Ayush K. Tarun

According to our database, Ayush K. Tarun authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Helpful to a Fault: Measuring Illicit Assistance in Multi-Turn, Multilingual LLM Agents.

Nivya Talokar, Ayush K. Tarun, Murari Mandal, Maksym Andriushchenko, Antoine Bosselut

CoRR, February, 2026

Apertus: Democratizing Open and Compliant LLMs for Global Language Environments.

Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, Angelika Romanou, Antoni-Joan Solergibert i Llaquet, Barna Pásztor, Bettina Messmer, Dhia Garbaya, Eduard Frank Durech, Ido Hakimi, Juan Garcia Giraldo, Mete Ismayilzada, Negar Foroutan, Skander Moalla, Tiancheng Chen, Vinko Sabolcec, Yixuan Even Xu, Michael Aerni, Badr AlKhamissi, Ines Altemir Marinas, Mohammad Hossein Amani, Matin Ansaripour, Ilia Badanin, Harold Benoit, Emanuela Boros, Nicholas John Browning, Fabian Bösch, Maximilian Böther, Niklas Canova, Camille Challier, Clément Charmillot, Jonathan Coles, Jan Milan Deriu, Arnout Devos, Lukas Drescher, Daniil Dzenhaliou, Maud Ehrmann, Dongyang Fan, Simin Fan, Silin Gao, Miguel Gila, María Grandury, Diba Hashemi, Alexander Miserlis Hoyle, Jiaming Jiang, Mark Klein, Andrei Kucharavy, Anastasiia Kucherenko, Frederike Lübeck, Roman Machacek, Theofilos Ioannis Manitaras, Andreas Marfurt, Kyle Matoba, Simon Matrenok, Henrique Mendonça, Fawzi Roberto Mohamed, Syrielle Montariol, Luca Mouchel, Sven Najem-Meyer, Jingwei Ni, Gennaro Oliva, Matteo Pagliardini, Elia Palme, Andrei Panferov, Léo Paoletti, Marco Passerini, Ivan Pavlov, Auguste Poiroux, Kaustubh Ponkshe, Nathan Ranchin, Javier Rando, Mathieu Sauser, Jakhongir Saydaliev, Mukhammadali Sayfiddinov, Marian Schneider, Stefano Schuppli, Marco Scialanga, Andrei Semenov, Kumar Shridhar, Raghav Singhal, Anna Sotnikova, Alexander Sternfeld, Ayush Kumar Tarun, Paul Teiletche, Jannis Vamvas, Xiaozhe Yao, Hao Zhao, Alexander Ilic, Ana Klimovic, Andreas Krause, Caglar Gulcehre, David Rosenthal, Elliott Ash, Florian Tramèr, Joost VandeVondele, Livio Veraldi, Martin Rajman, Thomas C. Schulthess, Torsten Hoefler, Antoine Bosselut, Martin Jaggi, Imanol Schlag

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Revisiting Multilingual Data Mixtures in Language Model Pretraining.

Negar Foroutan, Paul Teiletche, Ayush Kumar Tarun, Antoine Bosselut

CoRR, October, 2025

Can Performant LLMs Be Ethical? Quantifying the Impact of Web Crawling Opt-Outs.

Dongyang Fan, Vinko Sabolcec, Matin Ansaripour, Ayush Kumar Tarun, Martin Jaggi, Antoine Bosselut, Imanol Schlag

CoRR, April, 2025

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge.

Angelika Romanou, Negar Foroutan, Anna Sotnikova, Zeming Chen, Sree Harsha Nelaturu, Shivalika Singh, Rishabh Maheshwary, Micol Altomare, Mohamed A. Haggag, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut, Snegha A, Alfonso Amayuelas, Azril Hafizi Amirudin, Viraat Aryabumi, Danylo Boiko, Michael Chang, Jenny Chim, Gal Cohen, Aditya Kumar Dalmia, Abraham Diress, Sharad Duwal, Daniil Dzenhaliou, Daniel Fernando Erazo Florez, Fabian Farestam, Joseph Marvin Imperial, Shayekh Bin Islam, Perttu Isotalo, Maral Jabbarishiviari, Börje F. Karlsson, Eldar Khalilov, Christopher Klamm, Fajri Koto, Dominik Krzeminski, Gabriel Adriano de Melo, Syrielle Montariol, Yiyang Nan, Joel Niklaus, Jekaterina Novikova, Johan Samir Obando-Ceron, Debjit Paul, Esther Ploeger, Jebish Purbey, Swati Rajwal, Selvan Sunitha Ravi, Sara Rydell, Roshan Santhosh, Drishti Sharma, Marjana Prifti Skenduli, Arshia Soltani Moakhar, Bardia Soltani Moakhar, Ran Tamir, Ayush Kumar Tarun, Azmine Toushik Wasi, Thenuka Ovin Weerasinghe, Serhan Yilmaz, Mike Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Fast Yet Effective Machine Unlearning.

Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Mohan S. Kankanhalli

IEEE Trans. Neural Networks Learn. Syst., September, 2024

A Universal Metric for Robust Evaluation of Synthetic Tabular Data.

Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mukund Lahoti, Pratik Narang

IEEE Trans. Artif. Intell., January, 2024

A Unified Framework for Continual Learning and Machine Unlearning.

Romit Chatterjee, Vikram S. Chundawat, Ayush K. Tarun, Ankur Mali, Murari Mandal

CoRR, 2024

EcoVal: An Efficient Data Valuation Framework for Machine Learning.

Ayush K. Tarun, Vikram S. Chundawat, Murari Mandal, Hong Ming Tan, Bowei Chen, Mohan S. Kankanhalli

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Zero-Shot Machine Unlearning.

Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mohan S. Kankanhalli

IEEE Trans. Inf. Forensics Secur., 2023

Deep Regression Unlearning.

Ayush Kumar Tarun, Vikram Singh Chundawat, Murari Mandal, Mohan S. Kankanhalli

Proceedings of the International Conference on Machine Learning, 2023

Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher.

Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mohan S. Kankanhalli

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data.

Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mukund Lahoti, Pratik Narang

CoRR, 2022