Search Results for author: JunSeong Kim

Found 4 papers, 2 papers with code

Linq-Embed-Mistral Technical Report

no code implementations4 Dec 2024 Chanyeol Choi, JunSeong Kim, Seolhwa Lee, Jihoon Kwon, Sangmo Gu, Yejin Kim, Minkyung Cho, Jy-yong Sohn

This report explores the enhancement of text retrieval performance using advanced data refinement techniques.

Text Retrieval

Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses

1 code implementation27 Feb 2024 Juyeon Kim, Jeongeun Lee, Yoonho Chang, Chanyeol Choi, JunSeong Kim, Jy-yong Sohn

In addition to the explanation step, Re-Ex also incorporates new prompting techniques to reduce the token count and inference time required for the response revision process.

Hallucination

Can Separators Improve Chain-of-Thought Prompting?

no code implementations16 Feb 2024 Yoonjeong Park, HyunJin Kim, Chanyeol Choi, JunSeong Kim, Jy-yong Sohn

The basic idea of CoT is to let LLMs break down their thought processes step-by-step by putting exemplars in the input prompt.

8k GSM8K

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