Joel Jang
Orcid: 0000-0002-3749-2999
According to our database1,
Joel Jang
authored at least 30 papers
between 2020 and 2024.
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Bibliography
2024
Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis.
Trans. Assoc. Comput. Linguistics, 2024
Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition.
CoRR, 2024
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models.
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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
Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.
CoRR, 2023
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
CoRR, 2022
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts.
Proceedings of the Transfer Learning for Natural Language Processing Workshop, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Sequential targeting: A continual learning approach for data imbalance in text classification.
Expert Syst. Appl., 2021
2020
Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear.
Sensors, 2020
Sequential Targeting: an incremental learning approach for data imbalance in text classification.
CoRR, 2020