Cover Image

CodeNER: Code Prompting for Named Entity Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Sungwoo, Kim, Hyeyeon, Kwon, Jingun, Kamigaito, Hidetaka, Okumura, Manabu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models
by: Juseon-Do, et al.
Published: (2024)

Considering Length Diversity in Retrieval-Augmented Summarization
by: Juseon-Do, et al.
Published: (2025)

LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty
by: Zhang, Zhen, et al.
Published: (2024)

myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS Tagging
by: Thant, Kaung Lwin, et al.
Published: (2025)

The Perplexity Paradox: Why Code Compresses Better Than Math in LLM Prompts
by: Johnson, Warren
Published: (2026)

On Fusing ChatGPT and Ensemble Learning in Discon-tinuous Named Entity Recognition in Health Corpora
by: Chen, Tzu-Chieh, et al.
Published: (2024)

NER4all or Context is All You Need: Using LLMs for low-effort, high-performance NER on historical texts. A humanities informed approach
by: Hiltmann, Torsten, et al.
Published: (2025)

OEMA: Ontology-Enhanced Multi-Agent Collaboration Framework for Zero-Shot Clinical Named Entity Recognition
by: Tao, Xinli, et al.
Published: (2025)

Retrieval-Enhanced Named Entity Recognition
by: Shiraishi, Enzo, et al.
Published: (2024)

Named Entity Recognition for Address Extraction in Speech-to-Text Transcriptions Using Synthetic Data
by: Lajčinová, Bibiána, et al.
Published: (2024)

Presumed Cultural Identity: How Names Shape LLM Responses
by: Pawar, Siddhesh, et al.
Published: (2025)

Weber's Law in Transformer Magnitude Representations: Efficient Coding, Representational Geometry, and Psychophysical Laws in Language Models
by: Cacioli, Jon-Paul
Published: (2026)

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
by: Saji, Alan, et al.
Published: (2025)

Text-Based Approaches to Item Difficulty Modeling in Large-Scale Assessments: A Systematic Review
by: Peters, Sydney, et al.
Published: (2025)

Comparative Analysis of AI Agent Architectures for Entity Relationship Classification
by: Berijanian, Maryam, et al.
Published: (2025)

NERCat: Fine-Tuning for Enhanced Named Entity Recognition in Catalan
by: Ferreres, Guillem Cadevall, et al.
Published: (2025)

Nested Named Entity Recognition as Single-Pass Sequence Labeling
by: Muñoz-Ortiz, Alberto, et al.
Published: (2025)

A Hierarchical Error Framework for Reliable Automated Coding in Communication Research: Applications to Health and Political Communication
by: Zhao, Zhilong, et al.
Published: (2025)

CodingTeachLLM: Empowering LLM's Coding Ability via AST Prior Knowledge
by: Chen, Zhangquan, et al.
Published: (2024)

Prompt-Time Symbolic Knowledge Capture with Large Language Models
by: Çöplü, Tolga, et al.
Published: (2024)

From Reading to Compressing: Exploring the Multi-document Reader for Prompt Compression
by: Choi, Eunseong, et al.
Published: (2024)

Prompt-Time Ontology-Driven Symbolic Knowledge Capture with Large Language Models
by: Çöplü, Tolga, et al.
Published: (2024)

APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification
by: Chernodub, Artem, et al.
Published: (2025)

Option-Order Randomisation Reveals a Distributional Position Attractor in Prompted Sandbagging
by: Cacioli, Jon-Paul
Published: (2026)

Efficient Code Embeddings from Code Generation Models
by: Kryvosheieva, Daria, et al.
Published: (2025)

NeuralNexus at BEA 2025 Shared Task: Retrieval-Augmented Prompting for Mistake Identification in AI Tutors
by: Naeem, Numaan, et al.
Published: (2025)

Is Evaluation Awareness Just Format Sensitivity? Limitations of Probe-Based Evidence under Controlled Prompt Structure
by: Devbunova, Viliana
Published: (2026)

Enhancing Sentiment Classification and Irony Detection in Large Language Models through Advanced Prompt Engineering Techniques
by: Schmitt, Marvin, et al.
Published: (2026)

Plan with Code: Comparing approaches for robust NL to DSL generation
by: Bassamzadeh, Nastaran, et al.
Published: (2024)

Mechanistic Understanding of Language Models in Syntactic Code Completion
by: Miller, Samuel, et al.
Published: (2025)

Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive Principles
by: Budagam, Devichand, et al.
Published: (2024)

Below-Chance Blindness: Prompted Underperformance in Small LLMs Produces Positional Bias Rather than Answer Avoidance
by: Cacioli, Jon-Paul
Published: (2026)

SPRInG: Continual LLM Personalization via Selective Parametric Adaptation and Retrieval-Interpolated Generation
by: Kim, Seoyeon, et al.
Published: (2026)

Evaluating Long Range Dependency Handling in Code Generation LLMs
by: Assogba, Yannick, et al.
Published: (2024)

Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion
by: Xu, Wenjie, et al.
Published: (2023)

Word Importance Explains How Prompts Affect Language Model Outputs
by: Hackmann, Stefan, et al.
Published: (2024)

Evaluating the Efficacy of Hybrid Deep Learning Models in Distinguishing AI-Generated Text
by: Oketunji, Abiodun Finbarrs
Published: (2023)

Exploiting LLM-as-a-Judge Disposition on Free Text Legal QA via Prompt Optimization
by: Elganayni, Mohamed Hesham, et al.
Published: (2026)

A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation
by: Bassamzadeh, Nastaran, et al.
Published: (2024)

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)