| Beyond reverse KL: Generalizing direct preference optimization with diverse divergence constraints C Wang, Y Jiang, C Yang, H Liu, Y Chen International conference on learning representations (ICLR), Spotlight, 2023 | 30 | 2023 |
| Invariant and transportable representations for anti-causal domain shifts Y Jiang, V Veitch Advances in Neural Information Processing Systems (NeurIPS) 35, 20782-20794, 2022 | 27 | 2022 |
| Learning nonparametric latent causal graphs with unknown interventions Y Jiang, B Aragam Advances in Neural Information Processing Systems (NeurIPS) 36, 2023 | 21 | 2023 |
| Associative memory in iterated overparameterized sigmoid autoencoders Y Jiang, C Pehlevan International conference on machine learning (ICML), 4828-4838, 2020 | 14 | 2020 |
| Meta-learning to cluster Y Jiang, N Verma arXiv preprint arXiv:1910.14134, 2019 | 12 | 2019 |
| On the origins of linear representations in large language models Y Jiang, G Rajendran, P Ravikumar, B Aragam, V Veitch International conference on machine learning (ICML), 2024 | 6 | 2024 |
| Uncovering meanings of embeddings via partial orthogonality Y Jiang, B Aragam, V Veitch Advances in Neural Information Processing Systems (NeurIPS) 36, 2023 | 5 | 2023 |
| Model-agnostic meta-learning using runge-kutta methods DJ Im, Y Jiang, N Verma arXiv preprint arXiv:1910.07368, 2019 | 4 | 2019 |
| StackReader: an RNN-free reading comprehension model Y Jiang, Z Zhao Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 1 | 2018 |
| Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers Y Jiang, G Rajendran, P Ravikumar, B Aragam arXiv preprint arXiv:2406.18400, 2024 | | 2024 |
| The Geometry of Categorical and Hierarchical Concepts in Large Language Models K Park, YJ Choe, Y Jiang, V Veitch arXiv preprint arXiv:2406.01506, 2024 | | 2024 |
| Towards understanding the mechanisms of associative memory in transformers Y Jiang, G Rajendran, PK Ravikumar, B Aragam ICML 2024 Workshop on Theoretical Foundations of Foundation Models, 0 | | |
Victor VeitchUniversity of Chicago, GoogleVerified email at uchicago.edu
