Haejun Lee

According to our database1, Haejun Lee authored at least 17 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Span-Selective Linear Attention Transformers for Effective and Robust Schema-Guided Dialogue State Tracking.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
You Only Need One Model for Open-domain Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Answering Open-Domain Questions of Varying Reasoning Steps from Text.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning to Generate Questions by Learning to Recover Answer-containing Sentences.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text.
CoRR, 2020

NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension.
Proceedings of the 8th International Conference on Learning Representations, 2020

SLM: Learning a Discourse Language Representation with Sentence Unshuffling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2018
On-Device Neural Language Model Based Word Prediction.
Proceedings of the COLING 2018, 2018

A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension.
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017
Building and Querying RDF/OWL Database of Semantically Annotated Nuclear Medicine Images.
J. Digit. Imaging, 2017

An Embedded Deep Learning based Word Prediction.
CoRR, 2017

Syllable-level Neural Language Model for Agglutinative Language.
Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017

2016
Quote Recommendation in Dialogue using Deep Neural Network.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2006
A Hop-by-hop Reliability Support Scheme for Wireless Sensor Networks.
Proceedings of the 4th IEEE Conference on Pervasive Computing and Communications Workshops (PerCom 2006 Workshops), 2006


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