no code implementations • 10 Feb 2024 • Hyukhun Koh, Dohyung Kim, Minwoo Lee, Kyomin Jung
In the pursuit of developing Large Language Models (LLMs) that adhere to societal standards, it is imperative to discern the existence of toxicity in the generated text.
no code implementations • 23 Oct 2023 • Seongho Joo, Hyukhun Koh, Kyomin Jung
Second, the diversity among samples is neglected since the sampling procedure often focuses on a single speech sample rather than multiple ones.
no code implementations • 23 May 2023 • Minwoo Lee, Hyukhun Koh, Kang-il Lee, Dongdong Zhang, Minsung Kim, Kyomin Jung
In this paper, we specifically target the gender bias issue of multilingual machine translation models for unambiguous cases where there is a single correct translation, and propose a bias mitigation method based on a novel approach.
no code implementations • 23 Mar 2023 • Hyukhun Koh, Haesung Pyun, Nakyeong Yang, Kyomin Jung
In Task Oriented Dialogue (TOD) system, detecting and inducing new intents are two main challenges to apply the system in the real world.