Copertina

WikiCausal: Corpus and Evaluation Framework for Causal Knowledge Graph Construction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Hassanzadeh, Oktie
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL
di: Baek, Jinheon, et al.
Pubblicazione: (2025)

Distilling Event Sequence Knowledge From Large Language Models
di: Wadhwa, Somin, et al.
Pubblicazione: (2024)

WiCER: Wiki-memory Compile, Evaluate, Refine Iterative Knowledge Compilation for LLM Wiki Systems
di: Huerta, Juan M.
Pubblicazione: (2026)

WikiNER-fr-gold: A Gold-Standard NER Corpus
di: Cao, Danrun, et al.
Pubblicazione: (2024)

Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery
di: Susanti, Yuni, et al.
Pubblicazione: (2024)

Paths to Causality: Finding Informative Subgraphs Within Knowledge Graphs for Knowledge-Based Causal Discovery
di: Susanti, Yuni, et al.
Pubblicazione: (2025)

CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models
di: Han, Kairong, et al.
Pubblicazione: (2025)

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise
di: Xu, Zhi, et al.
Pubblicazione: (2026)

KGValidator: A Framework for Automatic Validation of Knowledge Graph Construction
di: Boylan, Jack, et al.
Pubblicazione: (2024)

Generative Framework for Personalized Persuasion: Inferring Causal, Counterfactual, and Latent Knowledge
di: Zeng, Donghuo, et al.
Pubblicazione: (2025)

IDIAPers @ Causal News Corpus 2022: Efficient Causal Relation Identification Through a Prompt-based Few-shot Approach
di: Burdisso, Sergio, et al.
Pubblicazione: (2022)

Enhancing Knowledge Graph Construction: Evaluating with Emphasis on Hallucination, Omission, and Graph Similarity Metrics
di: Ghanem, Hussam, et al.
Pubblicazione: (2025)

A Causal Graph Approach to Oppositional Narrative Analysis
di: Revilla, Diego, et al.
Pubblicazione: (2026)

Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study in the Semiconductor Manufacturing Industry
di: Razouk, Houssam, et al.
Pubblicazione: (2024)

Knowledge-Graph Based RAG System Evaluation Framework
di: Dong, Sicheng, et al.
Pubblicazione: (2025)

Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs
di: Luo, Hang, et al.
Pubblicazione: (2025)

Causal Interventions Reveal Shared Structure Across English Filler-Gap Constructions
di: Boguraev, Sasha, et al.
Pubblicazione: (2025)

WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
di: Hou, Yufang, et al.
Pubblicazione: (2024)

Causal Evaluation of Language Models
di: Chen, Sirui, et al.
Pubblicazione: (2024)

CausalEval: Towards Better Causal Reasoning in Language Models
di: Yu, Longxuan, et al.
Pubblicazione: (2024)

Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
di: Vashishtha, Aniket, et al.
Pubblicazione: (2023)

Can LLMs be Good Graph Judge for Knowledge Graph Construction?
di: Huang, Haoyu, et al.
Pubblicazione: (2024)

Enhancing Complex Causality Extraction via Improved Subtask Interaction and Knowledge Fusion
di: Gao, Jinglong, et al.
Pubblicazione: (2024)

Language-Specific Representation of Emotion-Concept Knowledge Causally Supports Emotion Inference
di: Li, Ming, et al.
Pubblicazione: (2023)

CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
di: Sun, Yuxi, et al.
Pubblicazione: (2025)

CausalDetox: Causal Head Selection and Intervention for Language Model Detoxification
di: Wang, Yian, et al.
Pubblicazione: (2026)

Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective
di: Yang, Rui, et al.
Pubblicazione: (2024)

PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
di: Gong, Albert, et al.
Pubblicazione: (2025)

Construction of Historical Knowledge Graphs Based on BERT and Graph Neural Networks
di: Li, Ping, et al.
Pubblicazione: (2026)

Latent Causal Probing: A Formal Perspective on Probing with Causal Models of Data
di: Jin, Charles, et al.
Pubblicazione: (2024)

Prompting or Fine-tuning? Exploring Large Language Models for Causal Graph Validation
di: Susanti, Yuni, et al.
Pubblicazione: (2024)

A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networks
di: Kabal, Othmane, et al.
Pubblicazione: (2026)

Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
di: Zhang, Bowen, et al.
Pubblicazione: (2024)

Causal Interventions on Causal Paths: Mapping GPT-2's Reasoning From Syntax to Semantics
di: Lee, Isabelle, et al.
Pubblicazione: (2024)

Compositional Causal Reasoning Evaluation in Language Models
di: Maasch, Jacqueline R. M. A., et al.
Pubblicazione: (2025)

Graph-of-Causal Evolution: Challenging Chain-of-Model for Reasoning
di: Wang, Libo
Pubblicazione: (2025)

MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph
di: Zhang, Duzhen, et al.
Pubblicazione: (2025)

Intention Knowledge Graph Construction for User Intention Relation Modeling
di: Bai, Jiaxin, et al.
Pubblicazione: (2024)

Evaluating Causal Explanation in Medical Reports with LLM-Based and Human-Aligned Metrics
di: Cho, Yousang, et al.
Pubblicazione: (2025)

METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models
di: Li, Pengfeng, et al.
Pubblicazione: (2026)