Imagen de Portada

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Tsymbalov, Aleksandr, Khovrichev, Mikhail
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
por: Fadeeva, Ekaterina, et al.
Publicado: (2024)

Adaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models
por: Rubashevskii, Aleksandr, et al.
Publicado: (2026)

Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps
por: Waldendorf, Jonas, et al.
Publicado: (2026)

Binary Classifier Optimization for Large Language Model Alignment
por: Jung, Seungjae, et al.
Publicado: (2024)

Evaluating Large Language Models for Health-Related Text Classification Tasks with Public Social Media Data
por: Guo, Yuting, et al.
Publicado: (2024)

MedVAL: Toward Expert-Level Medical Text Validation with Language Models
por: Aali, Asad, et al.
Publicado: (2025)

Large Language Models Are Overparameterized Text Encoders
por: K, Thennal D, et al.
Publicado: (2024)

Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation
por: Vu, Tu, et al.
Publicado: (2024)

Large Language Models as Generalizable Policies for Embodied Tasks
por: Szot, Andrew, et al.
Publicado: (2023)

Opir: Efficient Multi-Task Safety Classification for Toxicity, Jailbreaks, Hate Speech, and Harmful Content
por: Stepanov, Ihor, et al.
Publicado: (2026)

TextGrad: Automatic "Differentiation" via Text
por: Yuksekgonul, Mert, et al.
Publicado: (2024)

Large Language Models for Detection of Life-Threatening Texts
por: Nguyen, Thanh Thi, et al.
Publicado: (2025)

RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
por: Chen, Weizhe, et al.
Publicado: (2024)

ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction Tasks
por: Zhu, Yinghao, et al.
Publicado: (2024)

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
por: Oh, Jio, et al.
Publicado: (2024)

Large Language Models for Travel Behavior Prediction
por: Mo, Baichuan, et al.
Publicado: (2023)

CPLLM: Clinical Prediction with Large Language Models
por: Shoham, Ofir Ben, et al.
Publicado: (2023)

Collaborative Performance Prediction for Large Language Models
por: Zhang, Qiyuan, et al.
Publicado: (2024)

1024m at SMM4H 2024: Tasks 3, 5 & 6 -- Ensembles of Transformers and Large Language Models for Medical Text Classification
por: Kadiyala, Ram Mohan Rao, et al.
Publicado: (2024)

Large Visual-Language Models Are Also Good Classifiers: A Study of In-Context Multimodal Fake News Detection
por: Jiang, Ye, et al.
Publicado: (2024)

CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks
por: Feng, Jie, et al.
Publicado: (2024)

Large Language Models Can Self-Improve At Web Agent Tasks
por: Patel, Ajay, et al.
Publicado: (2024)

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
por: Zhu, Kaijie, et al.
Publicado: (2023)

Wikontic: Constructing Wikidata-Aligned, Ontology-Aware Knowledge Graphs with Large Language Models
por: Chepurova, Alla, et al.
Publicado: (2025)

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs
por: Chen, Hanzhu, et al.
Publicado: (2024)

Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
por: Sun, Shengyin, et al.
Publicado: (2023)

Training Large Language Models to Predict Clinical Events
por: Turtel, Benjamin, et al.
Publicado: (2026)

Benchmarking the Medical Understanding and Reasoning of Large Language Models in Arabic Healthcare Tasks
por: AlDahoul, Nouar, et al.
Publicado: (2025)

Ensemble Learning for Large Language Models in Text and Code Generation: A Survey
por: Ashiga, Mari, et al.
Publicado: (2025)

SPIN: Sparsifying and Integrating Internal Neurons in Large Language Models for Text Classification
por: Jiao, Difan, et al.
Publicado: (2023)

Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
por: Sturman, Olivia, et al.
Publicado: (2024)

Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts
por: Zhang, Yifan, et al.
Publicado: (2024)

Towards LLM-guided Causal Explainability for Black-box Text Classifiers
por: Bhattacharjee, Amrita, et al.
Publicado: (2023)

Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales
por: Resck, Lucas E., et al.
Publicado: (2024)

Explingo: Explaining AI Predictions using Large Language Models
por: Zytek, Alexandra, et al.
Publicado: (2024)

A Law of Next-Token Prediction in Large Language Models
por: He, Hangfeng, et al.
Publicado: (2024)

Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
por: Zhou, Chenxi, et al.
Publicado: (2025)

Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
por: Vatsal, Shubham, et al.
Publicado: (2025)

Evaluating Computational Accuracy of Large Language Models in Numerical Reasoning Tasks for Healthcare Applications
por: Malghan, Arjun R.
Publicado: (2025)

TharuChat: Bootstrapping Large Language Models for a Low-Resource Language via Synthetic Data and Human Validation
por: Panth, Prajwal, et al.
Publicado: (2026)