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∙ 07/20/2023

FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets

Evaluation of Large Language Models (LLMs) is challenging because aligni...

0 Seonghyeon Ye, et al. ∙

∙ 05/23/2023

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Large Language Models (LLMs) have shown enhanced capabilities of solving...

0 Seungone Kim, et al. ∙

∙ 02/07/2023

Exploring the Benefits of Training Expert Language Models over Instruction Tuning

Recently, Language Models (LMs) instruction-tuned on multiple tasks, als...

8 Joel Jang, et al. ∙

∙ 10/06/2022

Retrieval of Soft Prompt Enhances Zero-Shot Task Generalization

During zero-shot inference with language models (LMs), using hard prompt...

8 Seonghyeon Ye, et al. ∙

∙ 10/06/2022

Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners

Meta-training, which fine-tunes the language model (LM) on various downs...

10 Seonghyeon Ye, et al. ∙

∙ 10/25/2020

A Survey on Churn Analysis in Various Business Domains

In this paper, we present churn prediction techniques that have been rel...

0 Jaehuyn Ahn, et al. ∙

∙ 04/25/2019

Small Target Detection for Search and Rescue Operations using Distributed Deep Learning and Synthetic Data Generation

It is important to find the target as soon as possible for search and re...

0 Kyongsik Yun, et al. ∙

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