Cover Image

BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guo, Quanjiang, Dong, Yihong, Tian, Ling, Kang, Zhao, Zhang, Yu, Wang, Sijie
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training
by: Guo, Quanjiang, et al.
Published: (2025)

Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction
by: Guo, Quanjiang, et al.
Published: (2025)

Named Entity Recognition for Payment Data Using NLP
by: Nayak, Srikumar
Published: (2026)

ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity Recognition
by: Riaz, Haris, et al.
Published: (2024)

Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?
by: Hashimoto, Wataru, et al.
Published: (2024)

Large Language Models Struggle in Token-Level Clinical Named Entity Recognition
by: Lu, Qiuhao, et al.
Published: (2024)

NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition
by: Merdjanovska, Elena, et al.
Published: (2024)

Few-shot Name Entity Recognition on StackOverflow
by: Chen, Xinwei, et al.
Published: (2024)

TriNER: A Series of Named Entity Recognition Models For Hindi, Bengali & Marathi
by: Dhamaskar, Mohammed Amaan, et al.
Published: (2025)

Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
by: Qiao, Qiao, et al.
Published: (2023)

CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition
by: Zhang, Yafeng, et al.
Published: (2024)

Cross-lingual Named Entity Corpus for Slavic Languages
by: Piskorski, Jakub, et al.
Published: (2024)

PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER)
by: Mancera, Gonzalo, et al.
Published: (2025)

DiZiNER: Disagreement-guided Instruction Refinement via Pilot Annotation Simulation for Zero-shot Named Entity Recognition
by: Kim, Siun, et al.
Published: (2026)

FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual Framework
by: Bouabdallaoui, Ibrahim, et al.
Published: (2025)

Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media
by: Ge, Yao, et al.
Published: (2024)

Few-Shot Knowledge Distillation of LLMs With Counterfactual Explanations
by: Hamman, Faisal, et al.
Published: (2025)

Geometry-Aware Contrastive Learning for Few-Shot Automatic Modulation Recognition
by: Zhao, Guanqun, et al.
Published: (2026)

Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction
by: Wang, Qingyun, et al.
Published: (2024)

RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization
by: Dong, Yihong, et al.
Published: (2025)

Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition
by: Tian, Chang, et al.
Published: (2024)

Zero- and Few-Shot Named-Entity Recognition: Case Study and Dataset in the Crime Domain (CrimeNER)
by: Lopez-Duran, Miguel, et al.
Published: (2026)

Group Preference Optimization: Few-Shot Alignment of Large Language Models
by: Zhao, Siyan, et al.
Published: (2023)

The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
by: Akyürek, Ekin, et al.
Published: (2024)

Few-Shot Recalibration of Language Models
by: Li, Xiang Lisa, et al.
Published: (2024)

Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning
by: Zhang, Jinchuan, et al.
Published: (2024)

Are You Being Tracked? Discover the Power of Zero-Shot Trajectory Tracing with LLMs!
by: Yang, Huanqi, et al.
Published: (2024)

Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework
by: Averly, Reza, et al.
Published: (2024)

Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification
by: Luo, Yihong, et al.
Published: (2024)

KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning
by: Gao, Cheng, et al.
Published: (2026)

Meta-Semantics Augmented Few-Shot Relational Learning
by: Wu, Han, et al.
Published: (2025)

Manual Verbalizer Enrichment for Few-Shot Text Classification
by: Nguyen, Quang Anh, et al.
Published: (2024)

Emergent Communication Pretraining for Few-Shot Machine Translation
by: Li, Yaoyiran, et al.
Published: (2020)

Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance
by: Yan, Kai, et al.
Published: (2026)

Automatic Combination of Sample Selection Strategies for Few-Shot Learning
by: Pecher, Branislav, et al.
Published: (2024)

SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition
by: Cai, Ruichu, et al.
Published: (2026)

Database Entity Recognition with Data Augmentation and Deep Learning
by: Fu, Zikun, et al.
Published: (2025)

Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models
by: Ozyurt, Yilmazcan, et al.
Published: (2023)

Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts dataset
by: Abilio, Ramon, et al.
Published: (2024)

SynthDST: Synthetic Data is All You Need for Few-Shot Dialog State Tracking
by: Kulkarni, Atharva, et al.
Published: (2024)