Neural Message-Passing on Attention Graphs for Hallucination Detection | Paper Citation Record

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This paper cites On the bottleneck of graph neural networks and its practical implications.International Conference on Learning Representations, 2021.

Neural Message-Passing on Attention Graphs for Hallucination Detection On the bottleneck of graph neural networks and its practical implications.International Conference on Learning Representations, 2021

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This paper cites The internal state of an llm knows when it’s lying.

Neural Message-Passing on Attention Graphs for Hallucination Detection The internal state of an llm knows when it’s lying

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This paper cites Learning on llm output signatures for gray-box behavior analysis.

Neural Message-Passing on Attention Graphs for Hallucination Detection Learning on llm output signatures for gray-box behavior analysis

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This paper cites Araújo, Alex Vitvitskyi, Razvan Pascanu, and Petar Veličković.

Neural Message-Passing on Attention Graphs for Hallucination Detection Araújo, Alex Vitvitskyi, Razvan Pascanu, and Petar Veličković

Reference 4

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This paper cites Relational inductive biases, deep learning, and graph networks.

Neural Message-Passing on Attention Graphs for Hallucination Detection Relational inductive biases, deep learning, and graph networks

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This paper cites Hallucination Detection in LLMs with Topological Divergence on Attention Graphs.

Neural Message-Passing on Attention Graphs for Hallucination Detection Hallucination Detection in LLMs with Topological Divergence on Attention Graphs

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This paper cites Probing classifiers: Promises, shortcomings, and advances.Computational Linguistics, 48(1):207–219, 2022.

Neural Message-Passing on Attention Graphs for Hallucination Detection Probing classifiers: Promises, shortcomings, and advances.Computational Linguistics, 48(1):207–219, 2022

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This paper cites Experiment tracking with weights and biases, 2020.

Neural Message-Passing on Attention Graphs for Hallucination Detection Experiment tracking with weights and biases, 2020

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This paper cites Hallucination detection in llms using spectral features of attention maps.arXiv:2502.17598, 2025.

Neural Message-Passing on Attention Graphs for Hallucination Detection Hallucination detection in llms using spectral features of attention maps.arXiv:2502.17598, 2025

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This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

Neural Message-Passing on Attention Graphs for Hallucination Detection Discovering Latent Knowledge in Language Models Without Supervision

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This paper cites Hallucinated but factual! inspecting the factuality of hallucinations in abstractive summarization.

Neural Message-Passing on Attention Graphs for Hallucination Detection Hallucinated but factual! inspecting the factuality of hallucinations in abstractive summarization

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This paper cites INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.

Neural Message-Passing on Attention Graphs for Hallucination Detection INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

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Neural Message-Passing on Attention Graphs for Hallucination Detection Unresolved cited work

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Neural Message-Passing on Attention Graphs for Hallucination Detection Unresolved cited work

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This paper cites Fast graph representation learning with PyTorch Geometric.

Neural Message-Passing on Attention Graphs for Hallucination Detection Fast graph representation learning with PyTorch Geometric

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Observation 12ad1ab7-8a9c-4d8c-93b7-70b636061da8 · outbound

This paper cites Schoenholz, Patrick F.

Neural Message-Passing on Attention Graphs for Hallucination Detection Schoenholz, Patrick F

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Observation 1196f1a3-fe99-47d2-9783-628be08c082c · outbound

This paper cites Bronstein, and Kirill Veselkov.

Neural Message-Passing on Attention Graphs for Hallucination Detection Bronstein, and Kirill Veselkov

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Observation 9292f352-3d1b-4c4b-9073-a73c98c35c0a · outbound

This paper cites Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation.

Neural Message-Passing on Attention Graphs for Hallucination Detection Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation

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Observation bebc7ce7-0457-48f9-b219-938b4896d90c · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Information Systems, 2023.

Neural Message-Passing on Attention Graphs for Hallucination Detection A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Information Systems, 2023

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This paper cites Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models.

Neural Message-Passing on Attention Graphs for Hallucination Detection Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models

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This paper cites Survey of hallucination in natural language generation.

Neural Message-Passing on Attention Graphs for Hallucination Detection Survey of hallucination in natural language generation

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This paper cites Mistral 7B.

Neural Message-Passing on Attention Graphs for Hallucination Detection Mistral 7B

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Observation e3b21d57-1a2d-4fe6-8088-37b439926265 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Neural Message-Passing on Attention Graphs for Hallucination Detection Language Models (Mostly) Know What They Know

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This paper cites Kipf and Max Welling.

Neural Message-Passing on Attention Graphs for Hallucination Detection Kipf and Max Welling

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This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

Neural Message-Passing on Attention Graphs for Hallucination Detection Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

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This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

Neural Message-Passing on Attention Graphs for Hallucination Detection Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

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This paper cites Inference- time intervention: Eliciting truthful answers from a language model.Advances in Neural Information Processing Systems, 36, 2024.

Neural Message-Passing on Attention Graphs for Hallucination Detection Inference- time intervention: Eliciting truthful answers from a language model.Advances in Neural Information Processing Systems, 36, 2024

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This paper cites Deep learning-guided discovery of an antibiotic targeting acinetobacter baumannii.

Neural Message-Passing on Attention Graphs for Hallucination Detection Deep learning-guided discovery of an antibiotic targeting acinetobacter baumannii

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This paper cites A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation.

Neural Message-Passing on Attention Graphs for Hallucination Detection A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation

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This paper cites Decoupled Weight Decay Regularization.

Neural Message-Passing on Attention Graphs for Hallucination Detection Decoupled Weight Decay Regularization

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This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

Neural Message-Passing on Attention Graphs for Hallucination Detection SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

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This paper cites The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets.

Neural Message-Passing on Attention Graphs for Hallucination Detection The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets

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This paper cites Bronstein.

Neural Message-Passing on Attention Graphs for Hallucination Detection Bronstein

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Neural Message-Passing on Attention Graphs for Hallucination Detection LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations

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This paper cites Understanding factuality in abstractive summarization with FRANK: A benchmark for factuality metrics.

Neural Message-Passing on Attention Graphs for Hallucination Detection Understanding factuality in abstractive summarization with FRANK: A benchmark for factuality metrics

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Neural Message-Passing on Attention Graphs for Hallucination Detection Pytorch: An imperative style, high- performance deep learning library

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Neural Message-Passing on Attention Graphs for Hallucination Detection Approximation theory of the mlp model in neural networks.Acta Numerica, 8: 143–195, 1999

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Neural Message-Passing on Attention Graphs for Hallucination Detection Learning representations of irregular particle-detector geometry with distance-weighted graph networks.The European Physical Journal C, 79(7), 2019

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Neural Message-Passing on Attention Graphs for Hallucination Detection Detecting and mitigating hallucinations in multilingual summarisation

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Neural Message-Passing on Attention Graphs for Hallucination Detection Weakly Supervised Detection of Hallucinations in LLM Activations

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Neural Message-Passing on Attention Graphs for Hallucination Detection The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations

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Neural Message-Passing on Attention Graphs for Hallucination Detection Liu, and Christopher D

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Neural Message-Passing on Attention Graphs for Hallucination Detection Constructing Benchmarks and Interventions for Combating Hallucinations in LLMs

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Neural Message-Passing on Attention Graphs for Hallucination Detection On early detection of hallucinations in factual question answering

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Neural Message-Passing on Attention Graphs for Hallucination Detection Llm-check: Investigating detection of hallucinations in large language models

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Neural Message-Passing on Attention Graphs for Hallucination Detection Stokes, Kevin Yang, Kyle Swanson, Wengong Jin, Andres Cubillos-Ruiz, Nina M

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Neural Message-Passing on Attention Graphs for Hallucination Detection Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem

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Neural Message-Passing on Attention Graphs for Hallucination Detection Chamberlain, Xiaowen Dong, and Michael M

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Neural Message-Passing on Attention Graphs for Hallucination Detection Llama 2: Open Foundation and Fine-Tuned Chat Models

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Neural Message-Passing on Attention Graphs for Hallucination Detection A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

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Neural Message-Passing on Attention Graphs for Hallucination Detection Unresolved cited work

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Neural Message-Passing on Attention Graphs for Hallucination Detection Martindale, and Marine Carpuat

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Neural Message-Passing on Attention Graphs for Hallucination Detection Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension

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Neural Message-Passing on Attention Graphs for Hallucination Detection Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models

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Neural Message-Passing on Attention Graphs for Hallucination Detection Enhancing uncertainty-based hallucination detection with stronger focus

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Neural Message-Passing on Attention Graphs for Hallucination Detection Gender bias in coreference resolution: Evaluation and debiasing methods

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Neural Message-Passing on Attention Graphs for Hallucination Detection Representation Engineering: A Top-Down Approach to AI Transparency

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Neural Message-Passing on Attention Graphs for Hallucination Detection Unresolved cited work

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