Jean Kaddour

Most-cited papers

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu +29 more
2024International Conference on Learning Representations751 citations
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Challenges and Applications of Large Language Models
Jean Kaddour, J. Harris, Maximilian Mozes, Herbie Bradley +2 more
2023arXiv.org521 citations Open access
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Are We Done with MMLU?
Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto +12 more
2024North American Chapter of the Association for Computational Linguistics217 citations
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Causal Machine Learning: A Survey and Open Problems
Jean Kaddour, Aengus Lynch, Qi Liu, Matt J. Kusner +1 more
2022arXiv.org184 citations Open access
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REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
Zafir Stojanovski, Oliver Stanley, Joe Sharratt, Richard Jones +3 more
2025Neural Information Processing Systems144 citations
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When Do Flat Minima Optimizers Work?
Jean Kaddour, Linqing Liu, Ricardo Silva, Matt J. Kusner
2022Neural Information Processing Systems102 citations Open access
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The MiniPile Challenge for Data-Efficient Language Models
Jean Kaddour
2023arXiv.org83 citations Open access
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No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini +1 more
2023Neural Information Processing Systems63 citations Open access
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Causal Effect Inference for Structured Treatments
Jean Kaddour, Yuchen Zhu, Qi Liu, Matt J. Kusner +1 more
2021Neural Information Processing Systems63 citations
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Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging
Jean Kaddour
2022arXiv.org58 citations Open access
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Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases
Aengus Lynch, G. Dovonon, Jean Kaddour, Ricardo Silva
2023arXiv.org53 citations Open access
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Early Weight Averaging meets High Learning Rates for LLM Pre-training
Sunny Sanyal, A. Neerkaje, Jean Kaddour, Abhishek Kumar +1 more
202343 citations
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Evaluating Self-Supervised Learning for Molecular Graph Embeddings
Hanchen Wang, Jean Kaddour, Sheng-Chao Liu, Jian Tang +3 more
2022Neural Information Processing Systems41 citations Open access
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Probabilistic Active Meta-Learning
Jean Kaddour, Steindór Sæmundsson, M. Deisenroth
2020Neural Information Processing Systems38 citations
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TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Yuwei Yin, Jean Kaddour, Xiang Zhang, Yixin Nie +3 more
2023arXiv.org16 citations Open access
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Causal Machine Learning: A Survey and Open Problems
Jean Kaddour, Aengus Lynch, Qi Liu, Matt J. Kusner +1 more
2025Found. Trends Optim.15 citations Open access
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DAG Learning on the Permutahedron
Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner +1 more
2023International Conference on Learning Representations14 citations Open access
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Questions for Flat-Minima Optimization of Modern Neural Networks
Jean Kaddour, Lin-Qing Liu, Ricardo Silva, Matt J. Kusner
2022arXiv.org12 citations
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SATISFy: Towards a Self-Learning Analyzer for Time Series Forecasting in Self-Improving Systems
Christian Krupitzer, Martin Pfannemuller, Jean Kaddour, C. Becker
20182018 IEEE 3rd International Workshops on Foundations and Applications of Self* Systems (FAS*W)9 citations
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Synthetic Data Generation in Low-Resource Settings via Fine-Tuning of Large Language Models
Jean Kaddour, Qi Liu
20238 citations
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A Fair Comparison of Two Popular Flat-Minima Optimizers: Stochastic Weight Averaging vs. Sharpness-Aware Minimization
Jean Kaddour
20227 citations
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Agentic Uncertainty Reveals Agentic Overconfidence
Jean Kaddour, Sr Patel, G. Dovonon, Leo Richter +2 more
2026arXiv.org6 citations
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Evaluating the Impact of Geometric and Statistical Skews on Out-Of-Distribution Generalization
Aengus Lynch, Jean Kaddour, Gbètondji J.-S. Dovonon, Ricardo Silva
20226 citations
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Attention Is All You Need But You Don't Need All Of It For Inference of Large Language Models
Georgy Tyukin, G. Dovonon, Jean Kaddour, Pasquale Minervini
2024arXiv.org4 citations
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Graph Intervention Networks for Causal Effect Estimation
Jean Kaddour, Qi Liu, Yuchen Zhu, Matt J. Kusner +1 more
2021arXiv.org1 citations
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Target Policy Optimization
Jean Kaddour
2026arXiv.org0 citations
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PATA: Probabilistic Active Task Acquisition
Jean Kaddour, Stefan Leutennegger
20190 citations
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Large Language Models in Real-World Table Task Workflows: A Survey
Josh Achiam, Steven Adler, Lama Sandhini Agarwal, Ilge Akkaya +144 more
0 citations
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