Junmo Kang

According to our database¹, Junmo Kang authored at least 21 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts.

[BibT_eX]

[DOI]

CoRR, 2024

Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

MATE: Meet At The Embedding - Connecting Images with Long Texts.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Schema-Driven Information Extraction from Heterogeneous Tables.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Self-Specialization: Uncovering Latent Expertise within Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Self-Specialization: Uncovering Latent Expertise within Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Schema-Driven Information Extraction from Heterogeneous Tables.

[BibT_eX]

[DOI]

CoRR, 2023

Discern and Answer: Mitigating the Impact of Misinformation in Retrieval-Augmented Models with Discriminators.

[BibT_eX]

[DOI]

CoRR, 2023

Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models.

[BibT_eX]

[DOI]

Junmo Kang

Wei Xu

Alan Ritter

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

2022

Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Holistic approaches to memory solutions for the Autonomous Driving Era.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Graph-Induced Transformers for Efficient Multi-Hop Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Maximizing Efficiency of Language Model Pre-training for Learning Representation.

[BibT_eX]

[DOI]

CoRR, 2021

UHD-BERT: Bucketed Ultra-High Dimensional Sparse Representations for Full Ranking.

[BibT_eX]

[DOI]

CoRR, 2021

Have You Seen That Number? Investigating Extrapolation in Question Answering Models.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Leveraging Order-Free Tag Relations for Context-Aware Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

A Sequence-Oblivious Generation Method for Context-Aware Hashtag Recommendation.

[BibT_eX]

[DOI]

CoRR, 2020

Regularization of Distinct Strategies for Unsupervised Question Generation.

[BibT_eX]

[DOI]

Junmo Kang

Giwon Hong

Haritz Puerto San Roman

Sung-Hyon Myaeng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Handling Anomalies of Synthetic Questions in Unsupervised Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Let Me Know What to Ask: Interrogative-Word-Aware Question Generation.

[BibT_eX]

[DOI]

Junmo Kang

Haritz Puerto San Roman

Sung-Hyon Myaeng

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

Junmo Kang

Timeline

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