Copertina

Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study in the Semiconductor Manufacturing Industry

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Razouk, Houssam, Benischke, Leonie, Garber, Daniel, Kern, Roman
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

Evaluating Large Language Models for Causal Modeling
di: Razouk, Houssam, et al.
Pubblicazione: (2024)

Four Guiding Principles for Modeling Causal Domain Knowledge: A Case Study on Brainstorming Approaches for Urban Blight Analysis
di: Razouk, Houssam, et al.
Pubblicazione: (2024)

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

WikiCausal: Corpus and Evaluation Framework for Causal Knowledge Graph Construction
di: Hassanzadeh, Oktie
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)

Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
di: Hua, Yuncheng, et al.
Pubblicazione: (2024)

"Who Am I, and Who Else Is Here?" Behavioral Differentiation Without Role Assignment in Multi-Agent LLM Systems
di: Kandoussi, Houssam EL
Pubblicazione: (2026)

Benchmarking LLMs for Pairwise Causal Discovery in Biomedical and Multi-Domain Contexts
di: Anuyah, Sydney, et al.
Pubblicazione: (2026)

ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks
di: Xiong, Kai, et al.
Pubblicazione: (2022)

ODKE+: Ontology-Guided Open-Domain Knowledge Extraction with LLMs
di: Khorshidi, Samira, et al.
Pubblicazione: (2025)

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)

Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes
di: Miyanishi, Yosuke, et al.
Pubblicazione: (2023)

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

Bucketing the Good Apples: A Method for Diagnosing and Improving Causal Abstraction
di: Puyin, Li, et al.
Pubblicazione: (2026)

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

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)

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

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

LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model
di: Jiang, Haitao, et al.
Pubblicazione: (2023)

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

Causality Extraction from Nuclear Licensee Event Reports Using a Hybrid Framework
di: Sohag, Shahidur Rahoman, et al.
Pubblicazione: (2024)

Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure
di: Li, Zirui, et al.
Pubblicazione: (2026)

InfoCausalQA:Can Models Perform Non-explicit Causal Reasoning Based on Infographic?
di: Ka, Keummin, et al.
Pubblicazione: (2025)

CausalARC: Abstract Reasoning with Causal World Models
di: Maasch, Jacqueline, et al.
Pubblicazione: (2025)

Cross-Domain Web Information Extraction at Pinterest
di: Farag, Michael, et al.
Pubblicazione: (2025)

Causal Language Control in Multilingual Transformers via Sparse Feature Steering
di: Chou, Cheng-Ting, et al.
Pubblicazione: (2025)

Debiasing Reward Models via Causally Motivated Inference-Time Intervention
di: Shinoda, Kazutoshi, et al.
Pubblicazione: (2026)

Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models
di: Sun, Zhouhao, et al.
Pubblicazione: (2025)

Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction
di: Qi, Ji, et al.
Pubblicazione: (2023)

Causal Understanding by LLMs: The Role of Uncertainty
di: Lithgow-Serrano, Oscar, et al.
Pubblicazione: (2025)

Event Causality Identification with Synthetic Control
di: Wang, Haoyu, et al.
Pubblicazione: (2025)

LLMs Are Prone to Fallacies in Causal Inference
di: Joshi, Nitish, et al.
Pubblicazione: (2024)

Knowledge Restoration-driven Prompt Optimization: Unlocking LLM Potential for Open-Domain Relational Triplet Extraction
di: Jing, Xiaonan, et al.
Pubblicazione: (2026)

Debiasing Large Language Models via Adaptive Causal Prompting with Sketch-of-Thought
di: Li, Bowen, et al.
Pubblicazione: (2026)

Comparative Study of Domain Driven Terms Extraction Using Large Language Models
di: Chataut, Sandeep, et al.
Pubblicazione: (2024)

Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
di: McMilin, Emily
Pubblicazione: (2022)

LEC-KG: An LLM-Embedding Collaborative Framework for Domain-Specific Knowledge Graph Construction -- A Case Study on SDGs
di: Zeng, Yikai, et al.
Pubblicazione: (2026)