| Illustrating reinforcement learning from human feedback (rlhf) N Lambert, L Castricato, L von Werra, A Havrilla Hugging Face Blog 9, 2022 | 119 | 2022 |
| Arb: Advanced reasoning benchmark for large language models T Sawada, D Paleka, A Havrilla, P Tadepalli, P Vidas, A Kranias, JJ Nay, ... arXiv preprint arXiv:2307.13692, 2023 | 66 | 2023 |
| Teaching large language models to reason with reinforcement learning A Havrilla, Y Du, SC Raparthy, C Nalmpantis, J Dwivedi-Yu, ... arXiv preprint arXiv:2403.04642, 2024 | 48 | 2024 |
| trlX: A framework for large scale reinforcement learning from human feedback A Havrilla, M Zhuravinskyi, D Phung, A Tiwari, J Tow, S Biderman, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 37 | 2023 |
| Glore: When, where, and how to improve llm reasoning via global and local refinements A Havrilla, S Raparthy, C Nalmpantis, J Dwivedi-Yu, M Zhuravinskyi, ... arXiv preprint arXiv:2402.10963, 2024 | 30 | 2024 |
| Sharp Khinchin-type inequalities for symmetric discrete uniform random variables A Havrilla, T Tkocz Israel Journal of Mathematics 246 (1), 281-297, 2021 | 14 | 2021 |
| Understanding the effect of noise in llm training data with algorithmic chains of thought A Havrilla, M Iyer arXiv preprint arXiv:2402.04004, 2024 | 10 | 2024 |
| Robust preference learning for storytelling via contrastive reinforcement learning L Castricato, A Havrilla, S Matiana, M Pieler, A Ye, I Yang, S Frazier, ... arXiv preprint arXiv:2210.07792, 2022 | 10 | 2022 |
| On deep generative models for approximation and estimation of distributions on manifolds B Dahal, A Havrilla, M Chen, T Zhao, W Liao Advances in Neural Information Processing Systems 35, 10615-10628, 2022 | 8 | 2022 |
| Khinchin-type inequalities via Hadamard’s factorisation A Havrilla, P Nayar, T Tkocz International Mathematics Research Notices 2023 (3), 2429-2445, 2023 | 7 | 2023 |
| trlX: A scalable framework for RLHF, June 2023 L Castricato, A Havrilla, S Matiana, DV Phung, A Tiwari, J Tow, ... URL https://github. com/CarperAI/trlx, 0 | 7 | |
| Deep nonparametric estimation of intrinsic data structures by chart autoencoders: Generalization error and robustness H Liu, A Havrilla, R Lai, W Liao Applied and Computational Harmonic Analysis 68, 101602, 2024 | 6 | 2024 |
| Understanding scaling laws with statistical and approximation theory for transformer neural networks on intrinsically low-dimensional data A Havrilla, W Liao arXiv preprint arXiv:2411.06646, 2024 | 5 | 2024 |
| trlX: A scalable framework for RLHF L Castricato, A Havrilla, S Matiana, DV Phung, A Tiwari, J Tow, ... Zenodo. DOI 10, 2023 | 5 | 2023 |
| Illustrating Reinforcement Learning from Human Feedback (RLHF)[WWW Document] N Lambert, L Castricato, L von Werra, A Havrilla Hugging Face. URL https://huggingface. co/blog/rlhf (accessed 12.10. 23), 2022 | 5 | 2022 |
| ARB: Advanced Reasoning Benchmark for Large Language Models (2023) T Sawada, D Paleka, A Havrilla, P Tadepalli, P Vidas, A Kranias, JJ Nay, ... Publisher: arXiv Version, 0 | 5 | |
| Deep nonparametric estimation of intrinsic data structures by chart autoencoders: Generalization error and robustness H Liu, A Havrilla, R Lai, W Liao arXiv preprint arXiv:2303.09863, 2023 | 4 | 2023 |
| A study on improving reasoning in language models Y Du, A Havrilla, S Sukhbaatar, P Abbeel, R Raileanu I Can't Believe It's Not Better Workshop: Failure Modes in the Age of …, 2024 | 2 | 2024 |
| Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models A Havrilla, A Dai, L O'Mahony, K Oostermeijer, V Zisler, A Albalak, F Milo, ... arXiv preprint arXiv:2412.02980, 2024 | 1 | 2024 |
| DFU: scale-robust diffusion model for zero-shot super-resolution image generation A Havrilla, K Rojas, W Liao, M Tao arXiv preprint arXiv:2401.06144, 2023 | 1 | 2023 |
