Cover Image

Evaluation of the Automated Labeling Method for Taxonomic Nomenclature Through Prompt-Optimized Large Language Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Inoshita, Keito, Nojiri, Kota, Sugeno, Haruto, Taga, Takumi
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

Persona-Based Synthetic Data Generation Using Multi-Stage Conditioning with Large Language Models for Emotion Recognition
by: Inoshita, Keito, et al.
Published: (2025)

Multi-Stage Evolutionary Model Merging with Meta Data Driven Curriculum Learning for Sentiment-Specialized Large Language Modeling
by: Inoshita, Keito, et al.
Published: (2026)

Multi-Agent Large Language Model Based Emotional Detoxification Through Personalized Intensity Control for Consumer Protection
by: Inoshita, Keito
Published: (2026)

Nationality and Region Prediction from Names: A Comparative Study of Neural Models and Large Language Models
by: Inoshita, Keito
Published: (2026)

Who Does This Name Remind You of ? Nationality Prediction via Large Language Model Associative Memory
by: Inoshita, Keito
Published: (2026)

LCES: Zero-shot Automated Essay Scoring via Pairwise Comparisons Using Large Language Models
by: Shibata, Takumi, et al.
Published: (2025)

Are Large Language Models Good Prompt Optimizers?
by: Ma, Ruotian, et al.
Published: (2024)

Uncertainty Decomposition via Cyclical SG-MCMC and Soft-label Learning for Subjective NLP
by: Inoshita, Keito, et al.
Published: (2026)

Bayesian Spectral Emotion Transition Discovery from Multi-Annotator Disagreement
by: Inoshita, Keito, et al.
Published: (2026)

Fairness in Large Language Models: A Taxonomic Survey
by: Chu, Zhibo, et al.
Published: (2024)

Role-Playing LLM-Based Multi-Agent Support Framework for Detecting and Addressing Family Communication Bias
by: Harada, Rushia, et al.
Published: (2025)

Prompt and Parameter Co-Optimization for Large Language Models
by: Bo, Xiaohe, et al.
Published: (2025)

World model inspired sarcasm reasoning with large language model agents
by: Inoshita, Keito, et al.
Published: (2025)

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
by: Murthy, Rithesh, et al.
Published: (2025)

A Multi-faceted Analysis of Cognitive Abilities: Evaluating Prompt Methods with Large Language Models on the CONSORT Checklist
by: Jeon, Sohyeon, et al.
Published: (2025)

ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
by: Zhang, Qing, et al.
Published: (2025)

MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
by: Chen, Yuyan, et al.
Published: (2024)

Robust Prompt Optimization for Large Language Models Against Distribution Shifts
by: Li, Moxin, et al.
Published: (2023)

Evaluating the Prompt Steerability of Large Language Models
by: Miehling, Erik, et al.
Published: (2024)

A Multi-Agent Probabilistic Inference Framework Inspired by Kairanban-Style CoT System with IdoBata Conversation for Debiasing
by: Ueno, Takato, et al.
Published: (2025)

Rethinking Toxicity Evaluation in Large Language Models: A Multi-Label Perspective
by: Kou, Zhiqiang, et al.
Published: (2025)

Quantifying Label-Induced Bias in Large Language Model Self- and Cross-Evaluations
by: Saraf, Muskan, et al.
Published: (2025)

Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models
by: Mahmud, Saaduddin, et al.
Published: (2025)

A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2024)

Exploring Prompt-Based Methods for Zero-Shot Hypernym Prediction with Large Language Models
by: Tikhomirov, Mikhail, et al.
Published: (2024)

SpatialPrompting: Keyframe-driven Zero-Shot Spatial Reasoning with Off-the-Shelf Multimodal Large Language Models
by: Taguchi, Shun, et al.
Published: (2025)

LLMs Capture Emotion Labels, Not Emotion Uncertainty: Distributional Analysis and Calibration of Human-LLM Judgment Gaps
by: Inoshita, Keito, et al.
Published: (2026)

PromptBridge: Cross-Model Prompt Transfer for Large Language Models
by: Wang, Yaxuan, et al.
Published: (2025)

Agent-Based Uncertainty Awareness Improves Automated Radiology Report Labeling with an Open-Source Large Language Model
by: Ben-Atya, Hadas, et al.
Published: (2025)

Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach
by: Li, Ruizhe, et al.
Published: (2025)

Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
by: Zhou, Kevin, et al.
Published: (2025)

When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language Models
by: Shamsi, Zafir, et al.
Published: (2026)

CROP: Token-Efficient Reasoning in Large Language Models via Regularized Prompt Optimization
by: Shah, Deep, et al.
Published: (2026)

An Evaluation of Large Language Models on Text Summarization Tasks Using Prompt Engineering Techniques
by: Aly, Walid Mohamed, et al.
Published: (2025)

Prompt Compression in Diffusion Large Language Models: Evaluating LLMLingua-2 on LLaDA
by: Huang, Sterling, et al.
Published: (2026)

LETToT: Label-Free Evaluation of Large Language Models On Tourism Using Expert Tree-of-Thought
by: Qi, Ruiyan, et al.
Published: (2025)

Evaluating and Optimizing Educational Content with Large Language Model Judgments
by: He-Yueya, Joy, et al.
Published: (2024)

Cross-Modal Taxonomic Generalization in (Vision-) Language Models
by: Xu, Tianyang, et al.
Published: (2026)

Large Language Models Prompting With Episodic Memory
by: Do, Dai, et al.
Published: (2024)

On the Worst Prompt Performance of Large Language Models
by: Cao, Bowen, et al.
Published: (2024)