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 | 476 | 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 | 166 | 2023 |
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 | 77 | 2021 |
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 | 76 | 2023 |
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 | 67 | 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 | 54 | 2022 |
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 | 22 | 2021 |
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 | 16 | 2022 |
Lookback lens: Detecting and mitigating contextual hallucinations in large language models using only attention maps YS Chuang, L Qiu, CY Hsieh, R Krishna, Y Kim, J Glass arXiv preprint arXiv:2407.07071, 2024 | 14 | 2024 |
Visually grounded concept composition B Zhang, H Hu, L Qiu, P Shaw, F Sha arXiv preprint arXiv:2109.14115, 2021 | 7 | 2021 |
The surprising effectiveness of test-time training for abstract reasoning E Akyürek, M Damani, L Qiu, H Guo, Y Kim, J Andreas arXiv preprint arXiv:2411.07279, 2024 | 6 | 2024 |
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective Y Ren, S Guo, L Qiu, B Wang, DJ Sutherland The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | 3* | |
Learning to Reason via Program Generation, Emulation, and Search N Weir, M Khalifa, L Qiu, O Weller, P Clark arXiv preprint arXiv:2405.16337, 2024 | 1 | 2024 |
Can Language Models Perform Implicit Bayesian Inference Over User Preference States? L Qiu, F Sha, KR Allen, Y Kim, T Linzen, S van Steenkiste The First Workshop on System-2 Reasoning at Scale, NeurIPS'24, 2024 | 1 | 2024 |