| Towards Continual Knowledge Learning of Language Models J Jang, S Ye, S Yang, J Shin, J Han, G Kim, SJ Choi, M Seo ICLR 2022, 2022 | 135 | 2022 |
| TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models J Jang, S Ye, C Lee, S Yang, J Shin, J Han, G Kim, M Seo EMNLP 2022, 2022 | 86 | 2022 |
| Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts J Jang, S Ye, M Seo Transfer Learning for NLP Workshop @ NeurIPS 2022, 2022 | 68 | 2022 |
| The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning S Kim, SJ Joo, D Kim, J Jang, S Ye, J Shin, M Seo EMNLP 2023, 2023 | 67 | 2023 |
| In-context instruction learning S Ye, H Hwang, S Yang, H Yun, Y Kim, M Seo AAAI 2024, 2024 | 64* | 2024 |
| Flask: Fine-grained language model evaluation based on alignment skill sets S Ye, D Kim, S Kim, H Hwang, S Kim, Y Jo, J Thorne, J Kim, M Seo ICLR 2024, 2024 | 59 | 2024 |
| Exploring the benefits of training expert language models over instruction tuning J Jang, S Kim, S Ye, D Kim, L Logeswaran, M Lee, K Lee, M Seo ICML 2023, 2023 | 59 | 2023 |
| Selfee: Iterative self-revising llm empowered by self-feedback generation S Ye, Y Jo, D Kim, S Kim, H Hwang, M Seo Blog post, 2023 | 51 | 2023 |
| Dimensional Emotion Detection from Categorical Emotion S Park, J Kim, S Ye, J Jeon, HY Park, A Oh EMNLP 2021, 2021 | 51 | 2021 |
| Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners S Ye, D Kim, J Jang, J Shin, M Seo ICLR 2023, 2023 | 34* | 2023 |
| Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning S Ye, J Kim, A Oh EMNLP 2021, 2021 | 20 | 2021 |
| Consent in Crisis: The Rapid Decline of the AI Data Commons S Longpre, R Mahari, A Lee, C Lund, H Oderinwale, W Brannon, ... NeurIPS 2024, 2024 | 15 | 2024 |
| How Do Large Language Models Acquire Factual Knowledge During Pretraining? H Chang, J Park, S Ye, S Yang, Y Seo, DS Chang, M Seo NeurIPS 2024, 2024 | 14 | 2024 |
| Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt S Ye, J Jang, D Kim, Y Jo, M Seo EMNLP 2023 Findings, 2023 | 12* | 2023 |
| Improving probability-based prompt selection through unified evaluation and analysis S Yang, J Kim, J Jang, S Ye, H Lee, M Seo TACL 2024, 2024 | 9 | 2024 |
| INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models H Oh, H Lee, S Ye, H Shin, H Jang, C Jun, M Seo arXiv preprint arXiv:2402.14334, 2024 | 6 | 2024 |
| Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards H Hwang, D Kim, S Kim, S Ye, M Seo EMNLP 2024 Findings, 2024 | 5* | 2024 |
| Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models Y Kim, J Yoon, S Ye, SJ Hwang, S Yun NAACL 2024, 2024 | 5 | 2024 |
| Instruction Matters, a Simple yet Effective Task Selection Approach in Instruction Tuning for Specific Tasks C Lee, J Han, S Ye, SJ Choi, H Lee, K Bae EMNLP 2024, 2024 | 4 | 2024 |
| The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models S Kim, J Suk, JY Cho, S Longpre, C Kim, D Yoon, G Son, Y Cho, ... arXiv preprint arXiv:2406.05761, 2024 | 1 | 2024 |
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