Joel Jang
Orcid: 0000-0002-3749-2999
According to our database1,
Joel Jang
authored at least 26 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis.
Trans. Assoc. Comput. Linguistics, 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 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