Hoefler, Torsten

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Besta, M., Blach, N., Kubicek, A., Gerstenberger, R., Podstawski, M., Gianinazzi, L., Gajda, J., Lehmann, T., Niewiadomski, H., Nyczyk, P., et al. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 556

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Besta, M., Blach, N., Kubicek, A., Gerstenberger, R., Podstawski, M., Gianinazzi, L., Gajda, J., Lehmann, T., Niewiadomski, H., Nyczyk, P., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 556

Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks

Hoefler, T., Alistarh, D., Ben-Nun, T., Dryden, N., & Peste, A. (2021) · ETH Zurich

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 423

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Frantar, E., Ashkboos, S., Hoefler, T., & Alistarh, D. (2022) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 197

Augment your batch: Improving generalization through instance repetition

Hoffer, E., Ben-Nun, T., Hubara, I., Giladi, N., Hoefler, T., & Soudry, D. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 166

Data Movement Is All You Need: A Case Study on Optimizing Transformers

Ivanov, A., Dryden, N., Ben-Nun, T., Li, S., & Hoefler, T. (2020) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 78

Taming unbalanced training workloads in deep learning with partial collective operations

Li, S., Ben-Nun, T., Girolamo, S. D., Alistarh, D., & Hoefler, T. (2020) · Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

Stochastic Gradient Optimization TechniquesParallel Computing and Optimization Techniques

Cited by 57

The Convergence of Hyperscale Data Center and High-Performance Computing Networks

Hoefler, T., Hendel, A., & Roweth, D. (2022) · Computer

Interconnection Networks and SystemsDistributed and Parallel Computing Systems

Cited by 30

Psychologically Enhanced AI Agents

Besta, M., Chandran, S., Gerstenberger, R., Lindner, M., Chrapek, M., Martschat, S. H., Ghandi, T., Iff, P., Niewiadomski, H., Nyczyk, P., et al. (2025) · arXiv

Psychiatry, Mental Health, NeuroscienceSpeech and dialogue systems

Cited by 1

Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge

Plecko, D., Okanovic, P., Havaldar, S., Hoefler, T., & Bareinboim, E. (2025) · arXiv

Topic ModelingBayesian Modeling and Causal Inference

Cited by 1