Joel Jang

According to our database¹, Joel Jang authored at least 24 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Semiparametric Token-Sequence Co-Supervision.

[BibT_eX]

[DOI]

CoRR, 2024

LangBridge: Multilingual Reasoning Without Multilingual Supervision.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

[BibT_eX]

[DOI]

CoRR, 2023

How Well Do Large Language Models Truly Ground?

[BibT_eX]

[DOI]

CoRR, 2023

Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging.

[BibT_eX]

[DOI]

Prithviraj Ammanabrolu

CoRR, 2023

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Continually Updating Generative Retrieval on Dynamic Corpora.

[BibT_eX]

[DOI]

CoRR, 2023

Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring the Benefits of Training Expert Language Models over Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Gradient Ascent Post-training Enhances Language Model Generalization.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Knowledge Unlearning for Mitigating Privacy Risks in Language Models.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Fixed Input Parameterization for Efficient Prompting.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Retrieval of Soft Prompt Enhances Zero-Shot Task Generalization.

[BibT_eX]

[DOI]

CoRR, 2022

Prompt Injection: Parameterization of Fixed Inputs.

[BibT_eX]

[DOI]

CoRR, 2022

Music2Video: Automatic Generation of Music Video with fusion of audio and text.

[BibT_eX]

[DOI]

Joel Jang

Sumin Shin

Yoonjeon Kim

CoRR, 2022

Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts.

[BibT_eX]

[DOI]

Joel Jang

Seonghyeon Ye

Minjoon Seo

Proceedings of the Transfer Learning for Natural Language Processing Workshop, 2022

Towards Continual Knowledge Learning of Language Models.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

2020

Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear.

[BibT_eX]

[DOI]

Sensors, 2020

Sequential Targeting: an incremental learning approach for data imbalance in text classification.

[BibT_eX]

[DOI]

CoRR, 2020

Joel Jang

Timeline

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