Data augmentation using llms: Data perspectives, learning paradigms and challenges B Ding, C Qin, R Zhao, T Luo, X Li, G Chen, W Xia, J Hu, LA Tuan, S Joty Findings of the Association for Computational Linguistics ACL 2024, 1679-1705, 2024 | 86 | 2024 |
Contrastive chain-of-thought prompting YK Chia, G Chen, LA Tuan, S Poria, L Bing arXiv preprint arXiv:2311.09277, 2023 | 46 | 2023 |
How do Large Language Models Handle Multilingualism? Y Zhao, W Zhang, G Chen, K Kawaguchi, L Bing The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 39 | 2024 |
Exploring the Potential of Large Language Models in Computational Argumentation G Chen, L Cheng, LA Tuan, L Bing In Proceedings of the 62nd Annual Meeting of the Association for …, 2024 | 25 | 2024 |
Zero-Shot Text Classification via Self-Supervised Tuning C Liu, W Zhang, G Chen, X Wu, AT Luu, CH Chang, L Bing Findings of the Association for Computational Linguistics, 1743–1761, 2023 | 15 | 2023 |
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction YK Chia, H Chen, W Han, G Chen, SM Aljunied, S Poria, L Bing Proceedings of the Second Workshop on Social Influence in Conversations …, 2024 | 6 | 2024 |
Jsontuning: Towards generalizable, robust, and controllable instruction tuning C Gao, W Zhang, G Chen, W Lam arXiv preprint arXiv:2310.02953, 2023 | 5 | 2023 |
FINEREASON: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving G Chen, W Xu, H Zhang, HP Chan, C Liu, L Bing, D Zhao, AT Luu, Y Rong arXiv preprint arXiv:2502.20238, 2025 | | 2025 |
Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths YK Chia, G Chen, W Xu, LA Tuan, S Poria, L Bing Findings of the Association for Computational Linguistics: EMNLP 2024, 16763 …, 2024 | | 2024 |
From General to Expert: Custom Pruning LLMs Across Language, Domain, and Task Y Zhao, W Zhang, G Chen, K Kawaguchi, L Bing | | |