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Fernando Martínez-Plumed
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- affiliation: Polytechnic University of Valencia, Spain
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2020 – today
- 2024
- [j19]Lexin Zhou
, Wout Schellaert
Larger and more instructable language models become less reliable. Nat. 634(8032): 61-68 (2024) - [c29]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:
Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint). AAAI 2024: 22712 - [c28]Behzad Mehrbakhsh, Fernando Martínez-Plumed, José Hernández-Orallo:
Distilling the Effects of Language Model Contamination. ECAI 2024: 2298-2305 - [c27]Yael Moros-Daval, Fernando Martínez-Plumed, José Hernández-Orallo:
Language Task Difficulty Prediction Through LLM-Annotated Meta-Features. ECAI 2024: 2434-2441 - 2023
- [j18]Fernando Martínez-Plumed
Training Data Scientists Through Project-Based Learning. Rev. Iberoam. de Tecnol. del Aprendiz. 18(3): 295-304 (2023) - [j17]Wout Schellaert
Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models. J. Artif. Intell. Res. 77: 377-394 (2023) - [j16]Gonzalo Jaimovitch-López, Cèsar Ferri, José Hernández-Orallo, Fernando Martínez-Plumed
Can language models automate data wrangling? Mach. Learn. 112(6): 2053-2082 (2023) - [j15]Radosvet Desislavov, Fernando Martínez-Plumed
Trends in AI inference energy consumption: Beyond the performance-vs-parameter laws of deep learning. Sustain. Comput. Informatics Syst. 38: 100857 (2023) - [j14]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 Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. 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 Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej 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, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris 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, 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 J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, 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 H. 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, José Hernández-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 D. Dhole, Kevin Gimpel, Kevin Omondi, Kory 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, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, 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 A. 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 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 Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, 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 LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, 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 S. 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 T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu 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 V. 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, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - [c26]Behzad Mehrbakhsh, Fernando Martínez-Plumed, José Hernández-Orallo:
Adversarial Benchmark Evaluation Rectified by Controlling for Difficulty. ECAI 2023: 1696-1703 - [i11]Lexin Zhou, Pablo Antonio Moreno Casares, Fernando Martínez-Plumed, John Burden, Ryan Burnell, Lucy Cheke, Cèsar Ferri, Alexandru Marcoci, Behzad Mehrbakhsh, Yael Moros-Daval, Seán Ó hÉigeartaigh, Danaja Rutar, Wout Schellaert, Konstantinos Voudouris, José Hernández-Orallo:
Predictable Artificial Intelligence. CoRR abs/2310.06167 (2023) - 2022
- [c25]Fernando Martínez-Plumed, David Castellano Falcón, Carlos Monserrat Aranda, José Hernández-Orallo:
When AI Difficulty Is Easy: The Explanatory Power of Predicting IRT Difficulty. AAAI 2022: 7719-7727 - [c24]José Hernández-Orallo, Wout Schellaert
Training on the Test Set: Mapping the System-Problem Space in AI. AAAI 2022: 12256-12261 - [c23]Raül Fabra-Boluda, Cèsar Ferri, Fernando Martínez-Plumed, María José Ramírez-Quintana:
Robustness Testing of Machine Learning Families using Instance-Level IRT-Difficulty. EBeM@IJCAI 2022 - [c22]Songül Tolan, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo, Emilia Gómez:
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Extended Abstract). IJCAI 2022: 5777-5781 - [c21]Lexin Zhou, Fernando Martínez-Plumed, José Hernández-Orallo, Cèsar Ferri, Wout Schellaert:
Reject Before You Run: Small Assessors Anticipate Big Language Models. EBeM@IJCAI 2022 - [e1]José Hernández-Orallo, Lucy Cheke, Joshua B. Tenebaum, Tomer D. Ullman, Fernando Martínez-Plumed, Danaja Rutar, John Burden, Ryan Burnell, Wout Schellaert:
Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25th, 2022. CEUR Workshop Proceedings 3169, CEUR-WS.org 2022 [contents] - [i10]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
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - 2021
- [j13]Amparo Alonso-Betanzos, Pedro Cabalar, Graçaliz Pereira Dimuro, Marcos García, José Hernández-Orallo, Raquel Hervás, Angeles Manjarés, Fernando Martínez-Plumed, Inmaculada Mora-Jiménez, Miquel Sànchez-Marrè:
Editor's Note. Int. J. Interact. Multim. Artif. Intell. 6(5): 4-7 (2021) - [j12]Fernando Martínez-Plumed
Missing the missing values: The ugly duckling of fairness in machine learning. Int. J. Intell. Syst. 36(7): 3217-3258 (2021) - [j11]Songül Tolan, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo, Emilia Gómez:
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks. J. Artif. Intell. Res. 71: 191-236 (2021) - [j10]Fernando Martínez-Plumed
Futures of artificial intelligence through technology readiness levels. Telematics Informatics 58: 101525 (2021) - [j9]Fernando Martínez-Plumed
CRISP-DM Twenty Years Later: From Data Mining Processes to Data Science Trajectories. IEEE Trans. Knowl. Data Eng. 33(8): 3048-3061 (2021) - [c20]Fernando Martínez-Plumed, José Hernández-Orallo:
Project-Based Learning for Scaffolding Data Scientists' Skills. ICCSE 2021: 758-763 - [i9]Radosvet Desislavov, Fernando Martínez-Plumed, José Hernández-Orallo:
Compute and Energy Consumption Trends in Deep Learning Inference. CoRR abs/2109.05472 (2021) - 2020
- [j8]Fernando Martínez-Plumed
Dual Indicators to Analyze AI Benchmarks: Difficulty, Discrimination, Ability, and Generality. IEEE Trans. Games 12(2): 121-131 (2020) - [c19]Fernando Martínez-Plumed
Does AI Qualify for the Job?: A Bidirectional Model Mapping Labour and AI Intensities. AIES 2020: 94-100 - [c18]Raül Fabra-Boluda, Cèsar Ferri, Fernando Martínez-Plumed
Family and Prejudice: A Behavioural Taxonomy of Machine Learning Techniques. ECAI 2020: 1135-1142 - [c17]José Hernández-Orallo, Fernando Martínez-Plumed
AI Paradigms and AI Safety: Mapping Artefacts and Techniques to Safety Issues. ECAI 2020: 2521-2528 - [c16]Fernando Martínez-Plumed
Tracking AI: The Capability Is (Not) Near. ECAI 2020: 2915-2916
2010 – 2019
- 2019
- [j7]Fernando Martínez-Plumed
Item response theory in AI: Analysing machine learning classifiers at the instance level. Artif. Intell. 271: 18-42 (2019) - [c15]José Hernández-Orallo, Fernando Martínez-Plumed, Shahar Avin, Seán Ó hÉigeartaigh:
Surveying Safety-relevant AI Characteristics. SafeAI@AAAI 2019 - [c14]Lidia Contreras Ochando
Automated Data Transformation with Inductive Programming and Dynamic Background Knowledge. ECML/PKDD (3) 2019: 735-751 - [c13]Lidia Contreras Ochando
BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation. ECML/PKDD (3) 2019: 755-759 - [i8]Fernando Martínez-Plumed
Fairness and Missing Values. CoRR abs/1905.12728 (2019) - 2018
- [c12]Raül Fabra-Boluda, Cèsar Ferri
Identifying the Machine Learning Family from Black-Box Models. CAEPIA 2018: 55-65 - [c11]Fernando Martínez-Plumed
The Facets of Artificial Intelligence: A Framework to Track the Evolution of AI. IJCAI 2018: 5180-5187 - [c10]Fernando Martínez-Plumed
SALER: A Data Science Solution to Detect and Prevent Corruption in Public Administration. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 103-117 - [i7]Fernando Martínez-Plumed, Shahar Avin, Miles Brundage, Allan Dafoe, Seán Ó hÉigeartaigh
Accounting for the Neglected Dimensions of AI Progress. CoRR abs/1806.00610 (2018) - [i6]Enrique Fernández-Macías
A multidisciplinary task-based perspective for evaluating the impact of AI autonomy and generality on the future of work. CoRR abs/1807.02416 (2018) - [i5]Lidia Contreras Ochando
General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation. CoRR abs/1809.10054 (2018) - [i4]Fernando Martínez-Plumed, José Hernández-Orallo:
Analysing Results from AI Benchmarks: Key Indicators and How to Obtain Them. CoRR abs/1811.08186 (2018) - 2017
- [j6]Fernando Martínez-Plumed
Incremental and developmental perspectives for general-purpose learning systems. Inteligencia Artif. 20(60): 24-27 (2017) - [j5]José Hernández-Orallo, Marco Baroni
A New AI Evaluation Cosmos: Ready to Play the Game? AI Mag. 38(3): 66-69 (2017) - [j4]Fernando Martínez-Plumed
Incremental and Developmental Perspectives for General-Purpose Learning Systems. AI Matters 3(2): 24-25 (2017) - [j3]Fernando Martínez-Plumed
A computational analysis of general intelligence tests for evaluating cognitive development. Cogn. Syst. Res. 43: 100-118 (2017) - [c9]José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers
Computer Models Solving Intelligence Test Problems: Progress and Implications (Extended Abstract). IJCAI 2017: 5005-5009 - [c8]Sankalp Bhatnagar, Anna Alexandrova, Shahar Avin, Stephen Cave
Mapping Intelligence: Requirements and Possibilities. PT-AI 2017: 117-135 - [c7]Raül Fabra-Boluda, Cèsar Ferri
Modelling Machine Learning Models. PT-AI 2017: 175-186 - [i3]Fernando Martínez-Plumed
CASP-DM: Context Aware Standard Process for Data Mining. CoRR abs/1709.09003 (2017) - 2016
- [j2]José Hernández-Orallo, Fernando Martínez-Plumed
Computer models solving intelligence test problems: Progress and implications. Artif. Intell. 230: 74-107 (2016) - [c6]Fernando Martínez-Plumed
Making Sense of Item Response Theory in Machine Learning. ECAI 2016: 1140-1148 - [c5]Fernando Martínez-Plumed, César Ferri, Lidia Contreras Ochando:
Cycling Network Projects: A Decision-Making Aid Approach. SoGood@ECML-PKDD 2016 - 2015
- [j1]Fernando Martínez-Plumed
Knowledge acquisition with forgetting: an incremental and developmental setting. Adapt. Behav. 23(5): 283-299 (2015) - [c4]Adolfo Martínez Usó
Pentaho + R: An Integral View for Multidimensional Prediction Models. CAEPIA 2015: 234-244 - [i2]Fernando Martínez-Plumed
Forgetting and consolidation for incremental and cumulative knowledge acquisition systems. CoRR abs/1502.05615 (2015) - 2014
- [c3]Fernando Martínez-Plumed, César Ferri
A Knowledge Growth and Consolidation Framework for Lifelong Machine Learning Systems. ICMLA 2014: 111-116 - 2013
- [i1]Fernando Martínez-Plumed
On the definition of a general learning system with user-defined operators. CoRR abs/1311.4235 (2013) - 2012
- [c2]Fernando Martínez-Plumed
Learning with Configurable Operators and RL-Based Heuristics. NFMCP 2012: 1-16 - 2010
- [c1]Fernando Martínez-Plumed
Newton Trees. Australasian Conference on Artificial Intelligence 2010: 174-183
Coauthor Index
[j19] [c29] [c28] [c27] [j18] [j17] [j16] [j15] [j14] [c26] [i11] [c25] [c24] [c22] [c21] [e1] [i10] [j13] [j12] [j11] [j10] [j9] [c20] [i9] [j8] [c19] [c18] [c17] [c16] [j7] [c15] [c14] [c13] [i8] [c12] [c11] [i7] [i6] [i5] [i4] [j5] [j3] [c9] [c8] [c7] [i3] [j2] [c6] [j1] [c4] [i2] [c3] [i1] [c2] [c1]
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