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Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance
v1v2 (latest)

Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance

24 October 2024
Omer Nahum
Nitay Calderon
Orgad Keller
Idan Szpektor
Roi Reichart
ArXiv (abs)PDFHTMLHuggingFace (15 upvotes)

Papers citing "Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance"

5 / 5 papers shown
Title
From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets
From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets
Sarina Penquitt
Jonathan Klees
Rinor Cakaj
Daniel Kondermann
Matthias Rottmann
Lars Schmarje
100
1
0
06 Aug 2025
Empowering Tabular Data Preparation with Language Models: Why and How?
Empowering Tabular Data Preparation with Language Models: Why and How?
M. Ben-Chen
Yuxiang Sun
Tengchao Li
Jianwei Wang
Kai Wang
Xuemin Lin
Ying Zhang
Wenjie Zhang
LMTD
71
1
0
03 Aug 2025
StackLiverNet: A Novel Stacked Ensemble Model for Accurate and Interpretable Liver Disease Detection
StackLiverNet: A Novel Stacked Ensemble Model for Accurate and Interpretable Liver Disease Detection
Md. Ehsanul Haque
S. M. Jahidul Islam
Shakil Mia
Rumana Sharmin
Ashikuzzaman
Md Samir Morshed
Md. Tahmidul Huque
133
0
0
31 Jul 2025
Multi-Domain Explainability of Preferences
Multi-Domain Explainability of Preferences
Nitay Calderon
Liat Ein-Dor
Roi Reichart
LRM
258
0
0
26 May 2025
Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets
Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets
Hamed Jelodar
Mohammad Meymani
Roozbeh Razavi-Far
202
15
0
21 Mar 2025
1