Junmo Kang

31 papers A* 3B 1C 1Journal 13Unranked 13
YearRankTypeTitle / Venue / Authors
2025 — conf
Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning.
ACL (1)
Mohit Raghavendra, Junmo Kang, Alan Ritter
2025 J jnl
Balancing the Budget: Understanding Trade-offs Between Supervised and Preference-Based Finetuning.
CoRR
Mohit Raghavendra, Junmo Kang, Alan Ritter
2025 A* conf
CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark.
AAAI
Marcus Ma, Duong Minh Le, Junmo Kang, Yao Dou, John Cadigan, Dayne Freitag, Alan Ritter, Wei Xu
2025 — conf
Can LLMs Help Uncover Insights about LLMs? A Large-Scale, Evolving Literature Analysis of Frontier LLMs.
ACL (1)
Jungsoo Park, Junmo Kang, Gabriel Stanovsky, Alan Ritter
2025 J jnl
Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion.
CoRR
Jacob A. Hansen, Wei Lin, Junmo Kang, Muhammad Jehanzeb Mirza, Hongyin Luo, Rogério Feris, Alan Ritter, James R. Glass, Leonid Karlinsky
2025 J jnl
Seeing the Forest for the Trees: A Large Scale, Continuously Updating Meta-Analysis of Frontier LLMs.
CoRR
Jungsoo Park, Junmo Kang, Gabriel Stanovsky, Alan Ritter
2025 A* conf
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts.
ICLR
Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, James R. Glass, David Daniel Cox, Rameswar Panda, Rogério Feris, Alan Ritter
2024 — conf
MATE: Meet At The Embedding - Connecting Images with Long Texts.
EMNLP (Findings)
Young Kyun Jang, Junmo Kang, Yong Jae Lee, Donghyun Kim
2024 J jnl
MATE: Meet At The Embedding - Connecting Images with Long Texts.
CoRR
Young Kyun Jang, Junmo Kang, Yong Jae Lee, Donghyun Kim
2024 — conf
Schema-Driven Information Extraction from Heterogeneous Tables.
EMNLP (Findings)
Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze, Alan Ritter
2024 J jnl
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts.
CoRR
Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, Jim Glass, David D. Cox, Rameswar Panda, Rogério Feris, Alan Ritter
2024 — conf
Self-Specialization: Uncovering Latent Expertise within Large Language Models.
ACL (Findings)
Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky
2024 — conf
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise.
NAACL-HLT (Findings)
Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng, Joyce Jiyoung Whang
2023 J jnl
Discern and Answer: Mitigating the Impact of Misinformation in Retrieval-Augmented Models with Discriminators.
CoRR
Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng, Joyce Jiyoung Whang
2023 — conf
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models.
ACL (1)
Junmo Kang, Wei Xu, Alan Ritter
2023 J jnl
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models.
CoRR
Junmo Kang, Wei Xu, Alan Ritter
2023 J jnl
Schema-Driven Information Extraction from Heterogeneous Tables.
CoRR
Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter
2023 J jnl
Self-Specialization: Uncovering Latent Expertise within Large Language Models.
CoRR
Junmo Kang, Hongyin Luo, Yada Zhu, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky
2022 — conf
Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering.
NAACL-HLT (Findings)
Jeonghwan Kim, Junmo Kang, Kyung-Min Kim, Giwon Hong, Sung-Hyon Myaeng
2022 A* conf
Graph-Induced Transformers for Efficient Multi-Hop Question Answering.
EMNLP
Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng
2022 C conf
Holistic approaches to memory solutions for the Autonomous Driving Era.
ISCAS
Daeyong Shim, Chunseok Jeong, Euncheol Lee, Junmo Kang, Seokcheol Yoon, Yongkee Kwon, Il Park, Hyun Ahn, Seonyong Cha, Jinkook Kim
2021 — conf
Have You Seen That Number? Investigating Extrapolation in Question Answering Models.
EMNLP (1)
Jeonghwan Kim, Giwon Hong, Kyung-Min Kim, Junmo Kang, Sung-Hyon Myaeng
2021 — conf
Leveraging Order-Free Tag Relations for Context-Aware Recommendation.
EMNLP (1)
Junmo Kang, Jeonghwan Kim, Suwon Shin, Sung-Hyon Myaeng
2021 J jnl
Maximizing Efficiency of Language Model Pre-training for Learning Representation.
CoRR
Junmo Kang, Suwon Shin, Jeonghwan Kim, Jae-young Jo, Sung-Hyon Myaeng
2021 J jnl
UHD-BERT: Bucketed Ultra-High Dimensional Sparse Representations for Full Ranking.
CoRR
Kyoungrok Jang, Junmo Kang, Giwon Hong, Sung-Hyon Myaeng, Joohee Park, Taewon Yoon, Hee-Cheol Seo
2021 — conf
Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval.
EMNLP (1)
Kyoungrok Jang, Junmo Kang, Giwon Hong, Sung-Hyon Myaeng, Joohee Park, Taewon Yoon, Hee-Cheol Seo
2020 J jnl
A Sequence-Oblivious Generation Method for Context-Aware Hashtag Recommendation.
CoRR
Junmo Kang, Jeonghwan Kim, Suwon Shin, Sung-Hyon Myaeng
2020 B conf
Handling Anomalies of Synthetic Questions in Unsupervised Question Answering.
COLING
Giwon Hong, Junmo Kang, Doyeon Lim, Sung-Hyon Myaeng
2020 — conf
Regularization of Distinct Strategies for Unsupervised Question Generation.
EMNLP (Findings)
Junmo Kang, Giwon Hong, Haritz Puerto San Roman, Sung-Hyon Myaeng
2019 — conf
Let Me Know What to Ask: Interrogative-Word-Aware Question Generation.
MRQA@EMNLP
Junmo Kang, Haritz Puerto San Roman, Sung-Hyon Myaeng
2019 J jnl
Let Me Know What to Ask: Interrogative-Word-Aware Question Generation.
CoRR
Junmo Kang, Haritz Puerto San Roman, Sung-Hyon Myaeng