Search Results for author: Donghyeon Jeon

Found 7 papers, 2 papers with code

LM-BFF-MS: Improving Few-Shot Fine-tuning of Language Models based on Multiple Soft Demonstration Memory

1 code implementation ACL 2022 Eunhwan Park, Donghyeon Jeon, Seonhoon Kim, Inho Kang, Seung-Hoon Na

LM-BFF (CITATION) achieves significant few-shot performance by using auto-generated prompts and adding demonstrations similar to an input example.

MRPC SST-2 +1

Taxonomy and Analysis of Sensitive User Queries in Generative AI Search

no code implementations5 Apr 2024 Hwiyeol Jo, Taiwoo Park, Nayoung Choi, Changbong Kim, Ohjoon Kwon, Donghyeon Jeon, Hyunwoo Lee, Eui-Hyeon Lee, Kyoungho Shin, Sun Suk Lim, Kyungmi Kim, Jihye Lee, Sun Kim

Although there has been a growing interest among industries to integrate generative LLMs into their services, limited experiences and scarcity of resources acts as a barrier in launching and servicing large-scale LLM-based conversational services.

ConcatPlexer: Additional Dim1 Batching for Faster ViTs

no code implementations22 Aug 2023 Donghoon Han, Seunghyeon Seo, Donghyeon Jeon, Jiho Jang, Chaerin Kong, Nojun Kwak

Transformers have demonstrated tremendous success not only in the natural language processing (NLP) domain but also the field of computer vision, igniting various creative approaches and applications.

AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion

no code implementations6 May 2023 Seungwoo Lee, Chaerin Kong, Donghyeon Jeon, Nojun Kwak

Recent advances in diffusion models have showcased promising results in the text-to-video (T2V) synthesis task.

MAFiD: Moving Average Equipped Fusion-in-Decoder for Question Answering over Tabular and Textual Data

1 code implementation Conference 2023 Sung-Min Lee, Eunhwan Park, Daeryong Seo, Donghyeon Jeon, Inho Kang, Seung-Hoon Na

Transformer-based models for question answering (QA) over tables and texts confront a “long” hybrid sequence over tabular and textual elements, causing long-range reasoning problems.

Question Answering

Unifying Vision-Language Representation Space with Single-tower Transformer

no code implementations21 Nov 2022 Jiho Jang, Chaerin Kong, Donghyeon Jeon, Seonhoon Kim, Nojun Kwak

Contrastive learning is a form of distance learning that aims to learn invariant features from two related representations.

Contrastive Learning Object Localization +3

Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation

no code implementations12 Oct 2022 Chaerin Kong, Donghyeon Jeon, Ohjoon Kwon, Nojun Kwak

Fashion attribute editing is a task that aims to convert the semantic attributes of a given fashion image while preserving the irrelevant regions.

Attribute Image Manipulation

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