Lajanugen Logeswaran
Lajanugen Logeswaran
LG AI Research
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Zitiert von
Zitiert von
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
An efficient framework for learning sentence representations
L Logeswaran, H Lee
International Conference on Learning Representations, 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
Content preserving text generation with attribute controls
L Logeswaran, H Lee, S Bengio
Advances in Neural Information Processing Systems 31, 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
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
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
Few-shot subgoal planning with language models
L Logeswaran, Y Fu, M Lee, H Lee
arXiv preprint arXiv:2205.14288, 2022
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
Grace: Discriminator-guided chain-of-thought reasoning
M Khalifa, L Logeswaran, M Lee, H Lee, L Wang
arXiv preprint arXiv:2305.14934, 2023
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
Discriminator-guided multi-step reasoning with language models
M Khalifa, L Logeswaran, M Lee, H Lee, L Wang
ArXiv, abs/2305.14934 5, 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
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
Few-shot sequence learning with transformers
L Logeswaran, A Lee, M Ott, H Lee, MA Ranzato, A Szlam
arXiv preprint arXiv:2012.09543, 2020
Unsupervised task graph generation from instructional video transcripts
L Logeswaran, S Sohn, Y Jang, M Lee, H Lee
arXiv preprint arXiv:2302.09173, 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
Learning compositional tasks from language instructions
L Logeswaran, W Carvalho, H Lee
Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13300 …, 2023
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
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
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