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Moontae Lee
Moontae Lee
Assistant Professor of Information Decision Sciences, UIC Business School, University of Illinois at Chicago
Zweryfikowany adres z uic.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
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
2172022
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
1862014
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
1842022
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
1322024
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
662023
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
592013
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
442015
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
302024
Basic reasoning with tensor product representations
P Smolensky, M Lee, X He, W Yih, J Gao, L Deng
arXiv preprint arXiv:1601.02745, 2016
292016
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
262024
Grace: Discriminator-guided chain-of-thought reasoning
M Khalifa, L Logeswaran, M Lee, H Lee, L Wang
arXiv preprint arXiv:2305.14934, 2023
262023
Dallas Card, and David Jurgens. 2023. You don’t need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric …
B Shu, L Zhang, M Choi, L Dunagan, L Logeswaran, M Lee
arXiv preprint arXiv:2311.09718, 2023
252023
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
232023
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
222023
Few-shot subgoal planning with language models
L Logeswaran, Y Fu, M Lee, H Lee
arXiv preprint arXiv:2205.14288, 2022
212022
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
202023
Small language models need strong verifiers to self-correct reasoning
Y Zhang, M Khalifa, L Logeswaran, J Kim, M Lee, H Lee, L Wang
arXiv preprint arXiv:2404.17140, 2024
182024
Robust spectral inference for joint stochastic matrix factorization
M Lee, D Bindel, D Mimno
Advances in neural information processing systems 28, 2015
172015
Discriminator-guided multi-step reasoning with language models
M Khalifa, L Logeswaran, M Lee, H Lee, L Wang
arXiv preprint arXiv:2305.14934, 2023
152023
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
152022
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