Cover Image

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

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nahum, Omer, Calderon, Nitay, Keller, Orgad, Szpektor, Idan, Reichart, Roi
Format:	Preprint
Published:	2024
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
by: Calderon, Nitay, et al.
Published: (2024)

The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs
by: Calderon, Nitay, et al.
Published: (2025)

LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations
by: Orgad, Hadas, et al.
Published: (2024)

Inside-Out: Hidden Factual Knowledge in LLMs
by: Gekhman, Zorik, et al.
Published: (2025)

LIBERTy: A Causal Framework for Benchmarking Concept-Based Explanations of LLMs with Structural Counterfactuals
by: Toker, Gilat, et al.
Published: (2026)

Multi-Domain Explainability of Preferences
by: Calderon, Nitay, et al.
Published: (2025)

Motivation in Large Language Models
by: Nahum, Omer, et al.
Published: (2026)

Dementia Through Different Eyes: Explainable Modeling of Human and LLM Perceptions for Early Awareness
by: Peled-Cohen, Lotem, et al.
Published: (2025)

AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
by: Nakash, Itay, et al.
Published: (2025)

The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth
by: Lissak, Shir, et al.
Published: (2024)

NL-Eye: Abductive NLI for Images
by: Ventura, Mor, et al.
Published: (2024)

Leveraging NTPs for Efficient Hallucination Detection in VLMs
by: Azachi, Ofir, et al.
Published: (2025)

Measuring the Robustness of NLP Models to Domain Shifts
by: Calderon, Nitay, et al.
Published: (2023)

Distinguishing Ignorance from Error in LLM Hallucinations
by: Simhi, Adi, et al.
Published: (2024)

Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance
by: Goldman, Omer, et al.
Published: (2024)

Can LLMs Replace Economic Choice Prediction Labs? The Case of Language-based Persuasion Games
by: Shapira, Eilam, et al.
Published: (2024)

Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs
by: Simhi, Adi, et al.
Published: (2024)

Fine-Grained Detection of Context-Grounded Hallucinations Using LLMs
by: Peisakhovsky, Yehonatan, et al.
Published: (2025)

HACK: Hallucinations Along Certainty and Knowledge Axes
by: Simhi, Adi, et al.
Published: (2025)

Beneath the Surface of Consistency: Exploring Cross-lingual Knowledge Representation Sharing in LLMs
by: Ifergan, Maxim, et al.
Published: (2024)

A Systematic Review of NLP for Dementia -- Tasks, Datasets and Opportunities
by: Peled-Cohen, Lotem, et al.
Published: (2024)

DeLeaker: Dynamic Inference-Time Reweighting For Semantic Leakage Mitigation in Text-to-Image Models
by: Ventura, Mor, et al.
Published: (2025)

TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
by: Arazi, Alan, et al.
Published: (2025)

ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs
by: Simhi, Adi, et al.
Published: (2025)

Error-Driven Scene Editing for 3D Grounding in Large Language Models
by: Zhang, Yue, et al.
Published: (2025)

The Poisoned Apple Effect: Strategic Manipulation of Mediated Markets via Technology Expansion of AI Agents
by: Shapira, Eilam, et al.
Published: (2026)

Location Not Found: Exposing Implicit Local and Global Biases in Multilingual LLMs
by: Mor-Lan, Guy, et al.
Published: (2026)

Beyond Performance: Quantifying and Mitigating Label Bias in LLMs
by: Reif, Yuval, et al.
Published: (2024)

Can LLMs Learn Macroeconomic Narratives from Social Media?
by: Gueta, Almog, et al.
Published: (2024)

Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
by: Gekhman, Zorik, et al.
Published: (2026)

DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs
by: Cattan, Arie, et al.
Published: (2025)

Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling
by: Shapira, Eilam, et al.
Published: (2026)

Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions
by: Yanuka, Moran, et al.
Published: (2024)

MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs
by: Liu, Gabrielle Kaili-May, et al.
Published: (2025)

Multilinguality at the Edge: Developing Language Models for the Global South
by: Miranda, Lester James V., et al.
Published: (2026)

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
by: Gekhman, Zorik, et al.
Published: (2024)

Teaching Models to Improve on Tape
by: Bezalel, Liat, et al.
Published: (2024)

Systematic Biases in LLM Simulations of Debates
by: Taubenfeld, Amir, et al.
Published: (2024)

MDCure: A Scalable Pipeline for Multi-Document Instruction-Following
by: Liu, Gabrielle Kaili-May, et al.
Published: (2024)

DoubleDipper: Improving Long-Context LLMs via Context Recycling
by: Cattan, Arie, et al.
Published: (2024)