Cover Image

Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cho, Hojun, Kim, Donghu, Yang, Soyoung, Lee, Chan, Lee, Hunjoo, Choo, Jaegul
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation
by: Yang, Soyoung, et al.
Published: (2024)

Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
by: Kim, Donghu, et al.
Published: (2024)

Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts
by: Park, ChaeHun, et al.
Published: (2024)

Do's and Don'ts: Learning Desirable Skills with Instruction Videos
by: Kim, Hyunseung, et al.
Published: (2024)

Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
by: Lee, Hojoon, et al.
Published: (2024)

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models
by: Park, Cheonbok, et al.
Published: (2025)

Talk to Your Slides: High-Efficiency Slide Editing via Language-Driven Structured Data Manipulation
by: Jung, Kyudan, et al.
Published: (2025)

Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method
by: Kim, Taehee, et al.
Published: (2026)

Optimizing Language Augmentation for Multilingual Large Language Models: A Case Study on Korean
by: Choi, ChangSu, et al.
Published: (2024)

Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark
by: Park, Chanjun, et al.
Published: (2024)

Expanding Foundational Language Capabilities in Open-Source LLMs through a Korean Case Study
by: Lim, Junghwan, et al.
Published: (2025)

Obfuscation Rules for Detecting and Detoxifying Korean Toxicity
by: Lee, Yejin, et al.
Published: (2025)

Theme-Explanation Structure for Table Summarization using Large Language Models: A Case Study on Korean Tabular Data
by: Kwack, TaeYoon, et al.
Published: (2025)

KMI: A Dataset of Korean Motivational Interviewing Dialogues for Psychotherapy
by: Kim, Hyunjong, et al.
Published: (2025)

Thunder-Tok: Minimizing Tokens per Word in Tokenizing Korean Texts for Generative Language Models
by: Cho, Gyeongje, et al.
Published: (2025)

KVoiceBench, KOpenAudioBench, and KMMAU: Agent-Driven Korean Speech Benchmarks for Evaluating SpeechLMs
by: Kim, Haechan, et al.
Published: (2026)

Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
by: Gwak, Daehoon, et al.
Published: (2024)

Nunchi-Bench: Benchmarking Language Models on Cultural Reasoning with a Focus on Korean Superstition
by: Kim, Kyuhee, et al.
Published: (2025)

KoBBQ: Korean Bias Benchmark for Question Answering
by: Jin, Jiho, et al.
Published: (2023)

EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
by: Kim, Jinhee, et al.
Published: (2024)

Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction
by: Kim, Hongjin, et al.
Published: (2026)

Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric
by: Koh, Hyukhun, et al.
Published: (2024)

SCRIPT: A Subcharacter Compositional Representation Injection Module for Korean Pre-Trained Language Models
by: Kim, SungHo, et al.
Published: (2026)

KFinEval-Pilot: A Comprehensive Benchmark Suite for Korean Financial Language Understanding
by: Hwang, Bokwang, et al.
Published: (2025)

A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
by: Lee, Andrew, et al.
Published: (2024)

KOMBO: Korean Character Representations Based on the Combination Rules of Subcharacters
by: Kim, SungHo, et al.
Published: (2026)

KoCoSa: Korean Context-aware Sarcasm Detection Dataset
by: Kim, Yumin, et al.
Published: (2024)

Open Ko-LLM Leaderboard2: Bridging Foundational and Practical Evaluation for Korean LLMs
by: Kim, Hyeonwoo, et al.
Published: (2024)

Dynamic Mixture of Experts Against Severe Distribution Shifts
by: Kim, Donghu
Published: (2025)

Polishing Every Facet of the GEM: Testing Linguistic Competence of LLMs and Humans in Korean
by: Kim, SungHo, et al.
Published: (2025)

Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents
by: Kim, San, et al.
Published: (2024)

FunctionChat-Bench: Comprehensive Evaluation of Language Models' Generative Capabilities in Korean Tool-use Dialogs
by: Lee, Shinbok, et al.
Published: (2024)

DSG-KD: Knowledge Distillation from Domain-Specific to General Language Models
by: Cho, Sangyeon, et al.
Published: (2024)

GECKO: Generative Language Model for English, Code and Korean
by: Oh, Sungwoo, et al.
Published: (2024)

Enhancing Building Semantics Preservation in AI Model Training with Large Language Model Encodings
by: Jang, Suhyung, et al.
Published: (2026)

ECRC: Emotion-Causality Recognition in Korean Conversation for GCN
by: Lee, J. K., et al.
Published: (2024)

TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models
by: Kim, Jeongho, et al.
Published: (2024)

LegalMidm: Use-Case-Driven Legal Domain Specialization for Korean Large Language Model
by: Jang, Youngjoon, et al.
Published: (2026)

From KMMLU-Redux to KMMLU-Pro: A Professional Korean Benchmark Suite for LLM Evaluation
by: Hong, Seokhee, et al.
Published: (2025)

SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
by: Lee, Hojoon, et al.
Published: (2024)