| 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 | 65 | 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 | 35 | 2022 |
| Learning nonparametric latent causal graphs with unknown interventions Y Jiang, B Aragam Advances in Neural Information Processing Systems (NeurIPS) 36, 2023 | 30 | 2023 |
| The geometry of categorical and hierarchical concepts in large language models K Park, YJ Choe, Y Jiang, V Veitch International conference on learning representations (ICLR), Oral, 2024 | 19 | 2024 |
| 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 | 16 | 2024 |
| Associative memory in iterated overparameterized sigmoid autoencoders Y Jiang, C Pehlevan International conference on machine learning (ICML), 4828-4838, 2020 | 15 | 2020 |
| Meta-learning to cluster Y Jiang, N Verma arXiv preprint arXiv:1910.14134, 2019 | 13 | 2019 |
| Uncovering meanings of embeddings via partial orthogonality Y Jiang, B Aragam, V Veitch Advances in Neural Information Processing Systems (NeurIPS) 36, 2023 | 11 | 2023 |
| Humanity's Last Exam L Phan, A Gatti, Z Han, N Li, J Hu, H Zhang, S Shi, M Choi, A Agrawal, ... arXiv preprint arXiv:2501.14249, 2025 | 6 | 2025 |
| 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 Advances in Neural Information Processing Systems (NeurIPS) 37, 2024 | 5 | 2024 |
| Model-agnostic meta-learning using runge-kutta methods DJ Im, Y Jiang, N Verma arXiv preprint arXiv:1910.07368, 2019 | 4 | 2019 |
| Quantifying generalization complexity for large language models Z Qi, H Luo, X Huang, Z Zhao, Y Jiang, X Fan, H Lakkaraju, J Glass International conference on learning representations (ICLR), 2024 | 3 | 2024 |
| Direct acquisition optimization for low-budget active learning Z Zhao, Y Jiang, Y Chen arXiv preprint arXiv:2402.06045, 2024 | 3 | 2024 |
| Beyond reward hacking: causal rewards for large language model alignment C Wang, Z Zhao, Y Jiang, Z Chen, C Zhu, Y Chen, J Liu, L Zhang, X Fan, ... arXiv preprint arXiv:2501.09620, 2025 | | 2025 |
Victor VeitchUniversity of Chicago, GoogleVerifisert e-postadresse på uchicago.edu