Taeuk Kim
Orcid: 0000-0001-6919-7727
According to our database1,
Taeuk Kim
authored at least 48 papers
between 2015 and 2025.
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Bibliography
2025
MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation.
CoRR, July, 2025
CoRR, June, 2025
Does Localization Inform Unlearning? A Rigorous Examination of Local Parameter Attribution for Knowledge Unlearning in Language Models.
CoRR, May, 2025
CoRR, May, 2025
Reliability Across Parametric and External Knowledge: Understanding Knowledge Handling in LLMs.
CoRR, February, 2025
Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning.
Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
CoRR, 2024
Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection.
CoRR, 2024
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator.
CoRR, 2022
HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
Multilingual Chart-based Constituency Parse Extraction from Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Optimizing Placement of Heap Memory Objects in Energy-Constrained Hybrid Memory Systems.
CoRR, 2020
Optimizing Heap Memory Object Placement in the Hybrid Memory System With Energy Constraints.
IEEE Access, 2020
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction.
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
Future Gener. Comput. Syst., 2019
CoRR, 2019
FTLADS: Object-Logging Based Fault-Tolerant Big Data Transfer System Using Layout Aware Data Scheduling.
IEEE Access, 2019
Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of The 11th Asian Conference on Machine Learning, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Dynamic Compositionality in Recursive Neural Networks with Structure-Aware Tag Representations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
NUMA-Aware Thread Scheduling for Big Data Transfers over Terabits Network Infrastructure.
Sci. Program., 2018
FT-LADS: Fault-Tolerant Object-Logging based Big Data Transfer System using Layout-Aware Data Scheduling.
CoRR, 2018
SCISPACE: A Scientific Collaboration Workspace for File Systems in Geo-Distributed HPC Data Centers.
CoRR, 2018
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018
SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018
2017
Proceedings of the First Workshop on Subword and Character Level Models in NLP, 2017
2015
Proceedings of the Image Quality and System Performance XII, 2015