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Jean Kaddour
Jean Kaddour
University College London
Adresă de e-mail confirmată pe ucl.ac.uk - Pagina de pornire
Titlu
Citat de
Citat de
Anul
Challenges and applications of large language models
J Kaddour, J Harris, M Mozes, H Bradley, R Raileanu, R McHardy
arXiv preprint arXiv:2307.10169, 2023
4992023
Causal machine learning: A survey and open problems
J Kaddour, A Lynch, Q Liu, MJ Kusner, R Silva
arXiv preprint arXiv:2206.15475, 2022
1902022
When Do Flat Minima Optimizers Work?
J Kaddour, L Liu, R Silva, M Kusner
NeurIPS 2022, 2022
842022
Bigcodebench: Benchmarking code generation with diverse function calls and complex instructions
TY Zhuo, MC Vu, J Chim, H Hu, W Yu, R Widyasari, INB Yusuf, H Zhan, ...
ICLR 2025 Oral, 2024
82*2024
Causal Effect Inference for Structured Treatments
J Kaddour, Y Zhu, Q Liu, MJ Kusner, R Silva
NeurIPS 2021, 2021
562021
Probabilistic Active Meta-Learning
J Kaddour, S Sæmundsson, M Deisenroth
NeurIPS 2020, 2020
492020
The minipile challenge for data-efficient language models
J Kaddour
arXiv preprint arXiv:2304.08442, 2023
482023
Are We Done with MMLU?
AP Gema, JOJ Leang, G Hong, A Devoto, ACM Mancino, R Saxena, X He, ...
NAACL 2025, 2024
41*2024
Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging
J Kaddour
NeurIPS 2022 HITY Workshop, 2022
38*2022
No train no gain: Revisiting efficient training algorithms for transformer-based language models
J Kaddour, O Key, P Nawrot, P Minervini, MJ Kusner
NeurIPS 2023, 2023
352023
Challenges and applications of large language models. arXiv 2023
J Kaddour, J Harris, M Mozes, H Bradley, R Raileanu, R McHardy
arXiv preprint arXiv:2307.10169, 0
34
Spawrious: A benchmark for fine control of spurious correlation biases
A Lynch, GJS Dovonon, J Kaddour, R Silva
arXiv preprint arXiv:2303.05470, 2023
302023
Evaluating Self-Supervised Learning for Molecular Graph Embeddings
H Wang, J Kaddour, S Liu, J Tang, J Lasenby, Q Liu
NeurIPS 2023 Datasets & Benchmarks, 2022
282022
Challenges and applications of large language models (2023)
J Kaddour, J Harris, M Mozes, H Bradley, R Raileanu, R McHardy
arXiv preprint arXiv:2307.10169 4, 2024
152024
SATISFy: Towards a self-learning analyzer for time series forecasting in self-improving systems
C Krupitzer, M Pfannemüller, J Kaddour, C Becker
2018 IEEE 3rd International Workshops on Foundations and Applications of …, 2018
142018
Early Weight Averaging meets High Learning Rates for LLM Pre-training
S Sanyal, AT Neerkaje, J Kaddour, A Kumar
NeurIPS 2023 WANT, 2023
112023
Understanding the Effectiveness of Early Weight Averaging for Training Large Language Models
S Sanyal, J Kaddour, A Kumar, S Sanghavi
COLM 2024, 2023
11*2023
DAG learning on the permutahedron
V Zantedeschi, L Franceschi, J Kaddour, M Kusner, V Niculae
ICLR 2023, 2023
112023
Causal machine learning: a survey and open problems (2022)
J Kaddour, A Lynch, Q Liu, MJ Kusner, R Silva
arXiv preprint arXiv:2206.15475, 0
11
Challenges and Applications of Large Language Models, July 2023
J Kaddour, J Harris, M Mozes, H Bradley, R Raileanu, R McHardy
URL http://arxiv. org/abs/2307 10169, 2023
102023
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