| Phi-3 technical report: A highly capable language model locally on your phone M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ... arXiv preprint arXiv:2404.14219, 2024 | 792 | 2024 |
| Textbooks are all you need S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ... arXiv preprint arXiv:2306.11644, 2023 | 561 | 2023 |
| Convolutional Image Captioning J Aneja, A Deshpande, A Schwing Accepted to CVPR-2018, 2017 | 479 | 2017 |
| Phi-2: The surprising power of small language models M Javaheripi, S Bubeck, M Abdin, J Aneja, S Bubeck, CCT Mendes, ... Microsoft Research Blog 1 (3), 3, 2023 | 211 | 2023 |
| Fast, diverse and accurate image captioning guided by part-of-speech A Deshpande, J Aneja, L Wang, AG Schwing, D Forsyth Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 176 | 2019 |
| Elevater: A benchmark and toolkit for evaluating language-augmented visual models C Li, H Liu, L Li, P Zhang, J Aneja, J Yang, P Jin, H Hu, Z Liu, YJ Lee, ... Advances in Neural Information Processing Systems 35, 9287-9301, 2022 | 149 | 2022 |
| A contrastive learning approach for training variational autoencoder priors J Aneja, A Schwing, J Kautz, A Vahdat Advances in neural information processing systems 34, 480-493, 2021 | 89 | 2021 |
| Sequential latent spaces for modeling the intention during diverse image captioning J Aneja, H Agrawal, D Batra, A Schwing Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 77 | 2019 |
| Explaining patterns in data with language models via interpretable autoprompting C Singh, JX Morris, J Aneja, AM Rush, J Gao arXiv preprint arXiv:2210.01848, 2022 | 32 | 2022 |
| NCP-VAE: Variational autoencoders with noise contrastive priors J Aneja, A Schwing, J Kautz, A Vahdat | 29 | 2020 |
| Diverse and controllable image captioning with part-of-speech guidance A Deshpande, J Aneja, L Wang, A Schwing, DA Forsyth arXiv preprint arXiv:1805.12589 2 (8), 2018 | 27 | 2018 |
| Phi-3 technical report: A highly capable language model locally on your phone, 2024 M Abdin, J Aneja, H Awadalla, A Awadallah, AA Awan, N Bach, A Bahree, ... URL https://arxiv. org/abs/2404.14219, 2024 | 26 | 2024 |
| Textbooks Are All You Need (2023) S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ... arXiv preprint arXiv:2306.11644, 2023 | 24 | 2023 |
| Phi-4 technical report M Abdin, J Aneja, H Behl, S Bubeck, R Eldan, S Gunasekar, M Harrison, ... arXiv preprint arXiv:2412.08905, 2024 | 20 | 2024 |
| Textbooks are all you need. CoRR, abs/2306.11644, 2023. doi: 10.48550 S Gunasekar, Y Zhang, J Aneja, CCT Mendes, AD Giorno, S Gopi, ... arXiv preprint ARXIV.2306.11644, 0 | 11 | |
| Textbooks are all you need. arXiv S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ... arXiv preprint arXiv.2306.11644, 2023 | 10 | 2023 |
| Explaining data patterns in natural language with language models C Singh, JX Morris, J Aneja, AM Rush, J Gao Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting …, 2023 | 6 | 2023 |
| Schwing Alexander G., and Forsyth David. 2019 D Aditya, A Jyoti, W Liwei Fast, diverse and accurate image captioning guided by part-of-speech. In …, 0 | 5 | |
| Textbooks Are All You Need. CoRR abs/2306.11644 (2023) S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ... | 4 | 2023 |
| Fast, diverse and accurate image captioning guided by part-of-speech D Aditya, A Jyoti, W Liwei, AG Schwing, D Forsyth Proceedings of the 32nd IEEE Conference on Computer Vision and Pattern …, 2019 | 4 | 2019 |
Alexander SchwingUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
