Generative adversarial text to image synthesis S Reed, Z Akata, X Yan, L Logeswaran, B Schiele, H Lee International conference on machine learning, 1060-1069, 2016 | 3837 | 2016 |
An efficient framework for learning sentence representations L Logeswaran, H Lee International Conference on Learning Representations, 2018 | 634 | 2018 |
Zero-shot entity linking by reading entity descriptions L Logeswaran, MW Chang, K Lee, K Toutanova, J Devlin, H Lee arXiv preprint arXiv:1906.07348, 2019 | 258 | 2019 |
Content preserving text generation with attribute controls L Logeswaran, H Lee, S Bengio Advances in Neural Information Processing Systems 31, 2018 | 131 | 2018 |
Sentence ordering and coherence modeling using recurrent neural networks L Logeswaran, H Lee, D Radev Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 126* | 2018 |
Knowledge unlearning for mitigating privacy risks in language models J Jang, D Yoon, S Yang, S Cha, M Lee, L Logeswaran, M Seo arXiv preprint arXiv:2210.01504, 2022 | 50 | 2022 |
Exploring the benefits of training expert language models over instruction tuning J Jang, S Kim, S Ye, D Kim, L Logeswaran, M Lee, K Lee, M Seo International Conference on Machine Learning, 14702-14729, 2023 | 36 | 2023 |
Few-shot subgoal planning with language models L Logeswaran, Y Fu, M Lee, H Lee arXiv preprint arXiv:2205.14288, 2022 | 17 | 2022 |
Performance, resource, and cost aware resource provisioning in the cloud L Logeswaran, HMND Bandara, HS Bhathiya 2016 IEEE 9th International Conference on Cloud Computing (CLOUD), 913-916, 2016 | 13 | 2016 |
Few-shot sequence learning with transformers L Logeswaran, A Lee, M Ott, H Lee, MA Ranzato, A Szlam arXiv preprint arXiv:2012.09543, 2020 | 12 | 2020 |
Merging generated and retrieved knowledge for open-domain QA Y Zhang, M Khalifa, L Logeswaran, M Lee, H Lee, L Wang arXiv preprint arXiv:2310.14393, 2023 | 9 | 2023 |
Discriminator-guided multi-step reasoning with language models M Khalifa, L Logeswaran, M Lee, H Lee, L Wang arXiv preprint arXiv:2305.14934, 2023 | 8 | 2023 |
Unsupervised task graph generation from instructional video transcripts L Logeswaran, S Sohn, Y Jang, M Lee, H Lee arXiv preprint arXiv:2302.09173, 2023 | 8 | 2023 |
Grace: Discriminator-guided chain-of-thought reasoning M Khalifa, L Logeswaran, M Lee, H Lee, L Wang Findings of the Association for Computational Linguistics: EMNLP 2023, 15299 …, 2023 | 7 | 2023 |
Multimodal subtask graph generation from instructional videos Y Jang, S Sohn, L Logeswaran, T Luo, M Lee, H Lee arXiv preprint arXiv:2302.08672, 2023 | 6 | 2023 |
Few-shot Reranking for Multi-hop QA via Language Model Prompting M Khalifa, L Logeswaran, M Lee, H Lee, L Wang arXiv preprint arXiv:2205.12650, 2022 | 5 | 2022 |
Learning compositional tasks from language instructions L Logeswaran, W Carvalho, H Lee Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13300 …, 2023 | 4 | 2023 |
Layered Depth Image based HEVC Multi-view Codec S Kirshanthan, L Lajanugen, PND Panagoda, LP Wijesinghe, D De Silva, ... International Symposium on Visual Computing, 2014 | 4 | 2014 |
A picture is worth a thousand words: Language models plan from pixels AZ Liu, L Logeswaran, S Sohn, H Lee arXiv preprint arXiv:2303.09031, 2023 | 3 | 2023 |
Prospector: Improving LLM agents with self-asking and trajectory ranking B Kim, Y Jang, L Logeswaran, GH Kim, YJ Kim, H Lee, M Lee | 2 | 2023 |