no code implementations • Findings (EMNLP) 2021 • Joonghyuk Hahn, Hyunjoon Cheon, Kyuyeol Han, Cheongjae Lee, Junseok Kim, Yo-Sub Han
We propose to use rules of grammar in self-training as a more reliable pseudo-labeling mechanism, especially when there are few labeled data.
1 code implementation • 24 Sep 2024 • Dohyeong Kim, Hyeokjin Kwon, Junseok Kim, Gunmin Lee, Songhwai Oh
As the complexity of tasks addressed through reinforcement learning (RL) increases, the definition of reward functions also has become highly complicated.
no code implementations • 16 Aug 2024 • Junseok Kim, Nakyeong Yang, Kyomin Jung
Then, Jekyll \& Hyde collects two potential solutions from role-playing and neutral prompts and selects a better solution using the LLM evaluator.
no code implementations • 18 Apr 2024 • Nakyeong Yang, Jiwon Moon, Junseok Kim, Yunah Jang, Kyomin Jung
Prompt tuning methods have shown comparable performance to general training methods as parameter-efficient fine-tuning (PEFT) methods in various natural language understanding tasks.