DE-NER: Zero-shot Named Entity Recognition via Dialogue Elicitation of Large Language Models

arXiv:2608.00538 · cs.CL · Submitted 2026-08-01 · Read on arXiv

Xuankang Zhang, Jiangming Liu

cs.CL

Submitted: 2026-08-01

Code: https://github.com/kkkenshi/DE-NER

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Named Entity Recognition — 17× in this paper
• Benchmark — 7× in this paper · explained in 2 episodes
• Named Entity Recognition (NER) — 6× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Generalization — 2× in this paper · explained in 14 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• In-Context Learning — 2× in this paper · explained in 7 episodes
• Language Models (LLMs) — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 9 episodes
• Multi-Agent Framework — 2× in this paper · explained in 3 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Contextual Understanding — 1× in this paper · explained in 3 episodes
• F1 Score — 1× in this paper · explained in 4 episodes
• Feature Extraction — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 3 episodes
• Multi-Agent Debate — 1× in this paper · explained in 2 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Pseudo-labels — 1× in this paper · explained in 2 episodes
• Self-Consistency — 1× in this paper · explained in 3 episodes
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Sources

• STaR-GATE: Teaching Language Models to Ask Clarifying Questions
• Language Models are Few-Shot Learners
• ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language Models
• InstructUIE: Multi-task Instruction Tuning for Unified Information Extraction
• ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT
• LLMaAA: Making Large Language Models as Active Annotators

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering