Imagen de Portada

What Are the Facts? Automated Extraction of Court-Established Facts from Criminal-Court Opinions

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Bendová, Klára, Knap, Tomáš, Černý, Jan, Pour, Vojtěch, Savelka, Jaromir, Kvapilíková, Ivana, Drápal, Jakub
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Time Awareness in Large Language Models: Benchmarking Fact Recall Across Time
por: Herel, David, et al.
Publicado: (2024)

Glitter: Visualizing Lexical Surprisal for Readability in Administrative Texts
por: Černý, Jan, et al.
Publicado: (2026)

Capturing Legal Reasoning Paths from Facts to Law in Court Judgments using Knowledge Graphs
por: Kondo, Ryoma, et al.
Publicado: (2025)

Using LLMs to Discover Legal Factors
por: Gray, Morgan, et al.
Publicado: (2024)

Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models
por: Yue, Linan, et al.
Publicado: (2024)

Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments
por: Zhang, Li, et al.
Publicado: (2025)

FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
por: Sawczyn, Albert, et al.
Publicado: (2025)

Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning
por: Vladika, Juraj, et al.
Publicado: (2025)

CFEVER: A Chinese Fact Extraction and VERification Dataset
por: Lin, Ying-Jia, et al.
Publicado: (2024)

Multimodal Claim Extraction for Fact-Checking
por: Teo, Joycelyn, et al.
Publicado: (2026)

It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human
por: Harasta, Jakub, et al.
Publicado: (2024)

AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents
por: Chen, Guhong, et al.
Publicado: (2024)

Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking
por: Warren, Greta, et al.
Publicado: (2025)

Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification
por: Gunjal, Anisha, et al.
Publicado: (2024)

Can LLMs Automate Fact-Checking Article Writing?
por: Sahnan, Dhruv, et al.
Publicado: (2025)

Do LLMs Truly Understand When a Precedent Is Overruled?
por: Zhang, Li, et al.
Publicado: (2025)

Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction
por: Chen, Jianhao, et al.
Publicado: (2024)

Attacks by Content: Automated Fact-checking is an AI Security Issue
por: Schlichtkrull, Michael
Publicado: (2025)

CourtPressGER: A German Court Decision to Press Release Summarization Dataset
por: Nagl, Sebastian, et al.
Publicado: (2025)

FactCG: Enhancing Fact Checkers with Graph-Based Multi-Hop Data
por: Lei, Deren, et al.
Publicado: (2025)

FactLens: Benchmarking Fine-Grained Fact Verification
por: Mitra, Kushan, et al.
Publicado: (2024)

MCQ Difficulty Prediction via Modeling Learner Heterogeneity Using Data-Driven Cognitive Profiling
por: Krishnan, Dhriti, et al.
Publicado: (2026)

AgentsCourt: Building Judicial Decision-Making Agents with Court Debate Simulation and Legal Knowledge Augmentation
por: He, Zhitao, et al.
Publicado: (2024)

Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics
por: Ullrich, Herbert, et al.
Publicado: (2025)

MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
por: He, Jiayi, et al.
Publicado: (2025)

Adversarial Attacks Against Automated Fact-Checking: A Survey
por: Liu, Fanzhen, et al.
Publicado: (2025)

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
por: Yang, Linyao, et al.
Publicado: (2023)

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking
por: Yang, Shuo, et al.
Publicado: (2025)

Learning Facts at Scale with Active Reading
por: Lin, Jessy, et al.
Publicado: (2025)

Rethinking Loss Functions for Fact Verification
por: Mukobara, Yuta, et al.
Publicado: (2024)

Fact or Fiction? Improving Fact Verification with Knowledge Graphs through Simplified Subgraph Retrievals
por: Opsahl, Tobias A.
Publicado: (2024)

KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking
por: Lourenço, Vítor N., et al.
Publicado: (2026)

Towards Automated Fact-Checking of Real-World Claims: Exploring Task Formulation and Assessment with LLMs
por: Sahitaj, Premtim, et al.
Publicado: (2025)

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models
por: Satriani, Dario, et al.
Publicado: (2025)

ReFactX: Scalable Reasoning with Reliable Facts via Constrained Generation
por: Pozzi, Riccardo, et al.
Publicado: (2025)

FASTTRACK: Fast and Accurate Fact Tracing for LLMs
por: Chen, Si, et al.
Publicado: (2024)

Robust Claim Verification Through Fact Detection
por: Jafari, Nazanin, et al.
Publicado: (2024)

How LLMs Fail to Support Fact-Checking
por: Proma, Adiba Mahbub, et al.
Publicado: (2025)

Fact-Preserved Personalized News Headline Generation
por: Yang, Zhao, et al.
Publicado: (2025)

Fact-Level Confidence Calibration and Self-Correction
por: Yuan, Yige, et al.
Publicado: (2024)