKDD 2025 LLM GameLab: An Interactive Platform for Testing Large Language Models in Board Games Paulina Morillo, Alex Terreros, Cèsar Ferri, José Hernández-Orallo
TMLR 2025 Measuring Data Science Automation: A Survey of Evaluation Tools for AI Assistants and Agents Irene Testini, Lorenzo Pacchiardi, Jose Hernandez-Orallo
IJCAI 2025 Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture John Burden, Marko Tesic, Lorenzo Pacchiardi, José Hernández-Orallo
NeurIPS 2025 Personalized Safety in LLMs: A Benchmark and a Planning-Based Agent Approach Yuchen Wu, Edward Sun, Kaijie Zhu, Jianxun Lian, Jose Hernandez-Orallo, Aylin Caliskan, Jindong Wang
TMLR 2024 Foundational Challenges in Assuring Alignment and Safety of Large Language Models Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, Jose Hernandez-Orallo, Lewis Hammond, Eric J Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Chenyu Zhang, Ruiqi Zhong, Sean O hEigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Aleksandar Petrov, Christian Schroeder de Witt, Sumeet Ramesh Motwani, Yoshua Bengio, Danqi Chen, Philip Torr, Samuel Albanie, Tegan Maharaj, Jakob Nicolaus Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger
NeurIPS 2024 Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence Rakshit S Trivedi, Akbir Khan, Jesse Clifton, Lewis Hammond, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Sasha Vezhnevets, Dipam Chakraborty, Yue Zhao, Marko Tesic, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoğanaras, Natasha Jaques, Jakob Nicolaus Foerster, Vincent Conitzer, Jose Hernandez-Orallo, Dylan Hadfield-Menell, Joel Z Leibo
AAAI 2024 Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint) Wout Schellaert, Fernando Martínez-Plumed, Karina Vold, John Burden, Pablo A. M. Casares, Bao Sheng Loe, Roi Reichart, Seán Ó hÉigeartaigh, Anna Korhonen, José Hernández-Orallo
NeurIPSW 2023 An International Consortium for AI Risk Evaluations Ross Gruetzemacher, Alan Chan, Štěpán Los, Kevin Frazier, Siméon Campos, Matija Franklin, James Fox, Jose Hernandez-Orallo, Christin Manning, Philip Tomei, Kyle Kilian
TMLR 2023 Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Johan Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew Kyle Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakaş, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartłomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cesar Ferri, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Christopher Waites, Christian Voigt, Christopher D Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, C. Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A Chi, Ethan Dyer, Ethan Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, Francois Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germàn Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Xinyue Wang, Gonzalo Jaimovitch-Lopez, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Francis Anthony Shevlin, Hinrich Schuetze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, Jose Hernandez-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh Dhole, Kevin Gimpel, Kevin Omondi, Kory Wallace Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras-Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros-Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje Ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, Maria Jose Ramirez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L Leavitt, Matthias Hagen, Mátyás Schubert, Medina Orduna Baitemirova, Melody Arnaud, Melvin McElrath, Michael Andrew Yee, Michael Cohen, Michael Gu, Michael Ivanitskiy, Michael Starritt, Michael Strube, Michał Swędrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T, Nanyun Peng, Nathan Andrew Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha S. Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter W Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Miłkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan Le Bras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Russ Salakhutdinov, Ryan Andrew Chi, Seungjae Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel Stern Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima Shammie Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven Piantadosi, Stuart Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsunori Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay Venkatesh Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Sophie Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu
MLJ 2023 Can Language Models Automate Data Wrangling? Gonzalo Jaimovitch-López, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana
MLJ 2023 Heuristic Search of Optimal Machine Teaching Curricula Manuel Garcia-Piqueras, José Hernández-Orallo
ECML-PKDD 2023 XAI with Machine Teaching When Humans Are (Not) Informed About the Irrelevant Features Brigt Arve Toppe Håvardstun, Cèsar Ferri, José Hernández-Orallo, Pekka Parviainen, Jan Arne Telle
JAIR 2023 Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models Wout Schellaert, Fernando Martínez-Plumed, Karina Vold, John Burden, Pablo A. M. Casares, Bao Sheng Loe, Roi Reichart, Seán Ó hÉigeartaigh, Anna Korhonen, José Hernández-Orallo
ECML-PKDD 2022 Heterogeneity Breaks the Game: Evaluating Cooperation-Competition with Multisets of Agents Yue Zhao, José Hernández-Orallo
AAAI 2022 How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild Pablo Antonio Moreno Casares, Bao Sheng Loe, John Burden, Seán Ó hÉigeartaigh, José Hernández-Orallo
NeurIPSW 2022 How Sure to Be Safe? Difficulty, Confidence and Negative Side Effects John Burden, Jose Hernandez-Orallo, Sean Heigeartaigh
IJCAI 2022 Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract) Songül Tolan, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo, Emilia Gómez
IJCAI 2022 Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model Cèsar Ferri, José Hernández-Orallo, Jan Arne Telle
IJCAI 2022 Not a Number: Identifying Instance Features for Capability-Oriented Evaluation Ryan Burnell, John Burden, Danaja Rutar, Konstantinos Voudouris, Lucy Cheke, José Hernández-Orallo
AAAI 2022 Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) Co-Located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), Virtual, February, 2022 Gabriel Pedroza, José Hernández-Orallo, Xin Cynthia Chen, Xiaowei Huang, Huáscar Espinoza, Mauricio Castillo-Effen, John A. McDermid, Richard Mallah, Seán Ó hÉigeartaigh
AAAI 2022 Training on the Test Set: Mapping the System-Problem Space in AI José Hernández-Orallo, Wout Schellaert, Fernando Martínez-Plumed
AAAI 2022 When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty Fernando Martínez-Plumed, David Castellano Falcón, Carlos Monserrat Aranda, José Hernández-Orallo
MLJ 2021 AUTOMAT[R]IX: Learning Simple Matrix Pipelines Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo
JAIR 2021 Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks Songül Tolan, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo, Emilia Gómez
ECML-PKDD 2021 Optimal Teaching Curricula with Compositional Simplicity Priors Manuel Garcia-Piqueras, José Hernández-Orallo
NeurIPS 2021 Think Big, Teach Small: Do Language Models Distil Occam’s Razor? Gonzalo Jaimovitch-Lopez, David Castellano Falcón, Cesar Ferri, José Hernández-Orallo
JAIR 2019 AI Generality and Spearman's Law of Diminishing Returns José Hernández-Orallo
ECML-PKDD 2019 Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge Lidia Contreras Ochando, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama
ECML-PKDD 2019 BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation Lidia Contreras Ochando, César Ferri, José Hernández-Orallo, Fernando Martínez-Plumed, María José Ramírez-Quintana, Susumu Katayama
MLJ 2019 The Teaching Size: Computable Teachers and Learners for Universal Languages Jan Arne Telle, José Hernández-Orallo, Cèsar Ferri
IJCAI 2018 The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI Fernando Martínez-Plumed, Bao Sheng Loe, Peter A. Flach, Seán Ó hÉigeartaigh, Karina Vold, José Hernández-Orallo
IJCAI 2017 Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract) José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers, David L. Dowe
ECML-PKDD 2015 Multidimensional Prediction Models When the Resolution Context Changes Adolfo Martínez Usó, José Hernández-Orallo
MLJ 2013 ROC Curves in Cost Space José Hernández-Orallo, Peter A. Flach, César Ferri
JMLR 2012 A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss José Hernández-Orallo, Peter Flach, Cèsar Ferri
ICML 2011 A Coherent Interpretation of AUC as a Measure of Aggregated Classification Performance Peter A. Flach, José Hernández-Orallo, Cèsar Ferri Ramirez
ICML 2011 Brier Curves: A New Cost-Based Visualisation of Classifier Performance José Hernández-Orallo, Peter A. Flach, Cèsar Ferri Ramirez
ECML-PKDD 2008 Hierarchical Distance-Based Conceptual Clustering Ana Maria Funes, César Ferri, José Hernández-Orallo, M. José Ramírez-Quintana
ICML 2004 Delegating Classifiers César Ferri, Peter A. Flach, José Hernández-Orallo
ECML-PKDD 2003 Improving the AUC of Probabilistic Estimation Trees César Ferri, Peter A. Flach, José Hernández-Orallo
ECML-PKDD 2003 Volume Under the ROC Surface for Multi-Class Problems César Ferri, José Hernández-Orallo, Miguel A. Salido
ICML 2002 Learning Decision Trees Using the Area Under the ROC Curve César Ferri, Peter A. Flach, José Hernández-Orallo