Copertina

APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Qian, Kun, Sang, Yisi, Bayat, Farima Fatahi, Belyi, Anton, Chu, Xianqi, Govind, Yash, Khorshidi, Samira, Khot, Rahul, Luna, Katherine, Nikfarjam, Azadeh, Qi, Xiaoguang, Wu, Fei, Zhang, Xianhan, Li, Yunyao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

ODKE+: Ontology-Guided Open-Domain Knowledge Extraction with LLMs
di: Khorshidi, Samira, et al.
Pubblicazione: (2025)

Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding
di: Liu, Xin, et al.
Pubblicazione: (2024)

From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models
di: Bayat, Farima Fatahi, et al.
Pubblicazione: (2025)

FactBench: A Dynamic Benchmark for In-the-Wild Language Model Factuality Evaluation
di: Bayat, Farima Fatahi, et al.
Pubblicazione: (2024)

Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression
di: Bayat, Farima Fatahi, et al.
Pubblicazione: (2024)

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
di: Zhang, Yunxiang, et al.
Pubblicazione: (2025)

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training
di: Zhang, Yunxiang, et al.
Pubblicazione: (2025)

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

Portal annular pancreas: a rare surgical challenge
di: Ferhat Arabaci, et al.
Pubblicazione: (2025)

Few-shot Named Entity Recognition via Superposition Concept Discrimination
di: Chen, Jiawei, et al.
Pubblicazione: (2024)

Training-free LLM Verification via Recycling Few-shot Examples
di: Lee, Dongseok, et al.
Pubblicazione: (2025)

What Makes Good Few-shot Examples for Vision-Language Models?
di: Guo, Zhaojun, et al.
Pubblicazione: (2024)

Medical Incident Causal Factors and Preventive Measures Generation Using Tag-based Example Selection in Few-shot Learning
di: Haseyama, Yuna, et al.
Pubblicazione: (2026)

Few-shot text-based emotion detection
di: Marchitan, Teodor-George, et al.
Pubblicazione: (2025)

Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
di: Liu, Mushui, et al.
Pubblicazione: (2024)

Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction
di: Wang, Xiaokai, et al.
Pubblicazione: (2025)

Gaussian Process Latent Variable Modeling for Few-shot Time Series Forecasting
di: Cheng, Yunyao, et al.
Pubblicazione: (2022)

Unraveling Student Anxiety in EFL Classrooms in China: The Roles of the Classroom Environment and Control–Value Appraisals
di: Quan Qian, et al.
Pubblicazione: (2026)

Modeling, simulation, and experimental studies of a novel battery charger for fuel cell applications based on a new high step‐up DC‐DC converter
di: Pezhman Bayat, et al.
Pubblicazione: (2024)

Centroidal State Estimation based on the Koopman Embedding for Dynamic Legged Locomotion
di: Khorshidi, Shahram, et al.
Pubblicazione: (2024)

Reconstruction Error-based Anomaly Detection with Few Outlying Examples
di: Angiulli, Fabrizio, et al.
Pubblicazione: (2023)

New Deformity Outline on the Breast Radiation Therapy for diminishing Absorbed Dose Ratio
di: A. Khorshidi
Pubblicazione: (2023)

Hybrid Multi-stage Decoding for Few-shot NER with Entity-aware Contrastive Learning
di: Liu, Congying, et al.
Pubblicazione: (2024)

Intraluminal vesicle trafficking is involved in the secretion of base excision repair protein APE1
di: Isabella Parolini, et al.
Pubblicazione: (2024)

Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples
di: Sato, Soma, et al.
Pubblicazione: (2024)

Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks
di: Toshniwal, Dhruv, et al.
Pubblicazione: (2024)

Few-shot Defect Image Generation based on Consistency Modeling
di: Shi, Qingfeng, et al.
Pubblicazione: (2024)

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

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

FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
di: Tang, Yongjian, et al.
Pubblicazione: (2024)

Towards Realistic Example-based Modeling via 3D Gaussian Stitching
di: Gao, Xinyu, et al.
Pubblicazione: (2024)

Entity Disambiguation via Fusion Entity Decoding
di: Wang, Junxiong, et al.
Pubblicazione: (2024)

Small Object Few-shot Segmentation for Vision-based Industrial Inspection
di: Zhang, Zilong, et al.
Pubblicazione: (2024)

Bridge the Points: Graph-based Few-shot Segment Anything Semantically
di: Zhang, Anqi, et al.
Pubblicazione: (2024)

Covariance-based Space Regularization for Few-shot Class Incremental Learning
di: Hu, Yijie, et al.
Pubblicazione: (2024)

From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts
di: Košprdić, Miloš, et al.
Pubblicazione: (2023)

How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain
di: Li, Mingchen, et al.
Pubblicazione: (2023)

Zero- and Few-shot Named Entity Recognition and Text Expansion in Medication Prescriptions using ChatGPT
di: Isaradech, Natthanaphop, et al.
Pubblicazione: (2024)

On the Difficulty of Selecting Few-Shot Examples for Effective LLM-based Vulnerability Detection
di: Hannan, Md Abdul, et al.
Pubblicazione: (2025)

IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning
di: Lee, Soeun, et al.
Pubblicazione: (2024)