Leveraging Graph Structures to Detect Hallucinations in Large Language Models
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Nonkes, Noa, Agaronian, Sergei, Kanoulas, Evangelos, Petcu, Roxana |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Efficient data selection employing Semantic Similarity-based Graph Structures for model training
par: Petcu, Roxana, et autres
Publié: (2024)
par: Petcu, Roxana, et autres
Publié: (2024)
SubSearch: Intermediate Rewards for Unsupervised Guided Reasoning in Complex Retrieval
par: Petcu, Roxana, et autres
Publié: (2026)
par: Petcu, Roxana, et autres
Publié: (2026)
A Survey on Recent Advances in Conversational Data Generation
par: Soudani, Heydar, et autres
Publié: (2024)
par: Soudani, Heydar, et autres
Publié: (2024)
A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers
par: Petcu, Roxana, et autres
Publié: (2025)
par: Petcu, Roxana, et autres
Publié: (2025)
Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection
par: Li, Jerry, et autres
Publié: (2025)
par: Li, Jerry, et autres
Publié: (2025)
A Graph Signal Processing Framework for Hallucination Detection in Large Language Models
par: Noël, Valentin
Publié: (2025)
par: Noël, Valentin
Publié: (2025)
Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models
par: Binkowski, Jakub, et autres
Publié: (2026)
par: Binkowski, Jakub, et autres
Publié: (2026)
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability
par: Hron, Jiri, et autres
Publié: (2024)
par: Hron, Jiri, et autres
Publié: (2024)
Self-seeding and Multi-intent Self-instructing LLMs for Generating Intent-aware Information-Seeking dialogs
par: Askari, Arian, et autres
Publié: (2024)
par: Askari, Arian, et autres
Publié: (2024)
MMD-Flagger: Leveraging Maximum Mean Discrepancy to Detect Hallucinations
par: Mitsuzawa, Kensuke, et autres
Publié: (2025)
par: Mitsuzawa, Kensuke, et autres
Publié: (2025)
TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models
par: Chang, Shenxu, et autres
Publié: (2025)
par: Chang, Shenxu, et autres
Publié: (2025)
Unmasking Hallucinations: A Causal Graph-Attention Perspective on Factual Reliability in Large Language Models
par: kurra, Sailesh kiran, et autres
Publié: (2026)
par: kurra, Sailesh kiran, et autres
Publié: (2026)
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision
par: Su, Jinyan, et autres
Publié: (2024)
par: Su, Jinyan, et autres
Publié: (2024)
(Im)possibility of Automated Hallucination Detection in Large Language Models
par: Karbasi, Amin, et autres
Publié: (2025)
par: Karbasi, Amin, et autres
Publié: (2025)
Scalable Token-Level Hallucination Detection in Large Language Models
par: Min, Rui, et autres
Publié: (2026)
par: Min, Rui, et autres
Publié: (2026)
On Large Language Models' Hallucination with Regard to Known Facts
par: Jiang, Che, et autres
Publié: (2024)
par: Jiang, Che, et autres
Publié: (2024)
Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
par: Yuan, Yifei, et autres
Publié: (2025)
par: Yuan, Yifei, et autres
Publié: (2025)
Leveraging Language Models to Detect Greenwashing
par: Vinella, Avalon, et autres
Publié: (2023)
par: Vinella, Avalon, et autres
Publié: (2023)
Confidence-Aware Sub-Structure Beam Search (CABS): Mitigating Hallucination in Structured Data Generation with Large Language Models
par: Wei, Chengwei, et autres
Publié: (2024)
par: Wei, Chengwei, et autres
Publié: (2024)
Principled Detection of Hallucinations in Large Language Models via Multiple Testing
par: Li, Jiawei, et autres
Publié: (2025)
par: Li, Jiawei, et autres
Publié: (2025)
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
par: Mündler, Niels, et autres
Publié: (2023)
par: Mündler, Niels, et autres
Publié: (2023)
Manifold-based Sampling for In-Context Hallucination Detection in Large Language Models
par: Vamshi, Bodla Krishna, et autres
Publié: (2026)
par: Vamshi, Bodla Krishna, et autres
Publié: (2026)
Leveraging NTPs for Efficient Hallucination Detection in VLMs
par: Azachi, Ofir, et autres
Publié: (2025)
par: Azachi, Ofir, et autres
Publié: (2025)
Leveraging Large Language Models for Cost-Effective, Multilingual Depression Detection and Severity Assessment
par: Xian, Longdi, et autres
Publié: (2025)
par: Xian, Longdi, et autres
Publié: (2025)
SelfCheck-Eval: A Multi-Module Framework for Zero-Resource Hallucination Detection in Large Language Models
par: Muhammed, Diyana, et autres
Publié: (2025)
par: Muhammed, Diyana, et autres
Publié: (2025)
Temporal Graph Network: Hallucination Detection in Multi-Turn Conversation
par: Rathore, Vidhi, et autres
Publié: (2026)
par: Rathore, Vidhi, et autres
Publié: (2026)
Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization
par: Tang, Zilu, et autres
Publié: (2025)
par: Tang, Zilu, et autres
Publié: (2025)
Unified Hallucination Detection for Multimodal Large Language Models
par: Chen, Xiang, et autres
Publié: (2024)
par: Chen, Xiang, et autres
Publié: (2024)
Leveraging Large Language Models and Topic Modeling for Toxicity Classification
par: Oskouie, Haniyeh Ehsani, et autres
Publié: (2024)
par: Oskouie, Haniyeh Ehsani, et autres
Publié: (2024)
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models
par: Pandit, Shrey, et autres
Publié: (2025)
par: Pandit, Shrey, et autres
Publié: (2025)
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection
par: Borra, Federico, et autres
Publié: (2024)
par: Borra, Federico, et autres
Publié: (2024)
Efficient Contrastive Decoding with Probabilistic Hallucination Detection - Mitigating Hallucinations in Large Vision Language Models -
par: Fieback, Laura, et autres
Publié: (2025)
par: Fieback, Laura, et autres
Publié: (2025)
Hallucination is Inevitable: An Innate Limitation of Large Language Models
par: Xu, Ziwei, et autres
Publié: (2024)
par: Xu, Ziwei, et autres
Publié: (2024)
Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models
par: Siddiqui, S M Tahmid, et autres
Publié: (2026)
par: Siddiqui, S M Tahmid, et autres
Publié: (2026)
Leveraging Large Language Models for Suicide Detection on Social Media with Limited Labels
par: Nguyen, Vy, et autres
Publié: (2024)
par: Nguyen, Vy, et autres
Publié: (2024)
A Survey on Hallucination in Large Vision-Language Models
par: Liu, Hanchao, et autres
Publié: (2024)
par: Liu, Hanchao, et autres
Publié: (2024)
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
par: Chuang, Yung-Sung, et autres
Publié: (2024)
par: Chuang, Yung-Sung, et autres
Publié: (2024)
Prompt-Response Semantic Divergence Metrics for Faithfulness Hallucination and Misalignment Detection in Large Language Models
par: Halperin, Igor
Publié: (2025)
par: Halperin, Igor
Publié: (2025)
In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery
par: Merler, Matteo, et autres
Publié: (2024)
par: Merler, Matteo, et autres
Publié: (2024)
Scaling Laws for Downstream Task Performance of Large Language Models
par: Isik, Berivan, et autres
Publié: (2024)
par: Isik, Berivan, et autres
Publié: (2024)
Documents similaires
-
Efficient data selection employing Semantic Similarity-based Graph Structures for model training
par: Petcu, Roxana, et autres
Publié: (2024) -
SubSearch: Intermediate Rewards for Unsupervised Guided Reasoning in Complex Retrieval
par: Petcu, Roxana, et autres
Publié: (2026) -
A Survey on Recent Advances in Conversational Data Generation
par: Soudani, Heydar, et autres
Publié: (2024) -
A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers
par: Petcu, Roxana, et autres
Publié: (2025) -
Beyond ROUGE: N-Gram Subspace Features for LLM Hallucination Detection
par: Li, Jerry, et autres
Publié: (2025)