Junmo Kang

According to our database, Junmo Kang authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Junmo Kang, Hongyin Luo, Yada Zhu, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky

CoRR, 2023

Schema-Driven Information Extraction from Heterogeneous Tables.

Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter

CoRR, 2023

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

Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng, Joyce Jiyoung Whang

CoRR, 2023

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

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.

Jeonghwan Kim, Junmo Kang, Kyung-Min Kim, Giwon Hong, Sung-Hyon Myaeng

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

Holistic approaches to memory solutions for the Autonomous Driving Era.

Daeyong Shim, Chunseok Jeong, Euncheol Lee, Junmo Kang, Seokcheol Yoon, Yongkee Kwon, Il Park, Hyun Ahn, Seonyong Cha, Jinkook Kim

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

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

Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng

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

2021

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

Junmo Kang, Suwon Shin, Jeonghwan Kim, Jae-young Jo, Sung-Hyon Myaeng

CoRR, 2021

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

Kyoungrok Jang, Junmo Kang, Giwon Hong, Sung-Hyon Myaeng, Joohee Park, Taewon Yoon, Hee-Cheol Seo

CoRR, 2021

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

Jeonghwan Kim, Giwon Hong, Kyung-Min Kim, Junmo Kang, Sung-Hyon Myaeng

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

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

Junmo Kang, Jeonghwan Kim, Suwon Shin, Sung-Hyon Myaeng

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

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

Kyoungrok Jang, Junmo Kang, Giwon Hong, Sung-Hyon Myaeng, Joohee Park, Taewon Yoon, Hee-Cheol Seo

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

2020

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

Junmo Kang, Jeonghwan Kim, Suwon Shin, Sung-Hyon Myaeng

CoRR, 2020

Regularization of Distinct Strategies for Unsupervised Question Generation.

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.

Giwon Hong, Junmo Kang, Doyeon Lim, Sung-Hyon Myaeng

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

2019

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

Junmo Kang, Haritz Puerto San Roman, Sung-Hyon Myaeng

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