| Holistic evaluation of language models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... arXiv preprint arXiv:2211.09110, 2022 | 795 | 2022 |
| Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Q Huang, H He, A Singh, SN Lim, AR Benson arXiv preprint arXiv:2010.13993, 2020 | 312 | 2020 |
| Enhancing Adversarial Example Transferability with an Intermediate Level Attack Q Huang, I Katsman, H He, Z Gu, S Belongie, SN Lim IEEE International Conference on Computer Vision (ICCV 2019), 2019 | 254 | 2019 |
| Med-Flamingo: a Multimodal Medical Few-shot Learner M Moor, Q Huang, S Wu, M Yasunaga, C Zakka, Y Dalmia, EP Reis, ... arXiv preprint arXiv:2307.15189, 2023 | 90 | 2023 |
| Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ... arXiv preprint arXiv:2307.08423, 2023 | 67 | 2023 |
| Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions E Zelikman, Q Huang, G Poesia, N Goodman, N Haber Advances in Neural Information Processing Systems 36, 2024 | 53* | 2024 |
| PRODIGY: Enabling In-context Learning Over Graphs Q Huang, H Ren, P Chen, G Kržmanc, D Zeng, P Liang, J Leskovec arXiv preprint arXiv:2305.12600, 2023 | 28 | 2023 |
| Few-shot Relational Reasoning via Connection Subgraph Pretraining Q Huang, H Ren, J Leskovec arXiv preprint arXiv:2210.06722, 2022 | 27 | 2022 |
| Edge Proposal Sets for Link Prediction A Singh, Q Huang, SL Huang, O Bhalerao, H He, SN Lim, AR Benson arXiv preprint arXiv:2106.15810, 2021 | 22 | 2021 |
| Benchmarking Large Language Models As AI Research Agents Q Huang, J Vora, P Liang, J Leskovec arXiv preprint arXiv:2310.03302, 2023 | 20 | 2023 |
| Better Set Representations For Relational Reasoning Q Huang, H He, A Singh, Y Zhang, SN Lim, A Benson Advances in Neural Information Processing Systems (NeurIPS 2020), 2020 | 18 | 2020 |
| Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness E Zelikman, Q Huang, P Liang, N Haber, ND Goodman arXiv preprint arXiv:2306.10015, 2023 | 8 | 2023 |
| Lexinvariant Language Models Q Huang, E Zelikman, SL Chen, Y Wu, G Valiant, P Liang arXiv preprint arXiv:2305.16349, 2023 | | 2023 |
| Dense Retrieval of Knowledge Graphs for Question Answering SR Nangi, M Yasunaga, H Ren, Q Huang, P Liang, J Leskovec | | 2023 |
Horace HeCornell University在 cornell.edu 的电子邮件经过验证
Horace HeCornell University在 cornell.edu 的电子邮件经过验证
Isay KatsmanPhD Student, Yale University在 yale.edu 的电子邮件经过验证