| What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages N Borenstein, A Svete, R Chan, J Valvoda, F Nowak, I Augenstein, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 3 | 2024 |
| A Theoretical Result on the Inductive Bias of RNN Language Models A Svete, RSM Chan, R Cotterell Findings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 3 | 2024 |
| Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained Counterfactuals R Chan, A Amini, M El-Assady Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 3 | 2023 |
| On Affine Homotopy between Language Encoders R Chan, R Boumasmoud, A Svete, Y Ren, Q Guo, Z Jin, S Ravfogel, ... Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024 | 2* | 2024 |
| Interactive Analysis of LLMs using Meaningful Counterfactuals F Cheng, V Zouhar, RSM Chan, D Fürst, H Strobelt, M El-Assady arXiv preprint arXiv:2405.00708, 2024 | 2 | 2024 |
| Adapting LLMs for Structured Natural Language API Integration R Chan, K Mirylenka, T Gschwind, C Miksovic, P Scotton, E Toniato, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
Ryan CotterellETH Zürich在 inf.ethz.ch 的电子邮件经过验证
