| Quasi-Dense Similarity Learning for Multiple Object Tracking J Pang, L Qiu, X Li, H Chen, Q Li, T Darrell, F Yu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 342 | 2021 |
| Improving compositional generalization with latent structure and data augmentation L Qiu, P Shaw, P Pasupat, PK Nowak, T Linzen, F Sha, K Toutanova arXiv preprint arXiv:2112.07610, 2021 | 57 | 2021 |
| Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks Z Wu, L Qiu, A Ross, E Akyürek, B Chen, B Wang, N Kim, J Andreas, ... arXiv preprint arXiv:2307.02477, 2023 | 54 | 2023 |
| Evaluating the impact of model scale for compositional generalization in semantic parsing L Qiu, P Shaw, P Pasupat, T Shi, J Herzig, E Pitler, F Sha, K Toutanova arXiv preprint arXiv:2205.12253, 2022 | 44 | 2022 |
| Qdtrack: Quasi-dense similarity learning for appearance-only multiple object tracking T Fischer, TE Huang, J Pang, L Qiu, H Chen, T Darrell, F Yu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 31 | 2023 |
| Systematic generalization on gscan: What is nearly solved and what is next? L Qiu, H Hu, B Zhang, P Shaw, F Sha arXiv preprint arXiv:2109.12243, 2021 | 15 | 2021 |
| Phenomenal yet puzzling: Testing inductive reasoning capabilities of language models with hypothesis refinement L Qiu, L Jiang, X Lu, M Sclar, V Pyatkin, C Bhagavatula, B Wang, Y Kim, ... arXiv preprint arXiv:2310.08559, 2023 | 12 | 2023 |
| Generate-and-retrieve: Use your predictions to improve retrieval for semantic parsing Y Zemlyanskiy, M de Jong, J Ainslie, P Pasupat, P Shaw, L Qiu, ... arXiv preprint arXiv:2209.14899, 2022 | 11 | 2022 |
| Visually grounded concept composition B Zhang, H Hu, L Qiu, P Shaw, F Sha arXiv preprint arXiv:2109.14115, 2021 | 4 | 2021 |
| Language Model Evolution: An Iterated Learning Perspective Y Ren, S Guo, L Qiu, B Wang, DJ Sutherland arXiv preprint arXiv:2404.04286, 2024 | | 2024 |
