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Moontae Lee

According to our database¹, Moontae Lee authored at least 48 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection.

[BibT_eX]

[DOI]

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CoRR, 2024

YTCommentQA: Video Question Answerability in Instructional Videos.

[BibT_eX]

[DOI]

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers.

[BibT_eX]

[DOI]

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Code Models are Zero-shot Precondition Reasoners.

[BibT_eX]

[DOI]

Lajanugen Logeswaran

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Anthony Zhe Liu

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CoRR, 2023

Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning.

[BibT_eX]

[DOI]

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CoRR, 2023

3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation.

[BibT_eX]

[DOI]

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Dae-Woong Jeong

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CoRR, 2023

Exploring Demonstration Ensembling for In-context Learning.

[BibT_eX]

[DOI]

Muhammad Khalifa

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Lajanugen Logeswaran

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,

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CoRR, 2023

Discriminator-Guided Multi-step Reasoning with Language Models.

[BibT_eX]

[DOI]

Muhammad Khalifa

,

Lajanugen Logeswaran

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CoRR, 2023

Multimodal Subtask Graph Generation from Instructional Videos.

[BibT_eX]

[DOI]

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Lajanugen Logeswaran

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CoRR, 2023

SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations.

[BibT_eX]

[DOI]

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Geon-Hyeong Kim

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural Stochastic Differential Games for Time-series Analysis.

[BibT_eX]

[DOI]

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Proceedings of the International Conference on Machine Learning, 2023

QASA: Advanced Question Answering on Scientific Articles.

[BibT_eX]

[DOI]

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Proceedings of the International Conference on Machine Learning, 2023

Exploring the Benefits of Training Expert Language Models over Instruction Tuning.

[BibT_eX]

[DOI]

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Lajanugen Logeswaran

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Proceedings of the International Conference on Machine Learning, 2023

From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning.

[BibT_eX]

[DOI]

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Merging Generated and Retrieved Knowledge for Open-Domain QA.

[BibT_eX]

[DOI]

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Muhammad Khalifa

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Lajanugen Logeswaran

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

GRACE: Discriminator-Guided Chain-of-Thought Reasoning.

[BibT_eX]

[DOI]

Muhammad Khalifa

,

Lajanugen Logeswaran

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On Sample-Efficient Code Generation.

[BibT_eX]

[DOI]

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Seung-won Hwang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning.

[BibT_eX]

[DOI]

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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unsupervised Task Graph Generation from Instructional Video Transcripts.

[BibT_eX]

[DOI]

Lajanugen Logeswaran

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Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

When to Read Documents or QA History: On Unified and Selective Open-domain QA.

[BibT_eX]

[DOI]

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Seung-won Hwang

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Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Few-shot Reranking for Multi-hop QA via Language Model Prompting.

[BibT_eX]

[DOI]

Muhammad Khalifa

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Lajanugen Logeswaran

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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Knowledge Unlearning for Mitigating Privacy Risks in Language Models.

[BibT_eX]

[DOI]

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Lajanugen Logeswaran

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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters.

[BibT_eX]

[DOI]

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Dae-Woong Jeong

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Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Pure Transformers are Powerful Graph Learners.

[BibT_eX]

[DOI]

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Tien Dat Nguyen

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CoRR, 2022

Is Continual Learning Truly Learning Representations Continually?

[BibT_eX]

[DOI]

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CoRR, 2022

LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA.

[BibT_eX]

[DOI]

Muhammad Khalifa

,

Lajanugen Logeswaran

,

,

,

CoRR, 2022

Task-Balanced Batch Normalization for Exemplar-based Class-Incremental Learning.

[BibT_eX]

[DOI]

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,

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CoRR, 2022

Pure Transformers are Powerful Graph Learners.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition.

[BibT_eX]

[DOI]

Rodrigo Hormazabal

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Changyoung Park

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Few-shot Subgoal Planning with Language Models.

[BibT_eX]

[DOI]

Lajanugen Logeswaran

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Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Symbolic Music Loop Generation with Neural Discrete Representations.

[BibT_eX]

[DOI]

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Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules.

[BibT_eX]

[DOI]

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Dae-Woong Jeong

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Proceedings of the International Conference on Machine Learning, 2022

2021

On-the-fly Rectification for Robust Large-Vocabulary Topic Inference.

[BibT_eX]

[DOI]

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Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Prior-aware Composition Inference for Spectral Topic Models.

[BibT_eX]

[DOI]

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Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm.

[BibT_eX]

[DOI]

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Joint-Stochastic Spectral Inference for Robust Co-occurence Modeling and Latent Topic Analysis.

[BibT_eX]

PhD thesis, 2018

2017

Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models.

[BibT_eX]

[DOI]

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CoRR, 2017

2016

Basic Reasoning with Tensor Product Representations.

[BibT_eX]

[DOI]

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CoRR, 2016

Reasoning in Vector Space: An Exploratory Study of Question Answering.

[BibT_eX]

[DOI]

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Proceedings of the 4th International Conference on Learning Representations, 2016

Beyond Exchangeability: The Chinese Voting Process.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Robust Spectral Inference for Joint Stochastic Matrix Factorization.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference.

[BibT_eX]

[DOI]

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Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

TaskGenies: Automatically Providing Action Plans Helps People Complete Tasks.

[BibT_eX]

[DOI]

Nicolas Kokkalis

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,

Johannes Huebner

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Florian Schulze

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Scott R. Klemmer

ACM Trans. Comput. Hum. Interact., 2013

When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency.

[BibT_eX]

[DOI]

Armand Prieditis

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Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

2012

Automatically Providing Action Plans Helps People Complete Tasks.

[BibT_eX]

[DOI]

Nicolas Kokkalis

,

Johannes Huebner

,

,

,

,

,

Florian Schulze

,

,

Scott R. Klemmer

Proceedings of the 4th Human Computation Workshop, 2012

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