activity
20182026
most citedKitchenScale: Learning to predict ingredient quantities from recipe contexts

12 citations · 24 across the 10 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CL2024

Culinary Class Wars: Evaluating LLMs using ASH in Cuisine Transfer Task

Hoonick Lee, Mogan Gim, Donghyeon Park +2

The advent of Large Language Models (LLMs) have shown promise in various creative domains, including culinary arts. However, many LLMs still struggle to deliver the desired level o…

cs.CE2024★ 1 cited

DeepClair: Utilizing Market Forecasts for Effective Portfolio Selection

Donghee Choi, Jinkyu Kim, Mogan Gim +2

Utilizing market forecasts is pivotal in optimizing portfolio selection strategies. We introduce DeepClair, a novel framework for portfolio selection. DeepClair leverages a transfo…

cs.CL2024

LAPIS: Language Model-Augmented Police Investigation System

Heedou Kim, Dain Kim, Jiwoo Lee +4

Crime situations are race against time. An AI-assisted criminal investigation system, providing prompt but precise legal counsel is in need for police officers. We introduce LAPIS…

cs.AI2024

CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions

Donghee Choi, Mogan Gim, Donghyeon Park +4

This paper introduces CookingSense, a descriptive collection of knowledge assertions in the culinary domain extracted from various sources, including web data, scientific papers, a…

cs.CL2024★ 5 cited

Small Language Models Learn Enhanced Reasoning Skills from Medical Textbooks

Hyunjae Kim, Hyeon Hwang, Jiwoo Lee +7

While recent advancements in commercial large language models (LM) have shown promising results in medical tasks, their closed-source nature poses significant privacy and security…