Youngjae Yu

CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents

2023 · arXiv (Cornell University)

In this paper, we focus on inferring whether the given user command is clear, ambiguous, or infeasible in the context of interactive robotic agents utilizing large language models (LLMs). To tackle this problem, we first …

Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step

2023 · arXiv (Cornell University)

Chain-of-thought prompting (e.g., "Let's think step-by-step") primes large language models to verbalize rationalization for their predictions. While chain-of-thought can lead to dramatic performance gains, benefits appear to emerge only for sufficiently large models (beyond 50B …

Are Any-to-Any Models More Consistent Across Modality Transfers Than Specialists?

2025

Jiwan Chung, Janghan Yoon, Junhyeong Park, Sangeyl Lee, Joowon Yang, Sooyeon Park, Youngjae Yu. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.