| Pure transformers are powerful graph learners J Kim, D Nguyen, S Min, S Cho, M Lee, H Lee, S Hong Advances in Neural Information Processing Systems 35, 14582-14595, 2022 | 186 | 2022 |
| Low-dimensional embeddings for interpretable anchor-based topic inference D Mimno, M Lee Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 186 | 2014 |
| 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 | 153 | 2022 |
| Prometheus 2: An open source language model specialized in evaluating other language models S Kim, J Suk, S Longpre, BY Lin, J Shin, S Welleck, G Neubig, M Lee, ... arXiv preprint arXiv:2405.01535, 2024 | 95 | 2024 |
| 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 | 64 | 2023 |
| Taskgenies: Automatically providing action plans helps people complete tasks N Kokkalis, T Köhn, J Huebner, M Lee, F Schulze, SR Klemmer ACM Transactions on Computer-Human Interaction (TOCHI) 20 (5), 1-25, 2013 | 58 | 2013 |
| Reasoning in vector space: An exploratory study of question answering M Lee, X He, W Yih, J Gao, L Deng, P Smolensky arXiv preprint arXiv:1511.06426, 2015 | 44 | 2015 |
| Basic reasoning with tensor product representations P Smolensky, M Lee, X He, W Yih, J Gao, L Deng arXiv preprint arXiv:1601.02745, 2016 | 30 | 2016 |
| Learning to unlearn: Instance-wise unlearning for pre-trained classifiers S Cha, S Cho, D Hwang, H Lee, T Moon, M Lee Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11186 …, 2024 | 26 | 2024 |
| 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 | 25 | 2023 |
| Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense S Shen, L Logeswaran, M Lee, H Lee, S Poria, R Mihalcea arXiv preprint arXiv:2405.04655, 2024 | 23 | 2024 |
| Grace: Discriminator-guided chain-of-thought reasoning M Khalifa, L Logeswaran, M Lee, H Lee, L Wang arXiv preprint arXiv:2305.14934, 2023 | 23 | 2023 |
| QASA: advanced question answering on scientific articles Y Lee, K Lee, S Park, D Hwang, J Kim, H Lee, M Lee International Conference on Machine Learning, 19036-19052, 2023 | 21 | 2023 |
| Few-shot subgoal planning with language models L Logeswaran, Y Fu, M Lee, H Lee arXiv preprint arXiv:2205.14288, 2022 | 20 | 2022 |
| Rebalancing batch normalization for exemplar-based class-incremental learning S Cha, S Cho, D Hwang, S Hong, M Lee, T Moon Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 19 | 2023 |
| Robust spectral inference for joint stochastic matrix factorization M Lee, D Bindel, D Mimno Advances in neural information processing systems 28, 2015 | 18 | 2015 |
| Discriminator-guided multi-step reasoning with language models M Khalifa, L Logeswaran, M Lee, H Lee, L Wang ArXiv, abs/2305.14934 5, 2023 | 15 | 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 | 15 | 2022 |
| 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 | 12 | 2023 |
| Transferring pre-trained multimodal representations with cross-modal similarity matching B Kim, S Choi, D Hwang, M Lee, H Lee Advances in Neural Information Processing Systems 35, 30826-30839, 2022 | 11 | 2022 |
Lajanugen LogeswaranLG AI Research確認したメール アドレス: lgresearch.ai
