A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery
Fuente:
arXiv
Guardado en:
| Autores principales: | Sng, Grace, Zhang, Yanming, Mueller, Klaus |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Multi-Agent Causal Discovery Using Large Language Models
por: Le, Hao Duong, et al.
Publicado: (2024)
por: Le, Hao Duong, et al.
Publicado: (2024)
CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models
por: Zhang, Yanming, et al.
Publicado: (2024)
por: Zhang, Yanming, et al.
Publicado: (2024)
Large Language Models for Constrained-Based Causal Discovery
por: Cohrs, Kai-Hendrik, et al.
Publicado: (2024)
por: Cohrs, Kai-Hendrik, et al.
Publicado: (2024)
Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models
por: Nguyen, Vy, et al.
Publicado: (2025)
por: Nguyen, Vy, et al.
Publicado: (2025)
Alleviating Hallucinations of Large Language Models through Induced Hallucinations
por: Zhang, Yue, et al.
Publicado: (2023)
por: Zhang, Yue, et al.
Publicado: (2023)
Mitigating Hallucinations in Large Language Models via Causal Reasoning
por: Li, Yuangang, et al.
Publicado: (2025)
por: Li, Yuangang, et al.
Publicado: (2025)
Large Language Models for Causal Discovery: Current Landscape and Future Directions
por: Wan, Guangya, et al.
Publicado: (2024)
por: Wan, Guangya, et al.
Publicado: (2024)
CCHall: A Novel Benchmark for Joint Cross-Lingual and Cross-Modal Hallucinations Detection in Large Language Models
por: Zhang, Yongheng, et al.
Publicado: (2025)
por: Zhang, Yongheng, et al.
Publicado: (2025)
Credal Transformer: A Principled Approach for Quantifying and Mitigating Hallucinations in Large Language Models
por: Ji, Shihao, et al.
Publicado: (2025)
por: Ji, Shihao, et al.
Publicado: (2025)
Measuring and Eliminating Refusals in Military Large Language Models
por: FitzGerald, Jack, et al.
Publicado: (2026)
por: FitzGerald, Jack, et al.
Publicado: (2026)
ANAH: Analytical Annotation of Hallucinations in Large Language Models
por: Ji, Ziwei, et al.
Publicado: (2024)
por: Ji, Ziwei, et al.
Publicado: (2024)
Copy-Paste to Mitigate Large Language Model Hallucinations
por: Long, Yongchao, et al.
Publicado: (2025)
por: Long, Yongchao, et al.
Publicado: (2025)
PFME: A Modular Approach for Fine-grained Hallucination Detection and Editing of Large Language Models
por: Deng, Kunquan, et al.
Publicado: (2024)
por: Deng, Kunquan, et al.
Publicado: (2024)
Probing Causality Manipulation of Large Language Models
por: Zhang, Chenyang, et al.
Publicado: (2024)
por: Zhang, Chenyang, et al.
Publicado: (2024)
An Evolutionary Large Language Model for Hallucination Mitigation
por: Boulesnane, Abdennour, et al.
Publicado: (2024)
por: Boulesnane, Abdennour, et al.
Publicado: (2024)
Trustworthy AI for Medicine: Continuous Hallucination Detection and Elimination with CHECK
por: Garcia-Fernandez, Carlos, et al.
Publicado: (2025)
por: Garcia-Fernandez, Carlos, et al.
Publicado: (2025)
Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models
por: Sato, Makoto
Publicado: (2025)
por: Sato, Makoto
Publicado: (2025)
MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination
por: Jia, Ao, et al.
Publicado: (2025)
por: Jia, Ao, et al.
Publicado: (2025)
Confabulation: The Surprising Value of Large Language Model Hallucinations
por: Sui, Peiqi, et al.
Publicado: (2024)
por: Sui, Peiqi, et al.
Publicado: (2024)
The Impact of Negated Text on Hallucination with Large Language Models
por: Seo, Jaehyung, et al.
Publicado: (2025)
por: Seo, Jaehyung, et al.
Publicado: (2025)
Theoretical Foundations and Mitigation of Hallucination in Large Language Models
por: Gumaan, Esmail
Publicado: (2025)
por: Gumaan, Esmail
Publicado: (2025)
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
por: Lv, Qitan, et al.
Publicado: (2024)
por: Lv, Qitan, et al.
Publicado: (2024)
How Large Language Models are Designed to Hallucinate
por: Ackermann, Richard, et al.
Publicado: (2025)
por: Ackermann, Richard, et al.
Publicado: (2025)
Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction
por: Naik, Atharva, et al.
Publicado: (2024)
por: Naik, Atharva, et al.
Publicado: (2024)
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
por: Chen, Yuyan, et al.
Publicado: (2024)
por: Chen, Yuyan, et al.
Publicado: (2024)
Where does In-context Translation Happen in Large Language Models
por: Sia, Suzanna, et al.
Publicado: (2024)
por: Sia, Suzanna, et al.
Publicado: (2024)
Reference-free Hallucination Detection for Large Vision-Language Models
por: Li, Qing, et al.
Publicado: (2024)
por: Li, Qing, et al.
Publicado: (2024)
Beyond Facts: Evaluating Intent Hallucination in Large Language Models
por: Hao, Yijie, et al.
Publicado: (2025)
por: Hao, Yijie, et al.
Publicado: (2025)
HALO: An Ontology for Representing and Categorizing Hallucinations in Large Language Models
por: Nananukul, Navapat, et al.
Publicado: (2023)
por: Nananukul, Navapat, et al.
Publicado: (2023)
Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
por: Chrysostomou, George, et al.
Publicado: (2023)
por: Chrysostomou, George, et al.
Publicado: (2023)
Neural Probe-Based Hallucination Detection for Large Language Models
por: Liang, Shize, et al.
Publicado: (2025)
por: Liang, Shize, et al.
Publicado: (2025)
Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models
por: Feng, Yijun
Publicado: (2025)
por: Feng, Yijun
Publicado: (2025)
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
por: Gu, Yuzhe, et al.
Publicado: (2024)
por: Gu, Yuzhe, et al.
Publicado: (2024)
HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models
por: Jiang, Xinyan, et al.
Publicado: (2025)
por: Jiang, Xinyan, et al.
Publicado: (2025)
Micro-Macro Retrieval: Reducing Long-Form Hallucination in Large Language Models
por: Feng, Yujie, et al.
Publicado: (2026)
por: Feng, Yujie, et al.
Publicado: (2026)
Measuring the Impact of Lexical Training Data Coverage on Hallucination Detection in Large Language Models
por: Zhang, Shuo, et al.
Publicado: (2025)
por: Zhang, Shuo, et al.
Publicado: (2025)
Causal Inference with Large Language Model: A Survey
por: Ma, Jing
Publicado: (2024)
por: Ma, Jing
Publicado: (2024)
Large Language Models for Medical OSCE Assessment: A Novel Approach to Transcript Analysis
por: Shakur, Ameer Hamza, et al.
Publicado: (2024)
por: Shakur, Ameer Hamza, et al.
Publicado: (2024)
Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models
por: Jiang, Chaoya, et al.
Publicado: (2024)
por: Jiang, Chaoya, et al.
Publicado: (2024)
Reducing Hallucinations of Medical Multimodal Large Language Models with Visual Retrieval-Augmented Generation
por: Chu, Yun-Wei, et al.
Publicado: (2025)
por: Chu, Yun-Wei, et al.
Publicado: (2025)
Ejemplares similares
-
Multi-Agent Causal Discovery Using Large Language Models
por: Le, Hao Duong, et al.
Publicado: (2024) -
CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models
por: Zhang, Yanming, et al.
Publicado: (2024) -
Large Language Models for Constrained-Based Causal Discovery
por: Cohrs, Kai-Hendrik, et al.
Publicado: (2024) -
Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models
por: Nguyen, Vy, et al.
Publicado: (2025) -
Alleviating Hallucinations of Large Language Models through Induced Hallucinations
por: Zhang, Yue, et al.
Publicado: (2023)