| Fine-grained human feedback gives better rewards for language model training Z Wu, Y Hu, W Shi, N Dziri, A Suhr, P Ammanabrolu, NA Smith, ... Advances in Neural Information Processing Systems 36, 2024 | 297* | 2024 |
| One embedder, any task: Instruction-finetuned text embeddings H Su, W Shi, J Kasai, Y Wang, Y Hu, M Ostendorf, W Yih, NA Smith, ... arXiv preprint arXiv:2212.09741, 2022 | 295 | 2022 |
| Binding language models in symbolic languages Z Cheng, T Xie, P Shi, C Li, R Nadkarni, Y Hu, C Xiong, D Radev, ... arXiv preprint arXiv:2210.02875, 2022 | 192 | 2022 |
| Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering Y Hu, B Liu, J Kasai, Y Wang, M Ostendorf, R Krishna, NA Smith Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 179 | 2023 |
| Promptcap: Prompt-guided image captioning for vqa with gpt-3 Y Hu, H Hua, Z Yang, W Shi, NA Smith, J Luo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 152* | 2023 |
| In-context learning for few-shot dialogue state tracking Y Hu, CH Lee, T Xie, T Yu, NA Smith, M Ostendorf arXiv preprint arXiv:2203.08568, 2022 | 123 | 2022 |
| Blink: Multimodal large language models can see but not perceive X Fu, Y Hu, B Li, Y Feng, H Wang, X Lin, D Roth, NA Smith, WC Ma, ... European Conference on Computer Vision, 148-166, 2024 | 109 | 2024 |
| Davidsonian scene graph: Improving reliability in fine-grained evaluation for text-to-image generation J Cho, Y Hu, R Garg, P Anderson, R Krishna, J Baldridge, M Bansal, ... arXiv preprint arXiv:2310.18235, 2023 | 78 | 2023 |
| Visual program distillation: Distilling tools and programmatic reasoning into vision-language models Y Hu, O Stretcu, CT Lu, K Viswanathan, K Hata, E Luo, R Krishna, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 36 | 2024 |
| Freestanding Ferroelectric Bubble Domains SR Bakaul, S Prokhorenko, Q Zhang, Y Nahas, Y Hu, A Petford-Long, ... Advanced materials (Deerfield Beach, Fla.), e2105432, 2021 | 35 | 2021 |
| Visual sketchpad: Sketching as a visual chain of thought for multimodal language models Y Hu, W Shi, X Fu, D Roth, M Ostendorf, L Zettlemoyer, NA Smith, ... arXiv preprint arXiv:2406.09403, 2024 | 32 | 2024 |
| Dreamsync: Aligning text-to-image generation with image understanding feedback J Sun, D Fu, Y Hu, S Wang, R Rassin, DC Juan, D Alon, C Herrmann, ... arXiv preprint arXiv:2311.17946, 2023 | 28 | 2023 |
| Multilingual jointly trained acoustic and written word embeddings Y Hu, S Settle, K Livescu Interspeech 2020, 1052-1056, 2020 | 28 | 2020 |
| Acoustic span embeddings for multilingual query-by-example search Y Hu, S Settle, K Livescu 2021 IEEE Spoken Language Technology Workshop (SLT), 935-942, 2021 | 15 | 2021 |
| Decoding-time language model alignment with multiple objectives R Shi, Y Chen, Y Hu, A Liu, H Hajishirzi, NA Smith, SS Du Advances in Neural Information Processing Systems 37, 48875-48920, 2024 | 14 | 2024 |
| Training language models to generate text with citations via fine-grained rewards C Huang, Z Wu, Y Hu, W Wang arXiv preprint arXiv:2402.04315, 2024 | 14 | 2024 |
| Two Watts is all you need: enabling in-detector real-time machine learning for neutrino telescopes via edge computing M Jin, Y Hu, CA Argüelles Journal of Cosmology and Astroparticle Physics 2024 (06), 026, 2024 | 5 | 2024 |
| A simple setup to measure muon lifetime and electron energy spectrum of muon decay and its Monte Carlo simulation Y Hu, T Wang, Y Mei, Z Zhang, C Ning arXiv preprint arXiv:1608.06936, 2016 | 3 | 2016 |
| Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation KM Collins, N Kim, Y Bitton, V Rieser, S Omidshafiei, Y Hu, S Chen, ... Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 293-303, 2024 | 2 | 2024 |
| Unsupervised Learning of Hierarchical Conversation Structure BR Lu, Y Hu, H Cheng, NA Smith, M Ostendorf arXiv preprint arXiv:2205.12244, 2022 | 1 | 2022 |
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceE-mail megerősítve itt: cs.washington.edu