Search Results for author: Seongjin Shin

Found 3 papers, 2 papers with code

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

1 code implementation12 Oct 2023 Seungone Kim, Jamin Shin, Yejin Cho, Joel Jang, Shayne Longpre, Hwaran Lee, Sangdoo Yun, Seongjin Shin, Sungdong Kim, James Thorne, Minjoon Seo

We first construct the Feedback Collection, a new dataset that consists of 1K fine-grained score rubrics, 20K instructions, and 100K responses and language feedback generated by GPT-4.

Language Modelling Large Language Model

Two-stage Textual Knowledge Distillation for End-to-End Spoken Language Understanding

1 code implementation25 Oct 2020 Seongbin Kim, Gyuwan Kim, Seongjin Shin, Sangmin Lee

End-to-end approaches open a new way for more accurate and efficient spoken language understanding (SLU) systems by alleviating the drawbacks of traditional pipeline systems.

Ranked #3 on Spoken Language Understanding on Fluent Speech Commands (using extra training data)

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

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