SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Abdaljalil, Samir, Kurban, Hasan, Sharma, Parichit, Serpedin, Erchin, Atat, Rachad |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Halluverse-M^3: A multitask multilingual benchmark for hallucination in LLMs
by: Abdaljalil, Samir, et al.
Published: (2026)
by: Abdaljalil, Samir, et al.
Published: (2026)
HalluVerse25: Fine-grained Multilingual Benchmark Dataset for LLM Hallucinations
by: Abdaljalil, Samir, et al.
Published: (2025)
by: Abdaljalil, Samir, et al.
Published: (2025)
Knowing When Not to Answer: Abstention-Aware Scientific Reasoning
by: Abdaljalil, Samir, et al.
Published: (2026)
by: Abdaljalil, Samir, et al.
Published: (2026)
Evaluating Multilingual and Code-Switched Alignment in LLMs via Synthetic Natural Language Inference
by: Abdaljalil, Samir, et al.
Published: (2025)
by: Abdaljalil, Samir, et al.
Published: (2025)
Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models
by: Abdaljalil, Samir, et al.
Published: (2025)
by: Abdaljalil, Samir, et al.
Published: (2025)
Audit-of-Understanding: Posterior-Constrained Inference for Mathematical Reasoning in Language Models
by: Abdaljalil, Samir, et al.
Published: (2025)
by: Abdaljalil, Samir, et al.
Published: (2025)
SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs
by: Abdaljalil, Samir, et al.
Published: (2025)
by: Abdaljalil, Samir, et al.
Published: (2025)
Multilingual Prompt Localization for Agent-as-a-Judge: Language and Backbone Sensitivity in Requirement-Level Evaluation
by: Mahmood, Alhasan, et al.
Published: (2026)
by: Mahmood, Alhasan, et al.
Published: (2026)
4D Synchronized Fields: Motion-Language Gaussian Splatting for Temporal Scene Understanding
by: Barhdadi, Mohamed Rayan, et al.
Published: (2026)
by: Barhdadi, Mohamed Rayan, et al.
Published: (2026)
Joint Sensor Deployment and Physics-Informed Graph Transformer for Smart Grid Attack Detection
by: Elnour, Mariam, et al.
Published: (2026)
by: Elnour, Mariam, et al.
Published: (2026)
Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning
by: Polat, Can, et al.
Published: (2025)
by: Polat, Can, et al.
Published: (2025)
SCALAR: Quantifying Structural Hallucination, Consistency, and Reasoning Gaps in Materials Foundation Models
by: Polat, Can, et al.
Published: (2026)
by: Polat, Can, et al.
Published: (2026)
QuantumCanvas: A Multimodal Benchmark for Visual Learning of Atomic Interactions
by: Polat, Can, et al.
Published: (2025)
by: Polat, Can, et al.
Published: (2025)
EMPATHIA: Multi-Faceted Human-AI Collaboration for Refugee Integration
by: Barhdadi, Mohamed Rayan, et al.
Published: (2025)
by: Barhdadi, Mohamed Rayan, et al.
Published: (2025)
xChemAgents: Agentic AI for Explainable Quantum Chemistry
by: Polat, Can, et al.
Published: (2025)
by: Polat, Can, et al.
Published: (2025)
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs
by: Kossen, Jannik, et al.
Published: (2024)
by: Kossen, Jannik, et al.
Published: (2024)
Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework
by: Polat, Can, et al.
Published: (2025)
by: Polat, Can, et al.
Published: (2025)
Understanding the Capabilities of Molecular Graph Neural Networks in Materials Science Through Multimodal Learning and Physical Context Encoding
by: Polat, Can, et al.
Published: (2025)
by: Polat, Can, et al.
Published: (2025)
C2NP: A Benchmark for Learning Scale-Dependent Geometric Invariances in 3D Materials Generation
by: Polat, Can, et al.
Published: (2026)
by: Polat, Can, et al.
Published: (2026)
How Far Can You Grow? Characterizing the Extrapolation Frontier of Graph Generative Models for Materials Science
by: Polat, Can, et al.
Published: (2026)
by: Polat, Can, et al.
Published: (2026)
Detecting Hallucinations in SpeechLLMs at Inference Time Using Attention Maps
by: Waldendorf, Jonas, et al.
Published: (2026)
by: Waldendorf, Jonas, et al.
Published: (2026)
Hallucination Detection with the Internal Layers of LLMs
by: Preiß, Martin
Published: (2025)
by: Preiß, Martin
Published: (2025)
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection
by: Chen, Kedi, et al.
Published: (2025)
by: Chen, Kedi, et al.
Published: (2025)
The Two Sides of the Coin: Hallucination Generation and Detection with LLMs as Evaluators for LLMs
by: Bui, Anh Thu Maria, et al.
Published: (2024)
by: Bui, Anh Thu Maria, et al.
Published: (2024)
IRIS: A Real-World Benchmark for Inverse Recovery and Identification of Physical Dynamic Systems from Monocular Video
by: Khanbayov, Rasul, et al.
Published: (2026)
by: Khanbayov, Rasul, et al.
Published: (2026)
Hallucination Detection in LLMs with Topological Divergence on Attention Graphs
by: Bazarova, Alexandra, et al.
Published: (2025)
by: Bazarova, Alexandra, et al.
Published: (2025)
Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation?
by: Gogoulou, Evangelia, et al.
Published: (2025)
by: Gogoulou, Evangelia, et al.
Published: (2025)
Graphing the Truth: Structured Visualizations for Automated Hallucination Detection in LLMs
by: Agrawal, Tanmay
Published: (2025)
by: Agrawal, Tanmay
Published: (2025)
Cost-Effective Hallucination Detection for LLMs
by: Valentin, Simon, et al.
Published: (2024)
by: Valentin, Simon, et al.
Published: (2024)
Lie to Me: Knowledge Graphs for Robust Hallucination Self-Detection in LLMs
by: Kale, Sahil, et al.
Published: (2025)
by: Kale, Sahil, et al.
Published: (2025)
DSC2025 -- ViHallu Challenge: Detecting Hallucination in Vietnamese LLMs
by: Nguyen, Anh Thi-Hoang, et al.
Published: (2026)
by: Nguyen, Anh Thi-Hoang, et al.
Published: (2026)
Hallucination Detection and Hallucination Mitigation: An Investigation
by: Luo, Junliang, et al.
Published: (2024)
by: Luo, Junliang, et al.
Published: (2024)
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
by: Zhang, Chaowei, et al.
Published: (2025)
by: Zhang, Chaowei, et al.
Published: (2025)
AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs
by: Matys, Piotr, et al.
Published: (2025)
by: Matys, Piotr, et al.
Published: (2025)
ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs
by: Zhang, Zhenliang, et al.
Published: (2025)
by: Zhang, Zhenliang, et al.
Published: (2025)
A Geometric Taxonomy of Hallucinations in LLMs
by: Marín, Javier
Published: (2026)
by: Marín, Javier
Published: (2026)
The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs
by: Janiak, Denis, et al.
Published: (2025)
by: Janiak, Denis, et al.
Published: (2025)
Hallucination is Inevitable for LLMs with the Open World Assumption
by: Xu, Bowen
Published: (2025)
by: Xu, Bowen
Published: (2025)
Learned Hallucination Detection in Black-Box LLMs using Token-level Entropy Production Rate
by: Moslonka, Charles, et al.
Published: (2025)
by: Moslonka, Charles, et al.
Published: (2025)
HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs
by: Li, Qing, et al.
Published: (2025)
by: Li, Qing, et al.
Published: (2025)
Similar Items
-
Halluverse-M^3: A multitask multilingual benchmark for hallucination in LLMs
by: Abdaljalil, Samir, et al.
Published: (2026) -
HalluVerse25: Fine-grained Multilingual Benchmark Dataset for LLM Hallucinations
by: Abdaljalil, Samir, et al.
Published: (2025) -
Knowing When Not to Answer: Abstention-Aware Scientific Reasoning
by: Abdaljalil, Samir, et al.
Published: (2026) -
Evaluating Multilingual and Code-Switched Alignment in LLMs via Synthetic Natural Language Inference
by: Abdaljalil, Samir, et al.
Published: (2025) -
Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models
by: Abdaljalil, Samir, et al.
Published: (2025)