Jay-Yoon Lee

According to our database1, Jay-Yoon Lee authored at least 34 papers between 2013 and 2024.

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Bibliography

2024
Toward Robust RALMs: Revealing the Impact of Imperfect Retrieval on Retrieval-Augmented Language Models.
CoRR, 2024

IntGrad MT: Eliciting LLMs' Machine Translation Capabilities with Sentence Interpolation and Gradual MT.
CoRR, 2024

QE-EBM: Using Quality Estimators as Energy Loss for Machine Translation.
CoRR, 2024

Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning.
CoRR, 2024

Locate&Edit: Energy-based Text Editing for Efficient, Flexible, and Faithful Controlled Text Generation.
CoRR, 2024

An Analysis under a Unified Fomulation of Learning Algorithms with Output Constraints.
CoRR, 2024

Case-Based Reasoning Approach for Solving Financial Question Answering.
CoRR, 2024

Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval.
CoRR, 2024

Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Efficient Visual-Language Alignment of the Q-Former for Visual Reasoning Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

An Analysis under a Unified Formulation of Learning Algorithms with Output Constraints.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023
Multistage Collaborative Knowledge Distillation from Large Language Models.
CoRR, 2023

Machine Reading Comprehension using Case-based Reasoning.
CoRR, 2023

Machine Reading Comprehension using Case-based Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Learning from a Friend: Improving Event Extraction via Self-Training with Feedback from Abstract Meaning Representation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Structured Energy Network As a Loss.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Modeling Label Space Interactions in Multi-label Classification using Box Embeddings.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning.
Proceedings of the International Conference on Automated Machine Learning, 2022

Event-Event Relation Extraction using Probabilistic Box Embedding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Improved Latent Tree Induction with Distant Supervision via Span Constraints.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Case-based Reasoning for Natural Language Queries over Knowledge Bases.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

StructSum: Summarization via Structured Representations.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization.
CoRR, 2020

Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Gradient-Based Inference for Networks with Output Constraints.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Towards Semi-Supervised Learning for Deep Semantic Role Labeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Enforcing Constraints on Outputs with Unconstrained Inference.
CoRR, 2017

Enforcing Output Constraints via SGD: A Step Towards Neural Lagrangian Relaxation.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2014
Influence Propagation: Patterns, Model and a Case Study.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Net-Ray: Visualizing and Mining Billion-Scale Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013
Fast anomaly detection despite the duplicates.
Proceedings of the 22nd International World Wide Web Conference, 2013



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